USAP-DC

{"dp_type": "Project", "free_text": "Spectral"}

[{"awards": "1840949 Fields, David", "bounds_geometry": null, "dataset_titles": "Spectral irradiance of light delivered in the top and side of the flume - BCO_DMO - Light dark Quantum yield", "datasets": [{"dataset_uid": "602066", "doi": null, "repository": "USAP-DC", "science_program": null, "title": "Spectral irradiance of light delivered in the top and side of the flume - BCO_DMO - Light dark Quantum yield", "url": "http://www.usap-dc.org/view/dataset/602066"}], "date_created": "Wed, 10 Jun 2026 00:00:00 GMT", "description": null, "east": null, "geometry": null, "instruments": null, "is_usap_dc": true, "keywords": "Antarctica; Cryosphere", "locations": "Antarctica", "north": null, "nsf_funding_programs": "Antarctic Organisms and Ecosystems", "paleo_time": null, "persons": "Fields, David", "platforms": null, "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": null, "title": null, "uid": null, "west": null}, {"awards": "2533209 Stroeve, Julienne", "bounds_geometry": "POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))", "dataset_titles": null, "datasets": null, "date_created": "Fri, 29 May 2026 00:00:00 GMT", "description": "This is a project jointly funded by the National Science Foundation\u2019s Directorate for Geosciences (NSF/GEO) and the National Environment Research Council (NERC) of the United Kingdom (UK) via the NSF/GEO-NERC Lead Agency Opportunity. This Lead Agency Opportunity allows a single joint US/UK proposal to be submitted and peer-reviewed by the Agency whose investigator has the largest proportion of the budget. Upon successful joint determination of an award recommendation, each Agency funds the proportion of the budget that supports scientists at institutions in their respective countries. Sea ice plays a critical role in the exchange of heat and gases between the ocean and atmosphere and provides essential habitat for globally important wildlife. Antarctic sea ice has become a new focus of scientific interest due record-breaking low ice extents in recent years, which has only been possible to determine from the 50-year record of sea ice concentration (SIC) derived from satellite remote sensing. Passive microwave (PM) derived datasets of sea ice provide unprecedented insight into decadal scale trends in sea ice conditions, but these products are inadequate because they do not provide uncertainty associated with this record. For example, when PM data calculates that a locality has a SIC of 50% (corresponding to 50% of the ocean\u2019s surface being covered by ice), the uncertainties and error associated with this measurement remain undefined. In this proposal, a comprehensive assessment of the spatial and temporal uncertainties associated with the SIC values derived from PM data will be conducted. To quantify these uncertainties, PM derived SIC values will be compared to finer-scale, high resolution SIC products that have been derived by applying cutting edge machine learning tools to other satellite imagery. A comprehensive understanding of differences in accuracy and uncertainty of the PM derived SIC values over space and time will be developed. Passive microwave derived sea ice concentration data are possibly the most utilized satellite product for the polar regions; however, there is a lack of rigor in their assessment of uncertainty on both temporal and spatial scales, and a diverse range of algorithms exist that can be used to derive SIC value from PM measurements. The fundamental difficulty in calculating uncertainty in these products results from the relatively coarse size of passive microwave pixels, which precludes the use of ground-truthing methods as viable routes to assess their accuracy over space and time. Two recent developments will allow the team to overcome these challenges. This project will leverage the step-change increase in the rate of satellite image acquisition with petabytes of finer resolution satellite imagery pertaining to sea ice conditions now being available to validate the accuracy of the PM SIC pixels. Advances in the capabilities of digital technologies will enable automation of the storage, processing, and analysis of these datasets to validate PM SIC data at unprecedented temporal and spatial scales. Digital technologies and machine learning (ML) methods will be applied to remote sensing imagery to quantify the spatial and temporal uncertainties associated with the calculation of Antarctic SIC derived from PM data at a decadal, pan-Antarctic scale. ML techniques will also be developed to automatically generate fine-resolution sea ice concentration charts from multispectral and radar satellite imagery. These high-resolution products will be used to quantify the uncertainty in PM derived SIC charts and conduct sensitivity analyses to diagnose the primary cause of uncertainty within the PM products. This award reflects NSF\u0027\u0027s statutory mission and has been deemed worthy of support through evaluation using the Foundation\u0027\u0027s intellectual merit and broader impacts review criteria.", "east": 180.0, "geometry": "POINT(0 -89.999)", "instruments": null, "is_usap_dc": true, "keywords": "SEA ICE; Sea Ice Concentration; Antarctic", "locations": "Antarctic", "north": -60.0, "nsf_funding_programs": null, "paleo_time": null, "persons": "Stroeve, Julienne; Meier, Walter N.", "platforms": null, "repositories": null, "science_programs": null, "south": -90.0, "title": "NSFGEO-NERC: Quantifying Error and Uncertainty in the Passive Microwave Sea Ice Record", "uid": "p0010566", "west": -180.0}, {"awards": "2044924 Barrett, John", "bounds_geometry": null, "dataset_titles": "Hyperspectral reflectance values and biophysicochemical properties of biocrusts and soils in the Fryxell Basin, McMurdo Dry Valleys, Antarctica", "datasets": [{"dataset_uid": "601773", "doi": "10.15784/601773", "repository": "USAP-DC", "science_program": null, "title": "Hyperspectral reflectance values and biophysicochemical properties of biocrusts and soils in the Fryxell Basin, McMurdo Dry Valleys, Antarctica", "url": "http://www.usap-dc.org/view/dataset/601773"}], "date_created": "Wed, 03 Apr 2024 00:00:00 GMT", "description": null, "east": null, "geometry": null, "instruments": null, "is_usap_dc": true, "keywords": "Antarctica; Carbon; Cryosphere; McMurdo Dry Valleys; Snow", "locations": "McMurdo Dry Valleys; Antarctica", "north": null, "nsf_funding_programs": "Antarctic Organisms and Ecosystems", "paleo_time": null, "persons": "Barrett, John", "platforms": null, "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": null, "title": null, "uid": null, "west": null}, {"awards": "2021699 Trusel, Luke", "bounds_geometry": "POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))", "dataset_titles": "Antarctic ice sheet daily surface melt detection from ASCAT (2007-2022); ASCAT-ERA5 Antarctic Peninsula Daily Surface Meltwater Production (2007-2022); Trusel et al 2022, Geophysical Research Letters: Publication data and code", "datasets": [{"dataset_uid": "200364", "doi": "10.5281/zenodo.7995998", "keywords": null, "people": null, "repository": "Zenodo", "science_program": null, "title": "Antarctic ice sheet daily surface melt detection from ASCAT (2007-2022)", "url": "https://zenodo.org/record/7995998"}, {"dataset_uid": "200362", "doi": "10.5281/zenodo.7995543", "keywords": null, "people": null, "repository": "Zenodo", "science_program": null, "title": "ASCAT-ERA5 Antarctic Peninsula Daily Surface Meltwater Production (2007-2022)", "url": "https://zenodo.org/record/7995543"}, {"dataset_uid": "200363", "doi": "10.5281/zenodo.6374343", "keywords": null, "people": null, "repository": "Zenodo", "science_program": null, "title": "Trusel et al 2022, Geophysical Research Letters: Publication data and code", "url": "https://zenodo.org/record/6374343"}], "date_created": "Fri, 02 Jun 2023 00:00:00 GMT", "description": "Melting of snow and ice at the surface of the Antarctic ice sheet can lead to the formation of meltwater lakes, an important precursor to ice-shelf collapse and accelerated ice-sheet mass loss. Understanding the present state of Antarctic surface melt provides a baseline to gauge how quickly melt impacts could evolve in the future and to reduce uncertainties in estimates of future sea-level rise. This project will use a suite of complimentary measurements from Earth-observing satellites, ground observations, and numerical climate and ice-shelf models to enhance understanding of surface melt and lakes, as well as the processes linking these systems. The project directly supports the scientific training of a postdoctoral associate and several undergraduate researchers. In addition, it will promote public scientific literacy and the broadening of quantitative skills for high-school students through the development and implementation of an educational unit in a partnership with an education and outreach expert and two high school teachers. Accurate prediction of sea-level contributions from Antarctica critically requires understanding current melting and supraglacial lake conditions. This project will quantify Antarctic surface melt and supraglacial lakes, and the linkages between the two phenomena. Scatterometer data will enable generation of a 19-year multi-sensor melt time series. Synthetic aperture radar data will document melt conditions across all Antarctic ice shelves at the highest spatial resolution to date (40 m). Multispectral satellite imagery will be used to delineate and measure the depth of supraglacial lakes--for the first time studying the spatial and temporal variations of Antarctic supraglacial lakes. Melt and lake observations will be compared to identify agreement and disagreement. Melt observations will be used to evaluate biases in a widely used, reanalysis-driven, regional climate model. This model will then be used to examine climatic and glaciological variables associated with supraglacial lakes. Finally, in situ observations and climate model output will drive a numerical model that simulates the entire lifecycle of surface melt and possible subsequent lake formation.", "east": 180.0, "geometry": "POINT(0 -89.999)", "instruments": null, "is_usap_dc": true, "keywords": "ICE SHEETS; Antarctica; Surface Hydrology", "locations": "Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Glaciology", "paleo_time": null, "persons": "Trusel, Luke; Moussavi, Mahsa", "platforms": null, "repo": "Zenodo", "repositories": "Zenodo", "science_programs": null, "south": -90.0, "title": "Collaborative Research: Water on the Antarctic Ice Sheet: Quantifying Surface Melt and Mapping Supraglacial Lakes", "uid": "p0010422", "west": -180.0}, {"awards": "2149519 Kurbatov, Andrei; 2149518 Fudge, Tyler", "bounds_geometry": "POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))", "dataset_titles": "ALHIC2201 and ALHIC2302 3D ECM and Layer Orientations; Allan Hills ALHIC1901 ice core 2D bubble parameters; Allan Hills ALHIC1901 ice core 3D bubble parameters; Allan Hills ALHIC1901 ice core fabric data; Allan Hills ALHIC1901 ice core texture images; Hyperspectral Images of Allan Hills Ice Core 2302 10-45m; Hyperspectral Line Scan Data from Allan Hills Ice Core ALHIC-2416", "datasets": [{"dataset_uid": "602018", "doi": "10.15784/602018", "keywords": "Allan Hills; Allan Hills Blue Ice; Antarctica; Cryosphere; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Grain Size; Ice Core Records; Microscope; Microstructure; Subgrain Boundaries", "people": "Stoll, Nicolas", "repository": "USAP-DC", "science_program": "COLDEX", "title": "Allan Hills ALHIC1901 ice core texture images", "url": "https://www.usap-dc.org/view/dataset/602018"}, {"dataset_uid": "602057", "doi": "10.15784/602057", "keywords": "Allan Hills; Allan Hills Blue Ice; Antarctica; Cryosphere; Ice Core", "people": "Kurbatov, Andrei; Kurbatov, Andrei V.; Rumsey, Roisin", "repository": "USAP-DC", "science_program": "Allan Hills", "title": "Hyperspectral Images of Allan Hills Ice Core 2302 10-45m", "url": "https://www.usap-dc.org/view/dataset/602057"}, {"dataset_uid": "602058", "doi": "10.15784/602058", "keywords": "Allan Hills Blue Ice; Antarctica; Cryosphere; Ice Core", "people": "Kurbatov, Andrei V.; Kurbatov, Andrei; Rumsey, Roisin", "repository": "USAP-DC", "science_program": "COLDEX", "title": "Hyperspectral Line Scan Data from Allan Hills Ice Core ALHIC-2416", "url": "https://www.usap-dc.org/view/dataset/602058"}, {"dataset_uid": "602009", "doi": "10.15784/602009", "keywords": "Air Bubbles; Allan Hills; Antarctica; Bubble Number Density; Cryosphere; Ice Deformation; Microstructure; Porosity", "people": "Freitag, Johannes; Stoll, Nicolas", "repository": "USAP-DC", "science_program": "COLDEX", "title": "Allan Hills ALHIC1901 ice core 3D bubble parameters", "url": "https://www.usap-dc.org/view/dataset/602009"}, {"dataset_uid": "602010", "doi": "10.15784/602010", "keywords": "Air Bubbles; Allan Hills; Antarctica; Bubble Number Density; Cryosphere; Ice Deformation; Microstructure; Porosity", "people": "Fudge, T. J.; Stoll, Nicolas", "repository": "USAP-DC", "science_program": "COLDEX", "title": "Allan Hills ALHIC1901 ice core 2D bubble parameters", "url": "https://www.usap-dc.org/view/dataset/602010"}, {"dataset_uid": "602011", "doi": "10.15784/602011", "keywords": "Air Bubbles; Allan Hills; Antarctica; Bubble Number Density; Cryosphere; Ice Deformation; Microstructure; Porosity", "people": "Stoll, Nicolas", "repository": "USAP-DC", "science_program": "COLDEX", "title": "Allan Hills ALHIC1901 ice core fabric data", "url": "https://www.usap-dc.org/view/dataset/602011"}, {"dataset_uid": "601967", "doi": "10.15784/601967", "keywords": "Allan Hills; Antarctica; Cryosphere; Electrical Conductivity; Ice Core Data", "people": "Marks Peterson, Julia; Kirkpatrick, Liam; Carter, Austin; Fudge, T. J.; Shackleton, Sarah", "repository": "USAP-DC", "science_program": "COLDEX", "title": "ALHIC2201 and ALHIC2302 3D ECM and Layer Orientations", "url": "https://www.usap-dc.org/view/dataset/601967"}], "date_created": "Sun, 07 Aug 2022 00:00:00 GMT", "description": "Ice cores provide valuable records of past climate such as atmospheric concentrations of greenhouse gasses and unmatched evidence of past abrupt climate change. Key to understanding past climate changes are the measurements of annual layers that are used to determine the age of the ice, and the timing and pace of major climate events. The current measurement limit for annual layers in ice cores is at the centimeter scale. This project aims to improve the depth resolution of measurements of the chemical impurities in ice using measurements such as electrical conductivity, hyperspectral imaging, major elements measured with laser ablation, and ice grain properties. This will advance understanding of the preservation and layering in ice cores and improve the accuracy and length of annual timescales for existing ice cores. Most of the past time preserved in an ice core is near the bed where the layers have been thinned to only a fraction of their original thickness. Interpreting highly compressed portions of ice cores is increasingly important as projects target climate records in basal ice, and old ice recovered from blue-ice areas. This project will integrate precisely co-registered electrical conductivity measurements, hyperspectral imaging, laser ablation mass spectrometer measurements of impurities, and ice physical properties to investigate sub-centimeter chemical and physical variations in polar ice. Critical to resolving thin ice layers is understanding the across-core variations that may obscure or distort the vertical layering. Analyses will be focused on samples from the WDC-06A (WAIS Divide), SPC-14 (South Pole), and GISP2 (Greenland Ice Sheet Project 2) ice cores that have well-established seasonal cycles that yielded benchmark timescales, as well a large-diameter ice core from the Allan Hills blue ice area. This work will develop state-of-the-art instrumentation and FAIR (findable, accessible, interoperable, and reusable) data handling workflow at the National Science Foundation Ice Core Facility available to the community both to enhance understanding of existing ice cores, and for use in future projects. This award reflects NSF\u0027s statutory mission and has been deemed worthy of support through evaluation using the Foundation\u0027s intellectual merit and broader impacts review criteria.", "east": 180.0, "geometry": "POINT(0 -89.999)", "instruments": null, "is_usap_dc": true, "keywords": "ICE CORE RECORDS; Ice Core; Allan Hills", "locations": "Allan Hills", "north": -60.0, "nsf_funding_programs": "Antarctic Glaciology; Antarctic Glaciology", "paleo_time": null, "persons": "Fudge, T. J.; Fegyveresi, John M; Kurbatov, Andrei V.", "platforms": null, "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -90.0, "title": "Collaborative Research: Testing Next Generation Measurement Techniques for Reconstruction of Paleoclimate Archives from Thin or Disturbed Ice Cores Sections", "uid": "p0010365", "west": -180.0}, {"awards": "2138277 Gallagher, Katherine", "bounds_geometry": "POLYGON((-78 -62,-76.2 -62,-74.4 -62,-72.6 -62,-70.8 -62,-69 -62,-67.2 -62,-65.4 -62,-63.6 -62,-61.8 -62,-60 -62,-60 -63,-60 -64,-60 -65,-60 -66,-60 -67,-60 -68,-60 -69,-60 -70,-60 -71,-60 -72,-61.8 -72,-63.6 -72,-65.4 -72,-67.2 -72,-69 -72,-70.8 -72,-72.6 -72,-74.4 -72,-76.2 -72,-78 -72,-78 -71,-78 -70,-78 -69,-78 -68,-78 -67,-78 -66,-78 -65,-78 -64,-78 -63,-78 -62))", "dataset_titles": "Current velocity and direction data from Regional Ocean Modeling System simulations (2006-2007 \u0026 2010-2011); Current velocity and direction data from Regional Ocean Modeling System simulations (2008-2009 \u0026 2018-2019); Passive particle trajectories from Regional Ocean Modeling System simulations 2008-2009 \u0026 2018-2019; Simulated krill trajectory data from Regional Ocean Modeling System simulations 2006-2007 \u0026 2010-2011; Simulated krill trajectory data from Regional Ocean Modeling System simulations 2008-2009 \u0026 2018-2019; Simulated marine debris trajectories along the West Antarctic Peninsula in 2008-2009 and 2018-2019", "datasets": [{"dataset_uid": "601779", "doi": "10.15784/601779", "keywords": "Antarctica; Cryosphere; Model Data; Ocean Currents; Physical Oceanography; Regional Ocean Modeling System; ROMS; West Antarctic Shelf", "people": "Gallagher, Katherine", "repository": "USAP-DC", "science_program": null, "title": "Current velocity and direction data from Regional Ocean Modeling System simulations (2006-2007 \u0026 2010-2011)", "url": "https://www.usap-dc.org/view/dataset/601779"}, {"dataset_uid": "601780", "doi": "10.15784/601780", "keywords": "Antarctica; Antarctic Krill; Cryosphere; Model Data; Physical Oceanography; Regional Ocean Modeling System; ROMS; West Antarctic Shelf", "people": "Gallagher, Katherine", "repository": "USAP-DC", "science_program": null, "title": "Simulated krill trajectory data from Regional Ocean Modeling System simulations 2006-2007 \u0026 2010-2011", "url": "https://www.usap-dc.org/view/dataset/601780"}, {"dataset_uid": "601655", "doi": "10.15784/601655", "keywords": "Antarctica; Antarctic Krill; Model Data; Physical Oceanography; Regional Ocean Modeling System; ROMS; West Antarctic Shelf", "people": "Gallagher, Katherine", "repository": "USAP-DC", "science_program": null, "title": "Simulated krill trajectory data from Regional Ocean Modeling System simulations 2008-2009 \u0026 2018-2019", "url": "https://www.usap-dc.org/view/dataset/601655"}, {"dataset_uid": "601656", "doi": "10.15784/601656", "keywords": "Antarctica; Model Data; Ocean Currents; Physical Oceanography; Regional Ocean Modeling System; ROMS; West Antarctic Shelf", "people": "Gallagher, Katherine", "repository": "USAP-DC", "science_program": null, "title": "Current velocity and direction data from Regional Ocean Modeling System simulations (2008-2009 \u0026 2018-2019)", "url": "https://www.usap-dc.org/view/dataset/601656"}, {"dataset_uid": "601734", "doi": "10.15784/601734", "keywords": "Antarctica; Modeling; Regional Ocean Modeling System; West Antarctic Shelf", "people": "Gallagher, Katherine", "repository": "USAP-DC", "science_program": null, "title": "Simulated marine debris trajectories along the West Antarctic Peninsula in 2008-2009 and 2018-2019", "url": "https://www.usap-dc.org/view/dataset/601734"}, {"dataset_uid": "601682", "doi": "10.15784/601682", "keywords": "Antarctica; Physical Oceanography; Regional Ocean Modeling System; ROMS", "people": "Gallagher, Katherine", "repository": "USAP-DC", "science_program": null, "title": "Passive particle trajectories from Regional Ocean Modeling System simulations 2008-2009 \u0026 2018-2019", "url": "https://www.usap-dc.org/view/dataset/601682"}], "date_created": "Tue, 19 Jul 2022 00:00:00 GMT", "description": "Pygoscelis penguins are central place foragers during the summer while they raise their chicks. They leave and return to the same colony location after hunting for food and rely on the availability of Antarctic krill, their primary food source. This research focuses on whether penguin diets and colony location reflect the retention of prey around and near colonies on the West Antarctic Peninsula. Eddies and other oceanographic processes may facilitate prey retention at certain locations, driving penguin colony establishment and success. This project hypothesizes that Pygoscelis penguin diets will be composed of more Antarctic krill (Euphausia superba) when local prey retention is high, possibly due to subsurface eddies. This hypothesis will be tested using satellite-based estimates of Pygoscelis penguin diet composition using multispectral sensor data to estimate nitrogen values and infer trophic level. Prey retention will be calculated along the peninsula using the Regional Ocean Modeling System (ROMS). Simulated particles and diel vertical migration will be used to mimic krill behavior. These particles can be experimentally seeded across multiple depths in multiple years to assess residence times in the system. Using penguin colony data from the Mapping Application for Penguin Populations and Projected Dynamics (MAPPPD), the PI will correlate diet and retention metrics to local penguin colony growth and persistence and build a predictive model of where colonies may form in the future. This award reflects NSF\u0027s statutory mission and has been deemed worthy of support through evaluation using the Foundation\u0027s intellectual merit and broader impacts review criteria.", "east": -60.0, "geometry": "POINT(-69 -67)", "instruments": null, "is_usap_dc": true, "keywords": "Antarctic Peninsula; PENGUINS; SPECIES/POPULATION INTERACTIONS; OCEAN CURRENTS", "locations": "Antarctic Peninsula", "north": -62.0, "nsf_funding_programs": "Post Doc/Travel", "paleo_time": null, "persons": "Gallagher, Katherine", "platforms": null, "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -72.0, "title": "OPP-PRF Pygoscelis Penguin Response to Potential Prey Retention along the West Antarctic Peninsula", "uid": "p0010349", "west": -78.0}, {"awards": "2019719 Brook, Edward", "bounds_geometry": "POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))", "dataset_titles": "2019-2020 Allan Hills Field Report; 2022-23 Allan Hills Intermediate Ice Core Site Selection Field Report; 2023-2024 Allan Hills End-of-Season Science Report; 2024-2025 I-187 End of season science report ; 40Ar-atm and \u03b418O data for Allan Hills ice cores ALHIC 2301, ALHIC 2302, ALHIC 2201; Airborne Radar Data: 2022-23 (CXA1) flight based HDF5/matlab format data; Airborne Radar Data: 2022-23 (CXA1) transect based (science organized) unfocused data; Airborne Radar Data: 2023-24 (CXA2) flight based data HDF5/matlab format; Airborne Radar Data: 2023-24 (CXA2) transect based (science organized) unfocused data; ALHIC2201 and ALHIC2302 3D ECM and Layer Orientations; Allan Hills 2022-23 Shallow Ice Core Field Report; Allan Hills 2025/2026 End of Season Report; Allan Hills ALHIC1901 ice core 2D bubble parameters; Allan Hills ALHIC1901 ice core 3D bubble parameters; Allan Hills ALHIC1901 ice core fabric data; Allan Hills ALHIC1901 ice core texture images; Allan Hills CMC3 ice core d18Oatm, d15N, dO2/N2, dAr/N2, d40/36Ar, d40/38Ar 2021 \u0026 2022; Allan Hills dXeKr measurements and mean ocean temperature reconstruction; Allan Hills I-188 Field Season Report 2022-2023; Allan Hills ice water stable isotope record for dD, d18O; Basal Ice Unit Thickness Mapped by the NSF COLDEX MARFA Ice Penetrating Radar; Borehole temperature measurements using distributed temperature sensing in Allan Hills, Antarctica (2022-2024); CO2 and CH4 from Allan Hills ice cores ALHIC1901, 1902, and 1903; COLDEX survey preliminary accumulation; COLDEX VHF MARFA Open Polar Radar radargrams; Continuous Flow Analysis of ALHIC 2201 and 2302: water isotopes, methane, and dust; Dust Record from Allan Hills Blue Ice: Towards Extending the Archive to 4000 ka; Firn microstructure from micro-computer tomography of PICO2303, Allan Hills Blue Ice Area, Antarctica; Fractional Thickness of Incoherent Scattering Within the Basal Unit Mapped by the NSF COLDEX MARFA Ice-Penetrating Radar; GPS stake measurements of surface ice flow at the Allan Hills, Antarctica (2023-2025); Heavy noble gases (Ar/Xe/Kr) from ALHIC1901, 1902, and 1903; Hyperspectral Images of Allan Hills Ice Core 2302 10-45m; Hyperspectral Line Scan Data from Allan Hills Ice Core ALHIC-2416; I-165-M GPR Field Report 2019-2020; Magnetotelluric measurements of crustal structure at a potential old ice drilling site on the flank of Dome A, Antarctica; MOT data (Xe/Kr) from Allan Hills ice cores ALHIC1901, 1902, and 1903; NSF COLDEX 2022-2023 Airborne Season (CXA1): Level 1B Serial Instrument Measurements; NSF COLDEX 2022-2023 Airborne Season (CXA1): Level 1 gravimeter instrument measurements; NSF COLDEX 2022-23 GNSS/IMU Level 1 instrument measurements from Dome A, East Antarctica; NSF COLDEX 2022-23 Level 2 Basal Specularity Content Profiles; NSF COLDEX 2022-23 Riegl Laser Altimeter Level 2 Geolocated Surface Elevation Triplets; NSF COLDEX 2023-2024 Airborne Season (CXA2): Level 1B ; NSF COLDEX 2023-2024 Airborne Season (CXA2): Level 1 gravimeter instrument measurements; NSF COLDEX 2023-24 GNSS/IMU Level 1 instrument measurements from Dome A, East Antarctica; NSF COLDEX 2023-24 Level 2 Basal Specularity Content Profiles; NSF COLDEX 2023-24 Riegl Laser Altimeter Level 2 Geolocated Surface Elevation Triplets; NSF COLDEX Ice Penetrating Radar Derived Grids of the Southern Flank of Dome C; NSF COLDEX/Open Polar Radar Example Delay Doppler Classification of Englacial Reflectors; NSF COLDEX Raw MARFA Ice Penetrating Radar data; O2 triple isotope record from the Allan Hills, Antarctica, ranging from 500 - 2800 ka; Oxygen and hydrogen isotope compositions and associated d-excess of ice from ALHIC1903 drilled at the Allan Hills Blue Ice Area; Rare earth elemental concentrations of leached ice core dust from ALHIC1903 drilled at the Allan Hills Blue Ice Area; Replicate O-17-excess by continuous flow laser spectroscopy for an ice core section at Summit, Greenland; Rising Seas: Representations of Antarctica, Climate Change, and Sea Level Rise in U.S. Newspaper Coverage; Snapshot record of CO2 and CH4 from the Allan Hills, Antarctica, ranging from 400,000 to 3 million years old; 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Repository", "science_program": null, "title": "NSF COLDEX 2022-2023 Airborne Season (CXA1): Level 1 gravimeter instrument measurements", "url": "https://doi.org/10.18738/T8/ANTMMV"}, {"dataset_uid": "200498", "doi": "10.18738/T8/ANTMMV", "keywords": null, "people": null, "repository": "Texas Data Repository", "science_program": null, "title": "NSF COLDEX 2022-2023 Airborne Season (CXA1): Level 1B Serial Instrument Measurements", "url": "https://doi.org/10.18738/T8/ANTMMV"}, {"dataset_uid": "200536", "doi": "10.18738/T8/LHSVH5", "keywords": null, "people": null, "repository": "Texas Data Repository", "science_program": null, "title": "NSF COLDEX 2023-2024 Airborne Season (CXA2): Level 1B ", "url": "https://doi.org/10.18738/T8/LHSVH5"}, {"dataset_uid": "200542", "doi": "10.7914/dmhj-4441", "keywords": null, "people": null, "repository": "FDSN", "science_program": null, "title": "Magnetotelluric measurements of crustal structure at a potential old ice drilling site on the flank of Dome A, Antarctica", "url": "https://doi.org/10.7914/dmhj-4441"}], "date_created": "Sat, 21 May 2022 00:00:00 GMT", "description": "Cores drilled through the Antarctic ice sheet provide a remarkable window on the evolution of Earth\u2019s climate and unique samples of the ancient atmosphere. The clear link between greenhouse gases and climate revealed by ice cores underpins much of the scientific understanding of climate change. Unfortunately, the existing data do not extend far enough back in time to reveal key features of climates warmer than today. COLDEX, the Center for Oldest Ice Exploration, will solve this problem by exploring Antarctica for sites to collect the oldest possible record of past climate recorded in the ice sheet. COLDEX will provide critical information for understanding how Earth\u2019s near-future climate may evolve and why climate varies over geologic time. New technologies will be developed for exploration and analysis that will have a long legacy for future research. An archive of old ice will stimulate new research for the next generations of polar scientists. COLDEX programs will galvanize that next generation of polar researchers, bring new results to other scientific disciplines and the public, and help to create a more inclusive and diverse scientific community. Knowledge of Earth\u2019s climate history is grounded in the geologic record. This knowledge is gained by measuring chemical, biological and physical properties of geologic materials that reflect elements of climate. Ice cores retrieved from polar ice sheets play a central role in this science and provide the best evidence for a strong link between atmospheric carbon dioxide and climate on geologic timescales. The goal of COLDEX is to extend the ice-core record of past climate to at least 1.5 million years by drilling and analyzing a continuous ice core in East Antarctica, and to much older times using discontinuous ice sections at the base and margin of the ice sheet. COLDEX will develop and deploy novel radar and melt-probe tools to rapidly explore the ice, use ice-sheet models to constrain where old ice is preserved, conduct ice coring, develop new analytical systems, and produce novel paleoclimate records from locations across East Antarctica. The search for Earth\u2019s oldest ice also provides a compelling narrative for disseminating information about past and future climate change and polar science to students, teachers, the media, policy makers and the public. COLDEX will engage and incorporate these groups through targeted professional development workshops, undergraduate research experiences, a comprehensive communication program, annual scientific meetings, scholarships, and broad collaboration nationally and internationally. COLDEX will provide a focal point for efforts to increase diversity in polar science by providing field, laboratory, mentoring and networking experiences for students and early career scientists from groups underrepresented in STEM, and by continuous engagement of the entire COLDEX community in developing a more inclusive scientific culture. This award reflects NSF\u0027s statutory mission and has been deemed worthy of support through evaluation using the Foundation\u0027s intellectual merit and broader impacts review criteria.", "east": 180.0, "geometry": "POINT(0 -89.999)", "instruments": null, "is_usap_dc": true, "keywords": "USA/NSF; AMD; Antarctica; Amd/Us; Coldex; USAP-DC; FIELD SURVEYS; ICE DEPTH/THICKNESS", "locations": "Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Glaciology; Polar Special Initiatives", "paleo_time": null, "persons": "Brook, Edward J.; Epifanio, Jenna", "platforms": "LAND-BASED PLATFORMS \u003e FIELD SITES \u003e FIELD SURVEYS", "repo": "USAP-DC", "repositories": "FDSN; OPR; Texas Data Repository; UMN University Digital Conservancy; University Digital Conservancy; USAP-DC", "science_programs": "COLDEX", "south": -90.0, "title": "Center for Oldest Ice Exploration", "uid": "p0010321", "west": -180.0}, {"awards": "1744954 Lubin, Dan", "bounds_geometry": "POINT(-148.81 -81.65)", "dataset_titles": "Siple Dome Surface Energy Flux", "datasets": [{"dataset_uid": "601540", "doi": "10.15784/601540", "keywords": "Antarctica; Siple Dome; Spectroscopy", "people": "Ghiz, Madison; Lubin, Dan", "repository": "USAP-DC", "science_program": null, "title": "Siple Dome Surface Energy Flux", "url": "https://www.usap-dc.org/view/dataset/601540"}], "date_created": "Wed, 02 Feb 2022 00:00:00 GMT", "description": "Atmospheric warming has been a major factor in the loss of ice shelves on the Antarctic Peninsula. In West Antarctica, oceanic warming is presently regarded as the largest source of stress on both the ice-shelves and at the grounding lines of the ice sheets. The loss of ice shelf buttressing and grounding line retreat may have already induced irreversible loss of Thwaites Glacier. To advance predictive models more data is needed regarding both water-induced fracturing on an ice shelf and marine ice cliff instability near the grounding line. This project will help advance understanding of atmospheric circulation and solar radiation over West Antarctica and the Ross Ice Shelf that lead to surface melting. In support of this project, and incorporating Antarctic science from this work, UCSD educators will sponsor a workshop series for exemplary middle and/or high school science teachers designed to address this need. Teacher participants will be carefully selected for their demonstrated leadership skills and will eventually become part of an cadre of \"master\" science teachers who will serve as local leaders in disseminating strategies and tools for addressing the NGSS (Ca Next Gen. of Sci. Eng. Stds.) to teachers throughout the county. For the summer field seasons requested, UCSD scientists will deploy a suite instruments to measure downwelling and net shortwave and longwave fluxes, sensible and latent heat fluxes, and near-surface meteorology. This suite of instruments will be self-reliant with power requirements and will be supportable in the field with a single Twin Otter aircraft. The investigators plan to deploy this suite as a remote ice camp with a field party of 2-3 personnel, making measurements for at up to one month during each of the sampled summer field seasons. These measurements will be analyzed and interpreted to determine mesoscale conditions that govern surface melt in West Antarctica, in the context of improving coupled climate model parameterizations. This award reflects NSF\u0027s statutory mission and has been deemed worthy of support through evaluation using the Foundation\u0027s intellectual merit and broader impacts review criteria.", "east": -148.81, "geometry": "POINT(-148.81 -81.65)", "instruments": null, "is_usap_dc": true, "keywords": "ICE SHEETS; Siple Dome; USAP-DC; ATMOSPHERIC RADIATION; AMD; FIELD SURVEYS; Amd/Us; USA/NSF", "locations": "Siple Dome", "north": -81.65, "nsf_funding_programs": "Antarctic Ocean and Atmospheric Sciences", "paleo_time": null, "persons": "Lubin, Dan", "platforms": "LAND-BASED PLATFORMS \u003e FIELD SITES \u003e FIELD SURVEYS", "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -81.65, "title": "Surface Energy Balance on West Antarctica and the Ross Ice Shelf", "uid": "p0010296", "west": -148.81}, {"awards": "1847067 Levy, Joseph", "bounds_geometry": "POLYGON((161 -76,161.35 -76,161.7 -76,162.05 -76,162.4 -76,162.75 -76,163.1 -76,163.45 -76,163.8 -76,164.15 -76,164.5 -76,164.5 -76.2,164.5 -76.4,164.5 -76.6,164.5 -76.8,164.5 -77,164.5 -77.2,164.5 -77.4,164.5 -77.6,164.5 -77.8,164.5 -78,164.15 -78,163.8 -78,163.45 -78,163.1 -78,162.75 -78,162.4 -78,162.05 -78,161.7 -78,161.35 -78,161 -78,161 -77.8,161 -77.6,161 -77.4,161 -77.2,161 -77,161 -76.8,161 -76.6,161 -76.4,161 -76.2,161 -76))", "dataset_titles": "Active Layer Soil Temperature, Soil Moisture, and Electrical Conductivity from Water Tracks in the McMurdo Dry Valleys; Biogeochemical measurements of water tracks and adjacent dry soils from the McMurdo Dry Valleys; Soil aluminum concentrations from Taylor Valley, Antarctica; Surface Water Geochemistry from the McMurdo Dry Valleys", "datasets": [{"dataset_uid": "602028", "doi": "10.15784/602028", "keywords": "active layer; Antarctica; Conductivity; Cryosphere; Dry Permafrost; Dry Valleys; Glaciology; Hydrology; Permafrost; Soil; Temperature", "people": "Levy, Joseph", "repository": "USAP-DC", "science_program": null, "title": "Active Layer Soil Temperature, Soil Moisture, and Electrical Conductivity from Water Tracks in the McMurdo Dry Valleys", "url": "https://www.usap-dc.org/view/dataset/602028"}, {"dataset_uid": "601703", "doi": "10.15784/601703", "keywords": "Antarctica; Dry Valleys", "people": "Levy, Joseph", "repository": "USAP-DC", "science_program": null, "title": "Surface Water Geochemistry from the McMurdo Dry Valleys", "url": "https://www.usap-dc.org/view/dataset/601703"}, {"dataset_uid": "601946", "doi": "10.15784/601946", "keywords": "Antarctica; Chemistry:soil; Chemistry:Soil; Cryosphere; Dry Valleys; Soil; Soil Moisture", "people": "Levy, Joseph", "repository": "USAP-DC", "science_program": null, "title": "Soil aluminum concentrations from Taylor Valley, Antarctica", "url": "https://www.usap-dc.org/view/dataset/601946"}, {"dataset_uid": "601684", "doi": "10.15784/601684", "keywords": "Antarctica; Cation Exchange; Chemistry:soil; Chemistry:Soil; Dry Valleys; Organic Matter; Salt; Soil", "people": "Levy, Joseph", "repository": "USAP-DC", "science_program": null, "title": "Biogeochemical measurements of water tracks and adjacent dry soils from the McMurdo Dry Valleys", "url": "https://www.usap-dc.org/view/dataset/601684"}], "date_created": "Fri, 24 Dec 2021 00:00:00 GMT", "description": "Antarctic groundwater drives the regional carbon cycle and can accelerate permafrost thaw shaping Antarctic surface features. However, groundwater extent, flow, and processes on a continent virtually locked in ice are poorly understood. The proposed work investigates the interplay between groundwater, sediment, and ice in Antarctica\u0027s cold desert landscape to determine when, where, and why Antarctic groundwater is flowing, and how it may evolve Antarctic frozen deserts from dry and stable to wet and dynamic. Mapping the changing extent of Antarctic near-surface groundwater requires the ability to measure soil moisture rapidly and repeatedly over large areas. The research will capture changes in near-surface groundwater distribution through an unmanned aerial vehicle (UAV) mapping approach. The project integrates a diverse range of sensors with new UAV technologies to provide a higher-resolution and more frequent assessment of Antarctic groundwater extent and composition than can be accomplished using satellite observations alone. To complement the research objectives, the PI will develop a new UAV summer field school, the Geosciences UAV Academy, focused on training undergraduate-level UAV pilots in conducting novel earth sciences research using cutting edge imaging tools. The integration of research and technology will prepare students for careers in UAV-related industries and research. The project will deliver new UAV tools and workflows for soil moisture mapping relevant to arid regions including Antarctica as well as temperate desert and dryland systems and will train student research pilots to tackle next generation airborne challenges. Water tracks are the basic hydrological unit that currently feeds the rapidly-changing permafrost and wetlands in the Antarctic McMurdo Dry Valleys (MDV). Despite the importance of water tracks in the MDV hydrologic cycle and their influence on biogeochemistry, little is known about how these water tracks control the unique brine processes operating in Antarctic ice-free areas. Both groundwater availability and geochemistry shape Antarctic microbial communities, connecting soil geology and hydrology to carbon cycling and ecosystem functioning. The objectives of this CAREER proposal are to 1) map water tracks to determine the spatial distribution and seasonal magnitude of groundwater impacts on the MDV near-surface environment to determine how near-surface groundwater drives permafrost thaw and enhances chemical weathering and biogeochemical cycling; 2) establish a UAV academy training earth sciences students to answer geoscience questions using drone-based platforms and remote sensing techniques; and 3) provide a formative step in the development of the PI as a teacher-scholar. UAV-borne hyperspectral imaging complemented with field soil sampling will determine the aerial extent and timing of inundation, water level, and water budget of representative water tracks in the MDV. Soil moisture will be measured via near-infrared reflectance spectroscopy while bulk chemistry of soils and groundwater will be analyzed via ion chromatography and soil x-ray fluorescence. Sedimentological and hydrological properties will be determined via analysis of intact core samples. These data will be used to test competing hypotheses regarding the origin of water track solutions and water movement through seasonal wetlands. The work will provide a regional understanding of groundwater sources, shallow groundwater flux, and the influence of regional hydrogeology on solute export to the Southern Ocean and on soil/atmosphere linkages in earth\u0027s carbon budget. The UAV school will 1) provide comprehensive instruction at the undergraduate level in both how and why UAVs can advance geoscience research and learning; and 2) provide educational infrastructure for an eventual self-sustaining summer program for undergraduate UAV education. This award reflects NSF\u0027s statutory mission and has been deemed worthy of support through evaluation using the Foundation\u0027s intellectual merit and broader impacts review criteria.", "east": 164.5, "geometry": "POINT(162.75 -77)", "instruments": null, "is_usap_dc": true, "keywords": "FIELD SURVEYS; Amd/Us; USA/NSF; AMD; USAP-DC; FROZEN GROUND; Taylor Valley", "locations": "Taylor Valley", "north": -76.0, "nsf_funding_programs": "Antarctic Earth Sciences", "paleo_time": null, "persons": "Levy, Joseph", "platforms": "LAND-BASED PLATFORMS \u003e FIELD SITES \u003e FIELD SURVEYS", "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -78.0, "title": "Linking Antarctic Cold Desert Groundwater to Thermokarst \u0026 Chemical Weathering in Partnership with the Geoscience UAV Academy", "uid": "p0010286", "west": 161.0}, {"awards": "1744785 Barrett, John", "bounds_geometry": "POLYGON((-180 -77.62,-145.683 -77.62,-111.366 -77.62,-77.049 -77.62,-42.732 -77.62,-8.415 -77.62,25.902 -77.62,60.219 -77.62,94.536 -77.62,128.853 -77.62,163.17 -77.62,163.17 -77.618,163.17 -77.616,163.17 -77.614,163.17 -77.612,163.17 -77.61,163.17 -77.608,163.17 -77.606,163.17 -77.604,163.17 -77.602,163.17 -77.6,128.853 -77.6,94.536 -77.6,60.219 -77.6,25.902 -77.6,-8.415 -77.6,-42.732 -77.6,-77.049 -77.6,-111.366 -77.6,-145.683 -77.6,180 -77.6,178.319 -77.6,176.638 -77.6,174.957 -77.6,173.276 -77.6,171.595 -77.6,169.914 -77.6,168.233 -77.6,166.552 -77.6,164.871 -77.6,163.19 -77.6,163.19 -77.602,163.19 -77.604,163.19 -77.606,163.19 -77.608,163.19 -77.61,163.19 -77.612,163.19 -77.614,163.19 -77.616,163.19 -77.618,163.19 -77.62,164.871 -77.62,166.552 -77.62,168.233 -77.62,169.914 -77.62,171.595 -77.62,173.276 -77.62,174.957 -77.62,176.638 -77.62,178.319 -77.62,-180 -77.62))", "dataset_titles": "McMurdo Dry Valleys LTER: Microbial mat biomass and Normalized Difference Vegetation Index (NDVI) values from Lake Fryxell Basin, Antarctica", "datasets": [{"dataset_uid": "200260", "doi": "doi:10.6073/pasta/9acbbde9abc1e013f8c9fd9c383327f4", "keywords": null, "people": null, "repository": "EDI", "science_program": null, "title": "McMurdo Dry Valleys LTER: Microbial mat biomass and Normalized Difference Vegetation Index (NDVI) values from Lake Fryxell Basin, Antarctica", "url": "https://doi.org/10.6073/pasta/9acbbde9abc1e013f8c9fd9c383327f4"}], "date_created": "Tue, 30 Nov 2021 00:00:00 GMT", "description": "Microbial mats are found throughout the McMurdo Dry Valleys where summer snowmelt provides liquid water that allows these mats to flourish. Researchers have long studied the environmental conditions microbial mats need to grow. Despite these efforts, it has been difficult to develop a broad picture of these unique ecosystems. Recent advances in satellite technology now provide researchers an exciting new tool to study these special Antarctic ecosystems from space using the unique spectral signatures associated with microbial mats. This new technology not only offers the promise that microbial mats can be mapped and studied from space, this research will also help protect these delicate environments from potentially harmful human impacts that can occur when studying them from the ground. This project will use satellite imagery and spectroscopic techniques to identify and map microbial mat communities and relate their properties and distributions to both field and lab-based measurements. This research provides an exciting new tool to help document and understand the distribution of a major component of the Antarctic ecosystem in the McMurdo Dry Valleys. The goal of this project is to establish quantitative relationships between spectral signatures derived from orbit and the physiological status and biogeochemical properties of microbial mat communities in Taylor Valley, Antarctica, as measured by field and laboratory analyses on collected samples. The goal wioll be met by (1) refining atmospheric correction techniques using in situ radiometric rectification to derive accurate surface spectra; (2) collecting multispectral orbital images concurrent with in situ sampling and spectral measurements in the field to ensure temporal comparability; (3) measuring sediment, water, and microbial mat samples for organic and inorganic carbon content, essential biogeochemical nutrients, and chlorophyll-a to determine relevant mat characteristics; and (4) quantitatively associating these laboratory-derived characteristics with field-derived and orbital spectral signatures and parameters. The result of this work will be a more robust quantitative link between the distribution of microbial mat communities and their biogeochemical properties to landscape-scale spectral signatures. This award reflects NSF\u0027s statutory mission and has been deemed worthy of support through evaluation using the Foundation\u0027s intellectual merit and broader impacts review criteria.", "east": 163.19, "geometry": "POINT(-16.82 -77.61)", "instruments": null, "is_usap_dc": true, "keywords": "AMD; ECOSYSTEM FUNCTIONS; FIELD SURVEYS; USAP-DC; USA/NSF; Taylor Valley; Amd/Us", "locations": "Taylor Valley", "north": -77.6, "nsf_funding_programs": "Antarctic Organisms and Ecosystems", "paleo_time": null, "persons": "Barrett, John; Salvatore, Mark", "platforms": "LAND-BASED PLATFORMS \u003e FIELD SITES \u003e FIELD SURVEYS", "repo": "EDI", "repositories": "EDI", "science_programs": null, "south": -77.62, "title": "Collaborative Research: Remote characterization of microbial mats in Taylor Valley, Antarctica through in situ sampling and spectral validation", "uid": "p0010281", "west": 163.17}, {"awards": "2136938 Tedesco, Marco; 2136939 Cervone, Guido; 2136940 Newman, Dava", "bounds_geometry": "POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))", "dataset_titles": "Surface melt-related multi-source remote-sensing and climate model data over Helheim Glacier, Greenland for segmentation and machine learning applications; Surface melt-related multi-source remote-sensing and climate model data over Larsen C Ice Shelf, Antarctica for segmentation and machine learning applications", "datasets": [{"dataset_uid": "601841", "doi": "10.15784/601841", "keywords": "Antarctica; Climate Modeling; Cryosphere; Downscaling; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Greenland; Ice Sheet; Machine Learning; MAR; Remote Sensing; Sea Level Rise; Snow/ice; Snow/Ice; Surface Melt", "people": "Alexander, Patrick; L\u00fctjens, Bj\u00f6rn; Tedesco, Marco; Antwerpen, Raphael; Cervone, Guido; Fettweis, Xavier", "repository": "USAP-DC", "science_program": null, "title": "Surface melt-related multi-source remote-sensing and climate model data over Helheim Glacier, Greenland for segmentation and machine learning applications", "url": "https://www.usap-dc.org/view/dataset/601841"}, {"dataset_uid": "601842", "doi": "10.15784/601842", "keywords": "Antarctica; Climate Modeling; Cryosphere; Downscaling; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Ice Shelf; Larsen C Ice Shelf; Machine Learning; MAR; Remote Sensing; Sea Level Rise; Snow/ice; Snow/Ice; Surface Melt", "people": "Antwerpen, Raphael; Fettweis, Xavier; L\u00fctjens, Bj\u00f6rn; Cervone, Guido; Tedesco, Marco; Alexander, Patrick", "repository": "USAP-DC", "science_program": null, "title": "Surface melt-related multi-source remote-sensing and climate model data over Larsen C Ice Shelf, Antarctica for segmentation and machine learning applications", "url": "https://www.usap-dc.org/view/dataset/601842"}], "date_created": "Mon, 08 Nov 2021 00:00:00 GMT", "description": "This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2). Climate change is promoting increased melting in Greenland and Antarctica, contributing to the global sea level rise. Understanding what drives the increase and the amount of meltwater from the ice sheets is paramount to improve our skills to project future sea level rise and associated consequences. Melting in Antarctica mostly occurs along ice shelves (tongues of ice floating in the water). They do not contribute directly to sea level when they melt but their disappearance allows the glaciers at the top to flow faster towards the ocean, increasing the contribution of Antarctica to sea level rise. Satellite data can only offer a partial view of what is happening, either because of limited coverage or because of the presence of clouds, which often obstruct the view in this part of the world. Models, on the other hand, can provide estimates but the spatial detail they can provide is still limited by many factors. This project will use artificial intelligence to overcome these problems and to merge satellite data and model outputs to generate daily maps of surface melting with unprecedented detail. These techniques are similar to those used in cell phones to sharpen images or to create landscapes that look \u201creal\u201d but are only existing in the \u201ccomputer world,\u201d but they have never been applied to melting in Antarctica for improving estimates of sea level rise. Meltwater in Antarctica has been shown to impact ice shelf stability through the fracturing and flexural processes. Image scarcity has often forced the community to use general climate and regional climate models to explore hydrological features. Notwithstanding models having been considerably refined over the past years, they still require improvements in capturing the processes driving the energy balance and, most importantly, the feedback among the drivers and the energy balance terms that drive the hydrological processes. Moreover, spatial resolution is still too coarse to properly capture hydrological processes, especially over ice shelves. Machine learning (ML) tools can help in this regard, especially when it is computationally infeasible to run physics-based models at desired resolutions in space and time, like in the case of ice shelf surface hydrology. This project will train Generative Adversarial Networks (GANs) with the outputs of a regional climate model and remote sensing data to generate unprecedented, high-resolution (100 m) maps of surface melting. Beside improving the spatial resolution, and hence providing a long-needed and crucial dataset to the polar community, the tool here proposed will be able to provide satellite-like maps on a daily basis, hence addressing also those issues related to the lack of spatial coverage. This award reflects NSF\u0027s statutory mission and has been deemed worthy of support through evaluation using the Foundation\u0027s intellectual merit and broader impacts review criteria.", "east": 180.0, "geometry": "POINT(0 -89.999)", "instruments": null, "is_usap_dc": true, "keywords": "MODELS; Amd/Us; AMD; USA/NSF; GLACIER MASS BALANCE/ICE SHEET MASS BALANCE; USAP-DC; Antarctica", "locations": "Antarctica", "north": -60.0, "nsf_funding_programs": "Polar Cyberinfrastructure; Polar Cyberinfrastructure; Polar Cyberinfrastructure", "paleo_time": null, "persons": "Tedesco, Marco", "platforms": "OTHER \u003e MODELS \u003e MODELS", "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -90.0, "title": "Collaborative Research: EAGER: Generation of high resolution surface melting maps over Antarctica using regional climate models, remote sensing and machine learning", "uid": "p0010277", "west": -180.0}, {"awards": "2046240 Khan, Alia", "bounds_geometry": "POLYGON((-75 -62,-73.5 -62,-72 -62,-70.5 -62,-69 -62,-67.5 -62,-66 -62,-64.5 -62,-63 -62,-61.5 -62,-60 -62,-60 -62.85,-60 -63.7,-60 -64.55,-60 -65.4,-60 -66.25,-60 -67.1,-60 -67.95,-60 -68.8,-60 -69.65,-60 -70.5,-61.5 -70.5,-63 -70.5,-64.5 -70.5,-66 -70.5,-67.5 -70.5,-69 -70.5,-70.5 -70.5,-72 -70.5,-73.5 -70.5,-75 -70.5,-75 -69.65,-75 -68.8,-75 -67.95,-75 -67.1,-75 -66.25,-75 -65.4,-75 -64.55,-75 -63.7,-75 -62.85,-75 -62))", "dataset_titles": null, "datasets": null, "date_created": "Fri, 10 Sep 2021 00:00:00 GMT", "description": "________________________________________________________________________________________________ Part I: Non-technical Summary The Antarctic Peninsula is one of the most rapidly warming regions on the planet. This 5-yr time-series program will build on an ongoing international collaboration with scientists from the Chilean Antarctic Program to evaluate the role of temperature, light absorbing particles, snow-algae growth, and their radiative forcing effects on snow and ice melt in the Western Antarctic Peninsula. There is strong evidence that these effects may be intensifying due to a warming climate. Rising temperatures can increase the growth rate of coastal snow algae as well as enhance the input of particles from sources such as the long-range transport of black carbon to the Antarctic continent from intensifying Southern Hemisphere wildfire seasons. Particle and algae feedbacks can have immediate local impacts on snow melt and long-term regional impacts on climate because reduced snow cover alters how the Antarctic continent interacts with the rest of the global climate. A variety of ground-based and remote sensing data collected across multiple spatial scales will be used. Ground measurements will be compared to satellite imagery to develop novel computer algorithms to map ice algal bloom effects under changing climates. The project is expected to fundamentally advance knowledge of the spatial and temporal snow algae growing season, which is needed to quantify impacts on regional snow and ice melt. The program also has a strong partnership with the International Association of Antarctic Tour Operators to involve cruise passengers as citizen scientists for sample collection. Antarctic research results will be integrated into undergraduate curricula and research opportunities through studies to LAPs and snow algae in the Pacific Northwest. The PI will recruit and train a diverse pool of students in cryosphere climate related research methods on Mt. Baker in Western Washington. Trained undergraduate will then serve as instructors for a local Snow School that takes middle school students to Mt. Baker to learn about snow science. Resulting datasets from Antarctica and Mt. Baker will be used in University classes to explore regional effects of climate change. Along with enhancing cryosphere-oriented place-based undergraduate field courses in the Pacific Northwest, the PI will recruit and train a diverse pool of undergraduate students to serve as instructors for the Mt. Baker Snow School program. This award will advance our understanding of cryosphere-climate feedbacks, which are likely changing and will continue to evolve in a warming world, while also increasing under-represented student engagement in the polar geosciences. Part 2: Technical Summary Rapid and persistent climate warming in the Western Antarctic Peninsula is likely resulting in intensified snow-algae growth and an extended bloom season in coastal areas. Similarly, deposition of light absorbing particles (LAPs) onto Antarctica cryosphere surfaces, such as black carbon from intensifying Southern Hemisphere wildfire seasons, and dust from the expansion of ice-free regions in the Antarctic Peninsula, may be increasing. The presence of snow algae blooms and LAPs enhance the absorption of solar radiation by snow and ice surfaces. This positive feedback creates a measurable radiative forcing, which can have immediate local and long-term regional impacts on albedo, snow melt and downstream ecosystems. This project will investigate the spatial and temporal distribution of snow algae, black carbon and dust across the Western Antarctica Peninsula region, their response to climate warming, and their role in regional snow and ice melt. Data will be collected across multiple spatial scales from in situ field measurements and sample collection to imagery from ground-based photos and high resolution multi-spectral satellite sensors. Ground measurements will inform development and application of novel algorithms to map algal bloom extent through time using 0.5-3m spatial resolution multi-spectral satellite imagery. Results will be used to improve snow algae parameterization in a new version of the Snow Ice Aerosol Radiation model (SNICARv3) that includes bio-albedo feedbacks, eventually informing models of ice-free area expansion through incorporation of SNICARv3 in the Community Earth System Model. Citizen scientists will be mentored and engaged in the research through an active partnership with the International Association of Antarctic Tour Operators that frequently visits the region. The cruise ship association will facilitate sampling to develop a unique snow algae observing network to validate remote sensing algorithms that map snow algae with high-resolution multi-spectral satellite imagery from space. These time-series will inform instantaneous and interannual radiative forcing calculations to assess impacts of snow algae and LAPs on regional snow melt. Quantifying the spatio-temporal growing season of snow algae and impacts from black carbon and dust will increase our ability to model their impact on snow melt, regional climate warming and ice-free expansion in the Antarctic Peninsula region. This award reflects NSF\u0027s statutory mission and has been deemed worthy of support through evaluation using the Foundation\u0027s intellectual merit and broader impacts review criteria.", "east": -60.0, "geometry": "POINT(-67.5 -66.25)", "instruments": null, "is_usap_dc": true, "keywords": "FIELD SURVEYS; Antarctic Peninsula; Amd/Us; AMD; SNOW/ICE CHEMISTRY; USA/NSF; USAP-DC; SNOW", "locations": "Antarctic Peninsula", "north": -62.0, "nsf_funding_programs": "Antarctic Organisms and Ecosystems", "paleo_time": null, "persons": "Khan, Alia", "platforms": "LAND-BASED PLATFORMS \u003e FIELD SITES \u003e FIELD SURVEYS", "repositories": null, "science_programs": null, "south": -70.5, "title": "CAREER: Coastal Antarctic Snow Algae and Light Absorbing Particles: Snowmelt, Climate and Ecosystem Impacts", "uid": "p0010263", "west": -75.0}, {"awards": "2000992 Romans, Brian", "bounds_geometry": "POINT(-172.873074 -74.274008)", "dataset_titles": "Grain size of Plio-Pleistocene continental slope and rise sediments, Hillary Canyon, Ross Sea", "datasets": [{"dataset_uid": "601807", "doi": "10.15784/601807", "keywords": "Antarctica; Cryosphere; Grain Size; Ross Sea", "people": "Romans, Brian W.; Varela, Natalia", "repository": "USAP-DC", "science_program": null, "title": "Grain size of Plio-Pleistocene continental slope and rise sediments, Hillary Canyon, Ross Sea", "url": "https://www.usap-dc.org/view/dataset/601807"}], "date_created": "Tue, 06 Jul 2021 00:00:00 GMT", "description": "Part I: Non-technical description: Predicting how polar ice sheets will respond to future global warming is difficult because all the processes that contribute to their melting are not well understood. This is important because the more ice on land that melts, the higher sea levels will rise. The most significant uncertainty in current estimates of sea-level rise in the coming decades is the potential contribution from the Antarctic Ice Sheet. One way to increase our knowledge about how large ice sheets respond to climate change in response to natural factors is to examine the geologic past. Natural global warming (and cooling) events in Earth\u2019s history provide examples that we can use to better understand processes, interactions, and responses we can\u2019t directly observe today. One such time period, approximately three million years ago (known as the Pliocene), was the last time atmospheric carbon dioxide levels were as high as they are today and, therefore, represents a time period to study to better understand the ice sheet response to a warming climate. Specifically, this project is interested in understanding how ocean currents near Antarctica, which transport heat and store carbon, behaved during these past climate events. The history of past ice sheet-ocean interactions are recorded in sediments that were deposited, layer upon layer, in the deep sea offshore Antarctica. In January-February 2018, a team of scientists and crew set sail to the Ross Sea, offshore west Antarctica, on the scientific ocean drilling vessel JOIDES Resolution to recover such sediment archives. This project focuses on a sediment core from that expedition, which captures the relatively warm Pliocene time interval, as well as the subsequent transition into cooler climates typical of the past two million years. The researchers will analyze the sediment with multiple complementary measurements, including: grain size, composition, chemistry of organic matter, physical structures, microfossil type and abundance, and more. These analyses will be done by the research team, including several students, at their respective laboratories and will then integrated into a unified record of ice sheet-ocean interactions. Ultimately, the results will be used to improve modeled projections of how the Antarctic Ice Sheet could respond to future climate change. Part II: Technical description: Geological records from the Antarctic Ice Sheet (AIS) margin demonstrate that the ice sheet oscillated in response to orbital variations in insolation (i.e., ~400, 100, 41, and 20 kyr), and it appears to be more sensitive to specific frequencies that regulate mean annual insolation (i.e., 41-kyr obliquity), particularly when the ice sheet extends into marine environments and is impacted by ocean circulation. However, the relationship between orbital forcing and the production of Antarctic Bottom Water (AABW) is unconstrained. Thus, a knowledge gap exists in understanding how changing insolation impacts ice marginal and Southern Ocean conditions that directly influence ventilation of the global ocean. The researchers hypothesize that insolation-driven changes directly affected the production and export of AABW to the Southern Ocean from the Pliocene through the Pleistocene. For example, obliquity amplification during the warmer Pliocene may have led to enhanced production and export of dense waters from the shelf due to reduced AIS extent, which, in turn, led to greater AABW outflow. To determine the relationship of AABW production to orbital regime, they plan to reconstruct both from a single, continuous record from the levee of Hillary Canyon, a major conduit of AABW outflow, on the Ross Sea continental rise. To test their hypothesis, they will analyze sediment from IODP Site U1524 (recovered in 2018 during International Ocean Discovery Program Expedition 374) and focus on three data sets. (1) They will use the occurrence, frequency, and character of mm-scale turbidite beds as a proxy of dense-shelf-water cascading outflow and AABW production. They will estimate the down-slope flux via numerical modeling of turbidity current properties using morphology, grain size, and bed thickness as input parameters. (2) They will use grain-size data, physical properties, XRF core scanning, CT imaging, and hyperspectral imaging to guide lithofacies analysis to infer processes occurring during glacial, deglacial, and interglacial periods. Statistical techniques and optimization methods will be applied to test for astronomical forcing of sedimentary packages in order to provide a cyclostratigraphic framework and interpret the orbital-forcing regime. (3) They will use bulk sedimentary carbon and nitrogen abundance and isotope data to determine how relative contributions of terrigenous and marine organic matter change in response to orbital forcing. All of these data will be integrated with sedimentological records to deconvolve organic matter production from its deposition or remobilization due to AABW outflow as a function of the oscillating extent of the AIS. These data sets will be integrated into a unified chronostratigraphy to determine the relationship between AABW outflow and orbital-forcing scenarios under the varying climate regimes of the Plio-Pleistocene. This award reflects NSF\u0027s statutory mission and has been deemed worthy of support through evaluation using the Foundation\u0027s intellectual merit and broader impacts review criteria.", "east": -172.873074, "geometry": "POINT(-172.873074 -74.274008)", "instruments": null, "is_usap_dc": true, "keywords": "USAP-DC; LABORATORY; AMD; USA/NSF; SEDIMENTS; Amd/Us; Ross Sea", "locations": "Ross Sea", "north": -74.274008, "nsf_funding_programs": "Antarctic Earth Sciences", "paleo_time": null, "persons": "Patterson, Molly; Ash, Jeanine; Kulhanek, Denise; Ash, Jeannie", "platforms": "OTHER \u003e PHYSICAL MODELS \u003e LABORATORY", "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -74.274008, "title": "COLLABORATIVE RESEARCH: Orbital-scale Variability of the West Antarctic Ice Sheet and the Formation of Bottom Water in the Ross Sea during the Pliocene-Pleistocene", "uid": "p0010227", "west": -172.873074}, {"awards": "1840941 Murphy, David; 1840949 Fields, David; 1840927 Weissburg, Marc", "bounds_geometry": null, "dataset_titles": "; Krill Morphometric Data", "datasets": [{"dataset_uid": "200473", "doi": "", "keywords": null, "people": null, "repository": "BCO-DMO", "science_program": null, "title": "", "url": "https://www.bco-dmo.org/project/898124"}, {"dataset_uid": "602064", "doi": null, "keywords": "Antarctic Krill; Cryosphere; Palmer Station", "people": "Fields, David", "repository": "USAP-DC", "science_program": null, "title": "Krill Morphometric Data", "url": "https://www.usap-dc.org/view/dataset/602064"}], "date_created": "Fri, 25 Jun 2021 00:00:00 GMT", "description": "Antarctic krill (Euphausia superba) are an ecologically important component of the Southern Ocean\u0027s food web, yet little is known about their behavior in response to many features of their aquatic environment. This project will improve understanding of krill swimming and schooling behavior by examining individual responses to light levels, water flow rates, the presence of attractive and repulsive chemical cues. Flow, light and chemical conditions will be controlled and altered in specialized tanks outfitted with high speed digital camera systems so that individual krill responses to these factors can be measured in relevant schooling settings. This analysis will be used to predict preferred environments, define the capacity of krill to detect and move to them (and away from unfavorable ones). Such information will then be used to improve models that estimate the energetic costs of behaviors associated with different types of environments. Linking individual behavior to those of larger krill aggregations will also improve acoustic assessments of krill densities. Understanding the capacity of krill to respond to environmental perturbations will improve our understanding of the ecology of high latitude ecosystems and provide relevant information for the management of krill fisheries. The project will support graduate and undergraduate students and provide training for as post-doctoral associate. Curricular materials and public engagement activities will be based on the project\u0027s aims and activities. Project investigators will share model results and predictions of krill movements and school structure with experts interested in krill conservation and management. The project will use horizontal and vertical laminar flow tunnels to examine krill behavior under naturally relevant conditions. Horizontal (1-10 cm per second) and vertical (1-3 mm per second) flow velocities mimic naturally relevant current patterns, while light levels and spectral quality will be varied from complete darkness to intensities experienced across the depth range inhabited by krill. Attractive phytoplankton odor will be created by dosing the flumes to obtain background chlorophyll a levels approximating average and bloom conditions, while repulsive cues will be generated from penguin guano. Behavior of individual krill in all conditions will be video recorded with cameras visualizing X-Y and Y-Z planes, and 3D movements will be reconstructed by video motion analysis at a 5 Hz sampling rate. The distribution of horizontal and vertical swimming angles and velocities will be used to create an individual based model (IBM) of krill movement in response to each condition, where krill behavior at each model time step is based on random draws from the velocity and angular distributions. Since krill commonly travel in groups, further experiments will examine the behavior of small krill schools in these same conditions to further parameterize variables such as individual spacing. Researchers will examine krill aggregation structure from 3D video records of krill swimming in a specially designed kriesel tank, and compute nearest neighbor distances (NND) and correlations of swimming angles among individuals within the aggregation. Krill movements in the IBM will be constrained to adhere to observed NND and angular correlations. Large scale oceanographic models will be used to define spatial environments in which the modelled krill will be allowed to move using simulated schools of 1000-100,000 krill. Model output will include the school swimming speed, direction and structure (packing density, NND). Researchers will compare available acoustic data sets of krill schools in measured flow and phytoplankton abundance to evaluate the model predictions. This award reflects NSF\u0027s statutory mission and has been deemed worthy of support through evaluation using the Foundation\u0027s intellectual merit and broader impacts review criteria.", "east": null, "geometry": null, "instruments": null, "is_usap_dc": true, "keywords": "ANIMAL ECOLOGY AND BEHAVIOR; AMD; FIELD INVESTIGATION; Amd/Us; USAP-DC; Palmer Station; USA/NSF", "locations": "Palmer Station", "north": null, "nsf_funding_programs": "Antarctic Integrated System Science; Antarctic Organisms and Ecosystems; Antarctic Organisms and Ecosystems; Antarctic Organisms and Ecosystems", "paleo_time": null, "persons": "Record, Nicholas ; Weissburg, Marc; Murphy, David; Fields, David", "platforms": "LAND-BASED PLATFORMS \u003e FIELD SITES \u003e FIELD INVESTIGATION", "repo": "BCO-DMO", "repositories": "BCO-DMO; USAP-DC", "science_programs": null, "south": null, "title": "Collaborative Research: Individual Based Approaches to Understanding Krill Distributions and Aggregations", "uid": "p0010202", "west": null}, {"awards": "1738989 Venturelli, Ryan; 2317097 Venturelli, Ryan", "bounds_geometry": "POLYGON((-114 -74,-112.2 -74,-110.4 -74,-108.6 -74,-106.8 -74,-105 -74,-103.2 -74,-101.4 -74,-99.6 -74,-97.8 -74,-96 -74,-96 -74.2,-96 -74.4,-96 -74.6,-96 -74.8,-96 -75,-96 -75.2,-96 -75.4,-96 -75.6,-96 -75.8,-96 -76,-97.8 -76,-99.6 -76,-101.4 -76,-103.2 -76,-105 -76,-106.8 -76,-108.6 -76,-110.4 -76,-112.2 -76,-114 -76,-114 -75.8,-114 -75.6,-114 -75.4,-114 -75.2,-114 -75,-114 -74.8,-114 -74.6,-114 -74.4,-114 -74.2,-114 -74))", "dataset_titles": "200 MHz ground-penetrating radar from Winkie Nunatak, West Antarctica; Beryllium-10 exposure ages for Pope Glacier from a scoria cone 1.5 km west of Mount Murphy in the Amundsen Sea Embayment; Cosmogenic 10Be data and calculated surface exposure ages for 41 cobbles and boulders collected from nunataks adjacent to Larter and Lucchitta glaciers in the Hudson Mountains, West Antarctica; Cosmogenic Be-10 and Al-26 data and calculated surface exposure ages for cobbles collected from a moraine adjacent to Mount Murphy, West Antarctica; Cosmogenic Be-10 data and calculated surface exposure ages from nunataks adjacent to Pine Island Glacier in the Hudson Mountains, West Antarctica; Cosmogenic in situ 14C data and calculated surface exposure ages for 9 erratic cobbles collected from Mount Murphy, West Antarctica; Cosmogenic-Nuclide data at ICE-D; Firn and Ice Density at Winkie Nunatak; Geochronological data from the Hudson Mountains, Antarctica; Geomorphological measurements and lithological classifications of 90 erratic cobbles from the Hudson Mountains, West Antarctica; Ground-penetrating radar surveys at three nunataks in the Hudson Mountains in the Amundsen Sea sector of West Antarctica, December 2019; Ice-penetrating radar data from the northern embayment of the Mt. Murphy massif; Ice-penetrating radar data from the Thwaites Glacier grounding zone; In situ 14C data from a subglacial bedrock core near Pope and Thwaites glaciers; Laboratory spectral reflectance measurements at VNIR-SWIR wavelengths of 17 rock samples from Mount Murphy, West Antarctica; NBP1902 Expedition data; Orientations of bedrock striations in the Hudson Mountains, West Antarctica; Pine Island Bay Relative Sea-Level Data", "datasets": [{"dataset_uid": "601860", "doi": "10.15784/601860", "keywords": "Antarctica; Cryosphere; Grounding Zone; Ice Penetrating Radar; Thwaites Glacier", "people": "Balco, Gregory; Campbell, Seth; Goehring, Brent", "repository": "USAP-DC", "science_program": "Thwaites (ITGC)", "title": "Ice-penetrating radar data from the Thwaites Glacier grounding zone", "url": "https://www.usap-dc.org/view/dataset/601860"}, {"dataset_uid": "200483", "doi": "10.5285/de4a62bc-9c01-4aa3-9fd8-c64d706cfc13", "keywords": null, "people": null, "repository": "NERC EDS UK Polar Data Center", "science_program": null, "title": "Cosmogenic 10Be data and calculated surface exposure ages for 41 cobbles and boulders collected from nunataks adjacent to Larter and Lucchitta glaciers in the Hudson Mountains, West Antarctica", "url": "https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/02025"}, {"dataset_uid": "200484", "doi": "10.5285/8f999423-ff40-4181-bdf3-964a7e145772", "keywords": null, "people": null, "repository": "NERC EDS UK Polar Data Center", "science_program": null, "title": "Geochronological data from the Hudson Mountains, Antarctica", "url": "https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/02044"}, {"dataset_uid": "200485", "doi": "10.5285/fcd80bf1-bd69-4054-826c-a4727af8096a", "keywords": null, "people": null, "repository": "NERC EDS UK Polar Data Center", "science_program": null, "title": "Laboratory spectral reflectance measurements at VNIR-SWIR wavelengths of 17 rock samples from Mount Murphy, West Antarctica", "url": "https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01918"}, {"dataset_uid": "200486", "doi": "10.5285/dbb30962-bbf3-434a-9f27-6de2f61a86e2", "keywords": null, "people": null, "repository": "NERC EDS UK Polar Data Center", "science_program": null, "title": "Cosmogenic in situ 14C data and calculated surface exposure ages for 9 erratic cobbles collected from Mount Murphy, West Antarctica", "url": "https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01925"}, {"dataset_uid": "200487", "doi": "10.5285/7e80c81b-acc2-4a9b-9b5e-d37d49705524", "keywords": null, "people": null, "repository": "NERC EDS UK Polar Data Center", "science_program": null, "title": "Orientations of bedrock striations in the Hudson Mountains, West Antarctica", "url": "https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01868"}, {"dataset_uid": "200488", "doi": "10.5285/79c8eb39-5c19-440e-804f-816cd0b8e4bd", "keywords": null, "people": null, "repository": "NERC EDS UK Polar Data Center", "science_program": null, "title": "Geomorphological measurements and lithological classifications of 90 erratic cobbles from the Hudson Mountains, West Antarctica", "url": "https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01867"}, {"dataset_uid": "200489", "doi": "10.5285/1efc0048-5f0f-4ae7-a3a6-7728fe2ccf48", "keywords": null, "people": null, "repository": "NERC EDS UK Polar Data Center", "science_program": null, "title": "Cosmogenic Be-10 and Al-26 data and calculated surface exposure ages for cobbles collected from a moraine adjacent to Mount Murphy, West Antarctica", "url": "https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01840"}, {"dataset_uid": "200083", "doi": "10.7284/908147", "keywords": null, "people": null, "repository": "R2R", "science_program": null, "title": "NBP1902 Expedition data", "url": "https://www.rvdata.us/search/cruise/NBP1902"}, {"dataset_uid": "200490", "doi": "10.5285/9555694e-c9f5-4bf8-a556-2ad9d29e55c6", "keywords": null, "people": null, "repository": "NERC EDS UK Polar Data Center", "science_program": null, "title": "Ground-penetrating radar surveys at three nunataks in the Hudson Mountains in the Amundsen Sea sector of West Antarctica, December 2019", "url": "https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01842"}, {"dataset_uid": "200295", "doi": "", "keywords": null, "people": null, "repository": "ICE-D", "science_program": null, "title": "Cosmogenic-Nuclide data at ICE-D", "url": "https://version2.ice-d.org/antarctica/nsf/"}, {"dataset_uid": "601834", "doi": "10.15784/601834", "keywords": "Antarctica; Cryosphere; Mount Murphy", "people": "Goehring, Brent; Balco, Gregory; Campbell, Seth", "repository": "USAP-DC", "science_program": "Thwaites (ITGC)", "title": "Ice-penetrating radar data from the northern embayment of the Mt. Murphy massif", "url": "https://www.usap-dc.org/view/dataset/601834"}, {"dataset_uid": "601838", "doi": "10.15784/601838", "keywords": "Antarctica; Cryosphere; Density; Firn; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Ice Core Density; Ice Core Records; Snow/ice; Snow/Ice", "people": "Venturelli, Ryan", "repository": "USAP-DC", "science_program": "Thwaites (ITGC)", "title": "Firn and Ice Density at Winkie Nunatak", "url": "https://www.usap-dc.org/view/dataset/601838"}, {"dataset_uid": "200491", "doi": "10.5285/9ddd50c8-cd08-4afe-b245-f6891f1d9a3f", "keywords": null, "people": null, "repository": "NERC EDS UK Polar Data Center", "science_program": null, "title": "Cosmogenic Be-10 data and calculated surface exposure ages from nunataks adjacent to Pine Island Glacier in the Hudson Mountains, West Antarctica", "url": "https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01759"}, {"dataset_uid": "601705", "doi": "10.15784/601705", "keywords": "Antarctica; Cosmogenic Radionuclides; Mount Murphy; Subglacial Bedrock", "people": "Balco, Gregory; Goehring, Brent; Venturelli, Ryan", "repository": "USAP-DC", "science_program": "Thwaites (ITGC)", "title": "In situ 14C data from a subglacial bedrock core near Pope and Thwaites glaciers", "url": "https://www.usap-dc.org/view/dataset/601705"}, {"dataset_uid": "601677", "doi": "10.15784/601677", "keywords": "Antarctica; Ice Penetrating Radar; Pine Island Glacier; Subglacial Bedrock", "people": "Braddock, Scott", "repository": "USAP-DC", "science_program": "Thwaites (ITGC)", "title": "200 MHz ground-penetrating radar from Winkie Nunatak, West Antarctica", "url": "https://www.usap-dc.org/view/dataset/601677"}, {"dataset_uid": "200492", "doi": "10.5285/8f275626-5f22-48df-95e5-cdc8f204a897", "keywords": null, "people": null, "repository": "NERC EDS UK Polar Data Center", "science_program": null, "title": "Beryllium-10 exposure ages for Pope Glacier from a scoria cone 1.5 km west of Mount Murphy in the Amundsen Sea Embayment", "url": "https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01661"}, {"dataset_uid": "601554", "doi": "10.15784/601554", "keywords": "Antarctica; Pine Island Bay; Radiocarbon; Raised Beaches", "people": "Braddock, Scott; Hall, Brenda", "repository": "USAP-DC", "science_program": "Thwaites (ITGC)", "title": "Pine Island Bay Relative Sea-Level Data", "url": "https://www.usap-dc.org/view/dataset/601554"}], "date_created": "Tue, 16 Mar 2021 00:00:00 GMT", "description": "This project contributes to the joint initiative launched by the U.S. National Science Foundation (NSF) and the U.K. Natural Environment Research Council (NERC) to substantially improve decadal and longer-term projections of ice loss and sea-level rise originating from Thwaites Glacier in West Antarctica. The Thwaites Glacier system dominates the contribution to sea-level rise from Antarctica. Predicting how this system will evolve in coming decades, and thereby its likely contribution to sea level, requires detailed understanding of how it has responded to changes in climate and oceanographic conditions in the past. This project will provide a record of regional sea-level change by establishing chronologies for raised marine beaches as well as the timing and duration of periods of retreat of Thwaites Glacier during the past 10,000 years by sampling and dating bedrock presently covered by Thwaites Glacier via subglacial drilling. Together with climatic and oceanographic conditions from other records, these will provide boundary conditions for past-to-present model simulations as well as those used to predict future glacier changes under a range of climate scenarios. Specifically, the project will test the hypothesis--implied by existing geological evidence from the region--that present rapid retreat of the Thwaites Glacier system is reversible. The team aims to utilize two approaches: 1. To reconstruct relative sea level during the Holocene, it will map and date raised marine and shoreline deposits throughout Pine Island Bay. Chronological constraints on sea-level change will be provided by radiocarbon dating of organic material in landforms and sediments that are genetically related to past sea level, such as shell fragments, bones of marine fauna, and penguin guano. 2. To obtain geological evidence for past episodes of grounding-line retreat, the team will apply cosmogenic-nuclide exposure-dating of subglacial bedrock. Using drill systems recently developed for subglacial bedrock recovery, the team will obtain subglacial bedrock from sites where ice thickness is dynamically linked to grounding-line position in the Thwaites system (specifically in the Hudson Mountains, and near Mount Murphy). Observation of significant cosmogenic-nuclide concentrations--the team will primarily measure Beryllium-10 and in situ Carbon-14--in these samples would provide direct, unambiguous evidence for past episodes of thinning linked to grounding-line retreat as well as constraints on their timing and duration. This award reflects NSF\u0027s statutory mission and has been deemed worthy of support through evaluation using the Foundation\u0027s intellectual merit and broader impacts review criteria.", "east": -96.0, "geometry": "POINT(-105 -75)", "instruments": null, "is_usap_dc": true, "keywords": "AMD; FIELD INVESTIGATION; GLACIERS/ICE SHEETS; GLACIAL LANDFORMS; LABORATORY; Amd/Us; USAP-DC; GLACIATION; Amundsen Sea; USA/NSF", "locations": "Amundsen Sea", "north": -74.0, "nsf_funding_programs": "Antarctic Glaciology; Antarctic Earth Sciences; Antarctic Glaciology; Antarctic Earth Sciences", "paleo_time": null, "persons": "Venturelli, Ryan A; Goehring, Brent; Hall, Brenda; Campbell, Seth; Balco, Gregory", "platforms": "LAND-BASED PLATFORMS \u003e FIELD SITES \u003e FIELD INVESTIGATION; OTHER \u003e PHYSICAL MODELS \u003e LABORATORY", "repo": "USAP-DC", "repositories": "ICE-D; NERC EDS UK Polar Data Center; R2R; USAP-DC", "science_programs": "Thwaites (ITGC)", "south": -76.0, "title": "NSF-NERC: Geological History Constraints on the Magnitude of Grounding Line Retreat in the Thwaites Glacier System", "uid": "p0010165", "west": -114.0}, {"awards": "1744883 Wiens, Douglas", "bounds_geometry": "POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))", "dataset_titles": "ANT-20: A 3D seismic model of the upper mantle and transition zone structure beneath Antarctica and the surrounding southern oceans; CWANT-PSP: A 3-D shear velocity model from a joint inversion of receiver functions and surface wave dispersion derived from ambient noise and teleseismic earthquakes.", "datasets": [{"dataset_uid": "200178", "doi": "", "keywords": null, "people": null, "repository": "IRIS", "science_program": null, "title": "CWANT-PSP: A 3-D shear velocity model from a joint inversion of receiver functions and surface wave dispersion derived from ambient noise and teleseismic earthquakes.", "url": "http://ds.iris.edu/ds/products/emc-cwant-psp/"}, {"dataset_uid": "200179", "doi": "", "keywords": null, "people": null, "repository": "IRIS", "science_program": null, "title": "ANT-20: A 3D seismic model of the upper mantle and transition zone structure beneath Antarctica and the surrounding southern oceans", "url": "http://ds.iris.edu/ds/products/emc-ant-20/"}], "date_created": "Tue, 02 Jun 2020 00:00:00 GMT", "description": "The geological structure and history of Antarctica remains poorly understood because much of the continental crust is covered by ice. Here, the PIs will analyze over 15 years of seismic data recorded by numerous projects in Antarctica to develop seismic structural models of the continent. The seismic velocity models will reveal features including crustal thinning due to rifting in West Antarctica, the structures associated with mountain building, and the boundaries between different tectonic blocks. The models will be compared to continents that are better understood geologically to constrain the tectonic evolution of Antarctica. In addition, the work will provide better insight into how the solid earth interacts with and influences the development of the ice sheet. Surface heat flow will be mapped and used to identify regions in Antarctica with potential melting at the base of the ice sheet. This melt can lead to reduced friction and lower resistance to ice sheet movement. The models will help to determine whether the earth response to ice mass changes occurs over decades, hundreds, or thousands of years. Estimates of mantle viscosity calculated from the seismic data will be used to better understand the pattern and timescales of the response of the solid earth to changes in ice mass in various parts of Antarctica. The study will advance our knowledge of the structure of Antarctica by constructing two new seismic models and a thermal model using different but complementary methodologies. Because of the limitations of different seismic analysis methods, efforts will be divided between a model seeking the highest possible resolution within the upper 200 km depth in the well instrumented region (Bayesian Monte-Carlo joint inversion), and another model determining the structure of the entire continent and surrounding oceans extending through the mantle transition zone (adjoint full waveform inversion). The Monte-Carlo inversion will jointly invert Rayleigh wave group and phase velocities from earthquakes and ambient noise correlation along with P-wave receiver functions and Rayleigh H/V ratios. The inversion will be done in a Bayesian framework that provides uncertainty estimates for the structural model. Azimuthal anisotropy will be determined from Rayleigh wave velocities, providing constraints on mantle fabric and flow patterns. The seismic data will also be inverted for temperature structure, providing estimates of lithospheric thickness and surface heat flow. The larger-scale model will cover the entire continent as well as the surrounding oceans, and will be constructed using an adjoint inversion of phase differences between three component seismograms and synthetic seismograms calculated in a 3D earth model using the spectral element method. This model will fit the entire waveforms, including body waves and both fundamental and higher mode surface waves. Higher resolution results will be obtained by using double-difference methods and by incorporating Green\u0027s functions from ambient noise cross-correlation, and solving for both radial and azimuthal anisotropy. This award reflects NSF\u0027s statutory mission and has been deemed worthy of support through evaluation using the Foundation\u0027s intellectual merit and broader impacts review criteria.", "east": 180.0, "geometry": "POINT(0 -89.999)", "instruments": "NOT APPLICABLE \u003e NOT APPLICABLE \u003e NOT APPLICABLE", "is_usap_dc": true, "keywords": "USA/NSF; Carbon Cycle; SEISMIC PROFILE; Seismology; Southern Ocean; Amd/Us; Antarctica; West Antarctica; MODELS; SEISMIC SURFACE WAVES; AMD; TECTONICS; USAP-DC", "locations": "Antarctica; West Antarctica; Southern Ocean", "north": -60.0, "nsf_funding_programs": "Antarctic Earth Sciences", "paleo_time": null, "persons": "Wiens, Douglas; Shen, Weisen", "platforms": "OTHER \u003e MODELS \u003e MODELS", "repo": "IRIS", "repositories": "IRIS", "science_programs": null, "south": -90.0, "title": "Comprehensive Seismic and Thermal Models for Antarctica and the Southern Oceans: A Synthesis of 15-years of Seismic Exploration", "uid": "p0010103", "west": -180.0}, {"awards": "1643733 Trusel, Luke; 1643715 Moussavi, Mahsa Sadat", "bounds_geometry": "POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))", "dataset_titles": "Supraglacial Lakes in Antarctica", "datasets": [{"dataset_uid": "601401", "doi": "10.15784/601401", "keywords": "Antarctica; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; Landsat-8; Satellite Imagery; Supraglacial Lake", "people": "Trusel, Luke; Abdalati, Waleed; Moussavi, Mahsa; Halberstadt, Anna Ruth; Pope, Allen", "repository": "USAP-DC", "science_program": null, "title": "Supraglacial Lakes in Antarctica", "url": "https://www.usap-dc.org/view/dataset/601401"}], "date_created": "Mon, 16 Mar 2020 00:00:00 GMT", "description": "Melting of snow and ice at the surface of the Antarctic ice sheet can lead to the formation of meltwater lakes, an important precursor to ice-shelf collapse and accelerated ice-sheet mass loss. Understanding the present state of Antarctic surface melt provides a baseline to gauge how quickly melt impacts could evolve in the future and to reduce uncertainties in estimates of future sea-level rise. This project will use a suite of complimentary measurements from Earth-observing satellites, ground observations, and numerical climate and ice-shelf models to enhance understanding of surface melt and lakes, as well as the processes linking these systems. The project directly supports the scientific training of a postdoctoral associate and several undergraduate researchers. In addition, it will promote public scientific literacy and the broadening of quantitative skills for high-school students through the development and implementation of an educational unit in a partnership with an education and outreach expert and two high school teachers. Accurate prediction of sea-level contributions from Antarctica critically requires understanding current melting and supraglacial lake conditions. This project will quantify Antarctic surface melt and supraglacial lakes, and the linkages between the two phenomena. Scatterometer data will enable generation of a 19-year multi-sensor melt time series. Synthetic aperture radar data will document melt conditions across all Antarctic ice shelves at the highest spatial resolution to date (40 m). Multispectral satellite imagery will be used to delineate and measure the depth of supraglacial lakes--for the first time studying the spatial and temporal variations of Antarctic supraglacial lakes. Melt and lake observations will be compared to identify agreement and disagreement. Melt observations will be used to evaluate biases in a widely used, reanalysis-driven, regional climate model. This model will then be used to examine climatic and glaciological variables associated with supraglacial lakes. Finally, in situ observations and climate model output will drive a numerical model that simulates the entire lifecycle of surface melt and possible subsequent lake formation.", "east": 180.0, "geometry": "POINT(0 -89.999)", "instruments": null, "is_usap_dc": true, "keywords": "Amd/Us; Supraglacial Lake; ICE SHEETS; Satellite Imagery; LANDSAT; Antarctica; USAP-DC; AMD; USA/NSF; SENTINEL-2A", "locations": "Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Glaciology; Antarctic Glaciology", "paleo_time": null, "persons": "Moussavi, Mahsa; Pope, Allen; Trusel, Luke", "platforms": "SPACE-BASED PLATFORMS \u003e EARTH OBSERVATION SATELLITES \u003e LANDSAT \u003e LANDSAT; SPACE-BASED PLATFORMS \u003e EARTH OBSERVATION SATELLITES \u003e SENTINEL-2 \u003e SENTINEL-2A", "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -90.0, "title": "Collaborative Research: Water on the Antarctic Ice Sheet: Quantifying Surface Melt and Mapping Supraglacial Lakes", "uid": "p0010088", "west": -180.0}, {"awards": "1745053 Salvatore, Mark; 1744785 Barrett, John; 1744849 Sokol, Eric", "bounds_geometry": "POLYGON((162.92 -77.56,162.971 -77.56,163.022 -77.56,163.073 -77.56,163.124 -77.56,163.175 -77.56,163.226 -77.56,163.277 -77.56,163.328 -77.56,163.379 -77.56,163.43 -77.56,163.43 -77.571,163.43 -77.582,163.43 -77.593,163.43 -77.604,163.43 -77.615,163.43 -77.626,163.43 -77.637,163.43 -77.648,163.43 -77.659,163.43 -77.67,163.379 -77.67,163.328 -77.67,163.277 -77.67,163.226 -77.67,163.175 -77.67,163.124 -77.67,163.073 -77.67,163.022 -77.67,162.971 -77.67,162.92 -77.67,162.92 -77.659,162.92 -77.648,162.92 -77.637,162.92 -77.626,162.92 -77.615,162.92 -77.604,162.92 -77.593,162.92 -77.582,162.92 -77.571,162.92 -77.56))", "dataset_titles": "McMurdo Dry Valleys LTER: Microbial mat biomass and Normalized Difference Vegetation Index (NDVI) values from Lake Fryxell Basin, Antarctica, January 2018", "datasets": [{"dataset_uid": "200344", "doi": "10.6073/pasta/9acbbde9abc1e013f8c9fd9c383327f4", "keywords": null, "people": null, "repository": "EDI", "science_program": null, "title": "McMurdo Dry Valleys LTER: Microbial mat biomass and Normalized Difference Vegetation Index (NDVI) values from Lake Fryxell Basin, Antarctica, January 2018", "url": "https://portal.edirepository.org/nis/mapbrowse?packageid=knb-lter-mcm.263.1"}], "date_created": "Wed, 03 Jul 2019 00:00:00 GMT", "description": "Microbial mats are found throughout the McMurdo Dry Valleys where summer snowmelt provides liquid water that allows these mats to flourish. Researchers have long studied the environmental conditions microbial mats need to grow. Despite these efforts, it has been difficult to develop a broad picture of these unique ecosystems. Recent advances in satellite technology now provide researchers an exciting new tool to study these special Antarctic ecosystems from space using the unique spectral signatures associated with microbial mats. This new technology not only offers the promise that microbial mats can be mapped and studied from space, this research will also help protect these delicate environments from potentially harmful human impacts that can occur when studying them from the ground. This project will use satellite imagery and spectroscopic techniques to identify and map microbial mat communities and relate their properties and distributions to both field and lab-based measurements. This research provides an exciting new tool to help document and understand the distribution of a major component of the Antarctic ecosystem in the McMurdo Dry Valleys. The goal of this project is to establish quantitative relationships between spectral signatures derived from orbit and the physiological status and biogeochemical properties of microbial mat communities in Taylor Valley, Antarctica, as measured by field and laboratory analyses on collected samples. The goal wioll be met by (1) refining atmospheric correction techniques using in situ radiometric rectification to derive accurate surface spectra; (2) collecting multispectral orbital images concurrent with in situ sampling and spectral measurements in the field to ensure temporal comparability; (3) measuring sediment, water, and microbial mat samples for organic and inorganic carbon content, essential biogeochemical nutrients, and chlorophyll-a to determine relevant mat characteristics; and (4) quantitatively associating these laboratory-derived characteristics with field-derived and orbital spectral signatures and parameters. The result of this work will be a more robust quantitative link between the distribution of microbial mat communities and their biogeochemical properties to landscape-scale spectral signatures. This award reflects NSF\u0027s statutory mission and has been deemed worthy of support through evaluation using the Foundation\u0027s intellectual merit and broader impacts review criteria.", "east": 163.43, "geometry": "POINT(163.175 -77.615)", "instruments": null, "is_usap_dc": true, "keywords": "RIVERS/STREAM; CYANOBACTERIA (BLUE-GREEN ALGAE); USAP-DC; Taylor Valley; INFRARED IMAGERY; WORLDVIEW-2; WORLDVIEW-3; Antarctica; FIELD INVESTIGATION; Amd/Us; ACTIVE LAYER", "locations": "Antarctica; Taylor Valley", "north": -77.56, "nsf_funding_programs": "Antarctic Organisms and Ecosystems; Antarctic Organisms and Ecosystems; Antarctic Organisms and Ecosystems", "paleo_time": null, "persons": "Salvatore, Mark; Barrett, John; Sokol, Eric", "platforms": "LAND-BASED PLATFORMS \u003e FIELD SITES \u003e FIELD INVESTIGATION; SPACE-BASED PLATFORMS \u003e EARTH OBSERVATION SATELLITES \u003e WORLDVIEW \u003e WORLDVIEW-2; SPACE-BASED PLATFORMS \u003e EARTH OBSERVATION SATELLITES \u003e WORLDVIEW \u003e WORLDVIEW-3", "repo": "EDI", "repositories": "EDI", "science_programs": null, "south": -77.67, "title": "COLLABORATIVE RESEARCH: Remote Characterization of Microbial Mats in Taylor Valley, Antarctica, through In Situ Sampling and Spectral Validation", "uid": "p0010036", "west": 162.92}, {"awards": "1758224 Salvatore, Mark", "bounds_geometry": "POLYGON((-180 -83,-178 -83,-176 -83,-174 -83,-172 -83,-170 -83,-168 -83,-166 -83,-164 -83,-162 -83,-160 -83,-160 -83.4,-160 -83.8,-160 -84.2,-160 -84.6,-160 -85,-160 -85.4,-160 -85.8,-160 -86.2,-160 -86.6,-160 -87,-162 -87,-164 -87,-166 -87,-168 -87,-170 -87,-172 -87,-174 -87,-176 -87,-178 -87,180 -87,178 -87,176 -87,174 -87,172 -87,170 -87,168 -87,166 -87,164 -87,162 -87,160 -87,160 -86.6,160 -86.2,160 -85.8,160 -85.4,160 -85,160 -84.6,160 -84.2,160 -83.8,160 -83.4,160 -83,162 -83,164 -83,166 -83,168 -83,170 -83,172 -83,174 -83,176 -83,178 -83,-180 -83))", "dataset_titles": "Laboratory Hyperspectral Reflectance Data of Central Transantarctic Mountain Rocks and Sediments; Orbital imagery used for SpecMap project", "datasets": [{"dataset_uid": "601163", "doi": "10.15784/601163", "keywords": "Antarctica; Glaciers/ice Sheet; Glaciers/Ice Sheet; Remote Sensing; Rocks; Solid Earth; Spectroscopy; Transantarctic Mountains", "people": "Salvatore, Mark", "repository": "USAP-DC", "science_program": null, "title": "Laboratory Hyperspectral Reflectance Data of Central Transantarctic Mountain Rocks and Sediments", "url": "https://www.usap-dc.org/view/dataset/601163"}, {"dataset_uid": "002735", "doi": null, "keywords": null, "people": null, "repository": "PGC", "science_program": null, "title": "Orbital imagery used for SpecMap project", "url": "https://www.pgc.umn.edu/projects/specmap/"}], "date_created": "Thu, 14 Mar 2019 00:00:00 GMT", "description": "Intellectual Merit: Ice free rock outcrops in the Transantarctic Mountains provide the only accessible windows into the interior of the ice covered Antarctic continent; they are extremely remote and difficult to study. This region also hosts the highest latitude ice-free valley systems on the planet. Based on two interdisciplinary workshops, the Transantarctic region near the Shackleton Glacier has been identified as a high priority site for further studies, with a field camp proposed for the 2015-2016 Antarctic field season. The geology of this region has been studied since the heroic era of Antarctic exploration, in the early 1900s, but geologic mapping has not been updated in more than forty years, and existing maps are at poor resolution (typically 1:250,000). This project would utilize the WorldView-2 multispectral orbital dataset to supplement original geologic mapping efforts near the proposed 2015-2016 Shackleton Glacier camp. The WorldView-2 satellite is the only multispectral orbiting sensor capable of imaging the entirety of the Transantarctic Mountains, and all necessary data are currently available to the Polar Geospatial Center. High-latitude atmospheric correction of multispectral data for geologic investigations has only recently been tested, but has never been applied to WorldView-2 data, and never for observations of this type. Therefore, this research will require technique refinements and methodological developements to accomplish the goals. Atmospheric correction refinements and spectral validation will be made possible by laboratory spectroscopic measurements of rock samples currently stored at the U.S. Polar Rock Repository, at the Ohio State University. This project will result in spectral unit identification and boundary mapping at a factor of four higher resolution (1:62,500) than previous geologic mapping efforts, and more detailed investigations (1:5,123) are possible at resolutions more than a factor of forty-eight improved over previous geologic maps. Validated spectral mapping at these improved resolutions will allow for detailed lithologic, and potentially biologic, mapping using existing satellite imagery. This will greatly enhance planning capabilities, thus maximizing the efficiency of the scientific research and support logistics associated with the Shackleton Glacier deep field camp. Broader impacts: The proposed work will have multiple impacts on the broader scientific community. First, the refinement of existing atmospheric correction methodologies, and the development of new spectral mapping techniques, may substantially improve our ability to remotely investigate geologic surfaces throughout Antarctica. The ability to validate this orbital dataset will be of use to both current and future geologic, environmental, and biologic studies, potentially across the entire continent. The project will yield a specific spectral mapping product (at a scale of 1:62,500) to the scientific community by a targeted date of 01 March 2014, in order to support proposals submitted to the National Science Foundation for the proposed 2015/2016 Shackleton Glacier camp. High-resolution spectral mapping products (up to a maximum resolution of 2 meters per pixel) will also be generated for regions of particular scientific interest. The use of community based resources, such as Polar Geospatial Center (PGC) imagery and U.S. Polar Rock Repository rock samples, will generate new synergistic and collaborative research possibilities within the Antarctic research community. In addition, the lead PI (Salvatore) is an early career scientist who is active in both Antarctic and planetary remote sensing. There are overlaps in the calibration, correction, and validation of remote spectral datasets for Antarctic and planetary applications which can lead to benefits and insights to an early career PI, as well as the two communities.", "east": -160.0, "geometry": "POINT(180 -85)", "instruments": "NOT APPLICABLE \u003e NOT APPLICABLE \u003e NOT APPLICABLE", "is_usap_dc": true, "keywords": "NOT APPLICABLE; Antarctica; GEOCHEMISTRY; LANDSCAPE; REFLECTED INFRARED; USAP-DC", "locations": "Antarctica", "north": -83.0, "nsf_funding_programs": "Antarctic Earth Sciences", "paleo_time": null, "persons": "Salvatore, Mark", "platforms": "OTHER \u003e NOT APPLICABLE \u003e NOT APPLICABLE", "repo": "USAP-DC", "repositories": "PGC; USAP-DC", "science_programs": null, "south": -87.0, "title": "EAGER: Surface Variability and Spectral Analyses of the Central Transantarctic Mountains, Antarctica", "uid": "p0010020", "west": 160.0}, {"awards": "1141939 Lubin, Dan", "bounds_geometry": "POLYGON((-167.0365 -77.5203,-166.96385 -77.5203,-166.8912 -77.5203,-166.81855 -77.5203,-166.7459 -77.5203,-166.67325 -77.5203,-166.6006 -77.5203,-166.52795 -77.5203,-166.4553 -77.5203,-166.38265 -77.5203,-166.31 -77.5203,-166.31 -77.52527,-166.31 -77.53024,-166.31 -77.53521,-166.31 -77.54018,-166.31 -77.54515,-166.31 -77.55012,-166.31 -77.55509,-166.31 -77.56006,-166.31 -77.56503,-166.31 -77.57,-166.38265 -77.57,-166.4553 -77.57,-166.52795 -77.57,-166.6006 -77.57,-166.67325 -77.57,-166.7459 -77.57,-166.81855 -77.57,-166.8912 -77.57,-166.96385 -77.57,-167.0365 -77.57,-167.0365 -77.56503,-167.0365 -77.56006,-167.0365 -77.55509,-167.0365 -77.55012,-167.0365 -77.54515,-167.0365 -77.54018,-167.0365 -77.53521,-167.0365 -77.53024,-167.0365 -77.52527,-167.0365 -77.5203))", "dataset_titles": "Shortwave Spectroradiometer Data from Ross Island, Antarctica", "datasets": [{"dataset_uid": "601074", "doi": "10.15784/601074", "keywords": "Antarctica; Atmosphere; Meteorology; Radiosounding; Ross Island", "people": "Lubin, Dan", "repository": "USAP-DC", "science_program": null, "title": "Shortwave Spectroradiometer Data from Ross Island, Antarctica", "url": "https://www.usap-dc.org/view/dataset/601074"}], "date_created": "Wed, 20 Dec 2017 00:00:00 GMT", "description": "Antarctic clouds constitute an important parameter of the surface radiation budget and thus play a significant role in Antarctic climate and climate change. The variability in, and long term trends of, cloud optical and microphysical properties are therefore fundamental in parameterizing the mixed phase (water-snow-ice) coastal Antarctic stratiform clouds experienced around the continent. Using a spectoradiometer that covers the wavelength range of 350 to 2200nm, the downwelled spectral irradiance at the earth surface (Ross Island) will be used to retrieve the optical depth, thermodynamic phase, liquid water droplet effective radius, and ice-cloud effective particle size of overhead clouds, at hourly intervals and for an austral summer season (Oct-March). Based on the very limited data sets that exist for the maritime Antarctic, expectations are that Ross Island (Lat 78 S) should exhibit clouds with: a) An abundance of supercooled liquid water, and related mixed-phase cloud processes b) Cloud nucleation from year round biogenic and oceanic sources, in an otherwise pristine environment c) Simple cloud geometries of predominantly stratiform cloud decks Increased understanding of the cloud properties in the region of the main USAP base, McMurdo station is also relevant to operational weather forecasting relevant to aviation. A range of educational and outreach activities are associate with the project, including provision of workshops for high school teachers will be carried out.", "east": -166.31, "geometry": "POINT(-166.67325 -77.54515)", "instruments": null, "is_usap_dc": true, "keywords": "Not provided; USAP-DC", "locations": null, "north": -77.5203, "nsf_funding_programs": "Antarctic Ocean and Atmospheric Sciences", "paleo_time": null, "persons": "Lubin, Dan", "platforms": "Not provided", "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -77.57, "title": "Antarctic Cloud Physics: Fundamental Observations from Ross Island", "uid": "p0000327", "west": -167.0365}, {"awards": "1141275 Warren, Stephen", "bounds_geometry": null, "dataset_titles": "Antarctic field campaign data page", "datasets": [{"dataset_uid": "001399", "doi": "", "keywords": null, "people": null, "repository": "PI website", "science_program": null, "title": "Antarctic field campaign data page", "url": "http://www.atmos.washington.edu/articles/EastAntarctica_SeaIceAlbedos_SnowImpurities/"}], "date_created": "Fri, 30 Jan 2015 00:00:00 GMT", "description": "The albedo, or reflection coefficient, is a measure of the diffuse reflectivity of an irradiated surface. With the sunlit atmosphere as a light source, and sea-ice as a diffuse reflecting surface, the albedo would be the fraction of incident light that is returned to the atmosphere. A perfect (white) reflecting surface would have an albedo of 1; a perfect (black) absorbing surface would have an albedo of 0. The albedo of sea-ice is needed to assess the solar energy budget of the marginal ice zone, to compute the partial solar bands in radiation budgets in general circulation and earth system models, and is also needed to interpret remote sensing imagery data products. Applications requiring albedos further into the near IR, out to 2500nm, are assumed or approximated. Modern spectral radiometers, such as will be used in this campaign on a Southern Ocean voyage from Hobart to Antarctica, can extend these measurements of albedo from 350 to 2500nm, allowing earlier estimates to be verified, or corrected. Surfaces to be encountered on this research cruise are expected to include open water, grease ice, nila ice, pancake ice, young grey ice, young grey-white ice, along with first year ice. The presence of variable amounts of snow on these surfaces is also of interest. Light absorbing impurities in the snow and ice, including black carbon and organic matter (brown carbon) are different from those found in Arctic Sea ice, the Antarctic being so remote from combustion sources. This may allow better understanding of the seasonal cycles, energy budgets and their recent trends in spatial extent and thickness. The project will also broaden the educational experiences of both US and Australian students participating in the measurement campaign", "east": null, "geometry": null, "instruments": null, "is_usap_dc": false, "keywords": "Radiometers; Radiation Budgets; Sea Ice; Energy Budgets; Impurities; COMPUTERS; Albedo; Spectral; LABORATORY; Antarctica; Snow Temperature; Reflecting Surface; Snow Density; R/V AA", "locations": "Antarctica", "north": null, "nsf_funding_programs": "Antarctic Ocean and Atmospheric Sciences", "paleo_time": null, "persons": "Warren, Stephen; Zatko, Maria", "platforms": "OTHER \u003e MODELS \u003e COMPUTERS; OTHER \u003e PHYSICAL MODELS \u003e LABORATORY; WATER-BASED PLATFORMS \u003e VESSELS \u003e SURFACE \u003e R/V AA", "repo": "PI website", "repositories": "PI website", "science_programs": null, "south": null, "title": "Spectral and Broadband Albedo of Antarctic Sea-ice Types", "uid": "p0000375", "west": null}, {"awards": "0739684 Hatcher, Patrick", "bounds_geometry": null, "dataset_titles": null, "datasets": null, "date_created": "Wed, 26 Sep 2012 00:00:00 GMT", "description": "This award supports a project to fully develop the analytical protocols needed to exploit a relatively new technique for the analysis of soluble organic matter in ice core samples. The technique couples Electrospray ionization to high resolution Fourier transform ion cyclotron resonance mass spectrometry (ESI-FTICR-MS). Sample volume will be reduced and pre-concentration steps will be eliminated. Following method optimization a suite of ice core samples will be studied from several Antarctic and Greenland locations to address several hypothesis driven research questions. Preliminary results show that a vast record of relatively high molecular weight organic material exists in ice core samples and intriguing results from a few samples warrant further investigation. Several important questions related to developing a better understanding of the nature and paleo record of organic matter in ice cores will be addressed. These include developing a better understanding of the origin of nitrogen and sulfur isotopes in pre-industrial vs. modern samples, developing the methods to apply molecular biomarker techniques, routinely used by organic geochemists for sediment analyses, to the analysis of organic matter in ice cores, tracking the level of oxidation of homologous series of compounds and using them as a proxy for atmospheric oxidant levels in the past and determining whether or not high resolution FTICR mass spectral analysis can provide the ice core community with a robust method to analyze organic materials at the molecular level. The intellectual merit of this work is that this analytical method will provide a new understanding of the nature of organic matter in ice, possibly leading to the discovery of multitudes of molecular species indicative of global change processes whose abundances can be compared with other change proxies. The proposed studies are of an exploratory nature and potentially transformative for the field of ice core research and cryobiology. The broader impacts of these studies are that they should provide compelling evidence regarding organic matter sources, atmospheric processing and anthropogenic inputs to polar ice and how these have varied over time. The collaborative work proposed here will partner atmospheric chemistry/polar ice chemistry expertise with organic geochemistry expertise, resulting in significant contributions to both fields of study and significant advances in ice core analysis. Training of both graduate and undergraduate students will be a key component of the project and students will be involved in collaborative research using advanced analytical instrumentation, presentation of research results at national meetings, and will participate in manuscript preparation.", "east": null, "geometry": null, "instruments": "IN SITU/LABORATORY INSTRUMENTS \u003e SPECTROMETERS/RADIOMETERS \u003e MASS SPECTROMETERS", "is_usap_dc": false, "keywords": "Ice Core; Isotope; Organic Matter; Nitrogen; Sulfur; Not provided; LABORATORY; Mass Spectrometry; COMPUTERS; Molecular", "locations": null, "north": null, "nsf_funding_programs": "Antarctic Glaciology", "paleo_time": null, "persons": "Hatcher, Patrick; Grannas, Amanda", "platforms": "Not provided; OTHER \u003e MODELS \u003e COMPUTERS; OTHER \u003e PHYSICAL MODELS \u003e LABORATORY", "repositories": null, "science_programs": null, "south": null, "title": "Collaborative Research: Molecular Level Characterization of Organic Matter in Ice Cores using High-resolution FTICR mass spectrometry", "uid": "p0000707", "west": null}, {"awards": "9910122 Martinson, Douglas", "bounds_geometry": null, "dataset_titles": "Expedition Data; Expedition data of LMG0106; Expedition data of LMG0205", "datasets": [{"dataset_uid": "002695", "doi": null, "keywords": null, "people": null, "repository": "R2R", "science_program": null, "title": "Expedition data of LMG0106", "url": "https://www.rvdata.us/search/cruise/LMG0106"}, {"dataset_uid": "002703", "doi": null, "keywords": null, "people": null, "repository": "R2R", "science_program": null, "title": "Expedition data of LMG0205", "url": "https://www.rvdata.us/search/cruise/LMG0205"}, {"dataset_uid": "002697", "doi": null, "keywords": null, "people": null, "repository": "R2R", "science_program": null, "title": "Expedition data of LMG0106", "url": "https://www.rvdata.us/search/cruise/LMG0106"}, {"dataset_uid": "001757", "doi": "", "keywords": null, "people": null, "repository": "R2R", "science_program": null, "title": "Expedition Data", "url": "https://www.rvdata.us/search/cruise/LMG0205"}], "date_created": "Tue, 04 May 2010 00:00:00 GMT", "description": "This project is a contribution to a coordinated attempt to understand the interactions of biological and physical dynamics by developing mechanistic links between the evolution of the antarctic winter ice and snow cover, and biological habitat variability, through modeling the optical properties of the environment. The work will be carried out in the context of the Southern Ocean Experiment of the Global Ocean Ecosystem Dynamics Study (Globec), a large, multi-investigator study of the winter survival strategy of krill under the antarctic sea ice. The optical properties of snow and sea ice evolve through the winter and vary greatly both spectrally and spatially. These properties are an important element of the physical environment that strongly influences both the distribution of and the resources available to antarctic krill. The intensity of incident radiant energy and its distribution within the snow, ice, and water column environment, and the linked physical, optical, chemical, and biological processes that modulate its distribution are generally known but poorly quantified. The optical properties of snow and ice also influence snow algae, ice algae, and water column productivity, as well as visibility for both predator and prey. Furthermore, optical properties play an essential role in satellite observations as proxy indicators of geophysical sea ice parameters which permit local observations to be more accurately extrapolated in space and time, thus providing regional coverage that would otherwise not be possible. What is proposed is the deployment of an array of instrumented ice beacons, augmented by periodic ship-based and satellite observations, along with theoretical studies to create improved quantitative models with which to follow the temporal and spatial evolution of this snow and ice marine ecosystem. The specific objective is to develop a thermodynamic sea ice/ecosystem model through coupling of existing components in order to test our understanding of the system, determine its sensitivities, and to provide an organizing mechanism for integrating the Southern Ocean Globec observations. ***", "east": null, "geometry": null, "instruments": null, "is_usap_dc": false, "keywords": "R/V LMG", "locations": null, "north": null, "nsf_funding_programs": "Antarctic Ocean and Atmospheric Sciences", "paleo_time": null, "persons": "Costa, Daniel", "platforms": "WATER-BASED PLATFORMS \u003e VESSELS \u003e SURFACE \u003e R/V LMG", "repo": "R2R", "repositories": "R2R", "science_programs": null, "south": null, "title": "Collaborative Research: Optical Environmental of the Western Antarctic Peninsula (WAP) Region", "uid": "p0000865", "west": null}, {"awards": "0125818 Gargett, Ann", "bounds_geometry": null, "dataset_titles": "Expedition Data; Expedition data of NBP0508", "datasets": [{"dataset_uid": "002610", "doi": null, "keywords": null, "people": null, "repository": "R2R", "science_program": null, "title": "Expedition data of NBP0508", "url": "https://www.rvdata.us/search/cruise/NBP0508"}, {"dataset_uid": "001584", "doi": "", "keywords": null, "people": null, "repository": "R2R", "science_program": null, "title": "Expedition Data", "url": "https://www.rvdata.us/search/cruise/NBP0508"}], "date_created": "Tue, 04 May 2010 00:00:00 GMT", "description": "Ultraviolet radiation influences the dynamics of plankton processes in the near-surface waters of most aquatic ecosystems. In particular, the Southern Ocean is affected in the austral spring period when biologically damaging ultraviolet radiation is enhanced by ozone depletion. While progress has been made in estimating the quantitative impact of ultraviolet radiation on bacteria and phytoplankton in the Southern Ocean, some important issues remain to be resolved. Little is known about responses in systems dominated by the colonial haptophyte Phaeocystis antarctica, which dominates spring blooms in a polyna that develops in the southern Ross Sea. The Ross Sea is also of interest because of the occurrence of open water at a far southerly location in the spring, well within the ozone hole, and continuous daylight, with implications for the regulation of DNA repair. A number of studies suggest that vertical mixing can significant modify the impact of ultraviolet radiation in the Southern Ocean and elsewhere. However, there are limited measurements of turbulence intensity in the surface layer and measurements have not been integrated with parallel studies of ultraviolet radiation effects on phytoplankton and bacterioplankton. To address these issues, this collaborative study will focus on vertical mixing and the impact of ultraviolet radiation in the Ross Sea. The spectral and temporal responses of phytoplankton and bacterioplankton to ultraviolet radiation will be characterized in both laboratory and solar incubations. These will lead to the definition of biological weighting functions and response models capable of predicting the depth and time distribution of ultraviolet radiation impacts on photosynthesis, bacterial incorporation and DNA damage in the surface layer. Diel sampling will measure depth-dependent profiles of DNA damage, bacterial incorporation, photosynthesis and fluorescence parameters over a 24 h cycle. Sampling will include stations with contrasting wind-driven mixing and stratification as the polyna develops. The program of vertical mixing measurements is optimized for the typical springtime Ross Sea situation in which turbulence of intermediate intensity is insufficient to mix the upper layer thoroughly in the presence of stabilizing influences like solar heating and/or surface freshwater input from melting ice. Fine-scale vertical density profiles will be measured with a free-fall CTD unit and the profiles will be used to directly estimate large-eddy scales by determining Thorpe scales. Eddy scales and estimated turbulent diffusivities will be directly related to surface layer effects, and used to generate lagrangian depth-time trajectories in models of ultraviolet radiation responses in the surface mixed layer. The proposed research will be the first in-depth study of ultraviolet radiation effects in the Ross Sea and provide a valuable comparison with previous work in the Weddell-Scotia Confluence and Palmer Station regions. It will also enhance the understanding of vertical mixing processes, trophic interactions and biogeochemical cycling in the Ross Sea.", "east": null, "geometry": null, "instruments": "IN SITU/LABORATORY INSTRUMENTS \u003e PROFILERS/SOUNDERS \u003e CTD; IN SITU/LABORATORY INSTRUMENTS \u003e MAGNETIC/MOTION SENSORS \u003e GRAVIMETERS \u003e GRAVIMETERS; IN SITU/LABORATORY INSTRUMENTS \u003e PRESSURE/HEIGHT METERS \u003e PRESSURE SENSORS; IN SITU/LABORATORY INSTRUMENTS \u003e PHOTON/OPTICAL DETECTORS \u003e TURBIDITY METERS; IN SITU/LABORATORY INSTRUMENTS \u003e PROFILERS/SOUNDERS \u003e ACOUSTIC SOUNDERS \u003e ADCP", "is_usap_dc": false, "keywords": "R/V NBP; B-15J", "locations": "B-15J", "north": null, "nsf_funding_programs": "Antarctic Ocean and Atmospheric Sciences", "paleo_time": null, "persons": "Neale, Patrick", "platforms": "WATER-BASED PLATFORMS \u003e VESSELS \u003e SURFACE \u003e R/V NBP", "repo": "R2R", "repositories": "R2R", "science_programs": null, "south": null, "title": "Collaborative Research: Interactive effects of UV and vertical mixing on phytoplankton and bacterioplankton in the Ross Sea", "uid": "p0000822", "west": null}, {"awards": "0739702 Head, James", "bounds_geometry": "POLYGON((-180 -60,-144 -60,-108 -60,-72 -60,-36 -60,0 -60,36 -60,72 -60,108 -60,144 -60,180 -60,180 -63,180 -66,180 -69,180 -72,180 -75,180 -78,180 -81,180 -84,180 -87,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87,-180 -84,-180 -81,-180 -78,-180 -75,-180 -72,-180 -69,-180 -66,-180 -63,-180 -60))", "dataset_titles": null, "datasets": null, "date_created": "Thu, 14 May 2009 00:00:00 GMT", "description": "Abstract\u003cbr/\u003e\u003cbr/\u003eThis project uses Aster and Hyperion remote sensing data combined with field observations and laboratory analysis to map soils in the McMurdo Dry Valleys of Antarctica. The goal is to use mineral abundances, compositions, and spatial heterogeneities to investigate the connections between microclimate and surface characteristics. The valleys are one of the most unique landscapes on earth. The outcomes will be relevant to understanding their geologic, biologic, and climactic history, and offer insight into the Martian landscape. The main broader impacts are graduate education and curriculum development involving K12 teachers.", "east": 180.0, "geometry": "POINT(0 -89.999)", "instruments": null, "is_usap_dc": true, "keywords": "Not provided", "locations": null, "north": -60.0, "nsf_funding_programs": "Antarctic Earth Sciences", "paleo_time": null, "persons": "Wyatt, Michael", "platforms": "Not provided", "repositories": null, "science_programs": null, "south": -90.0, "title": "Orbital Spectral Mapping of Surface Compositions in the Antarctic Dry Valleys: Regional Distributions of Secondary Mineral-Phases as Climate Indicators", "uid": "p0000549", "west": -180.0}, {"awards": "0127022 Jeffrey, Wade", "bounds_geometry": "POLYGON((-177.639 -43.5676,-143.1091 -43.5676,-108.5792 -43.5676,-74.0493 -43.5676,-39.5194 -43.5676,-4.9895 -43.5676,29.5404 -43.5676,64.0703 -43.5676,98.6002 -43.5676,133.1301 -43.5676,167.66 -43.5676,167.66 -46.99877,167.66 -50.42994,167.66 -53.86111,167.66 -57.29228,167.66 -60.72345,167.66 -64.15462,167.66 -67.58579,167.66 -71.01696,167.66 -74.44813,167.66 -77.8793,133.1301 -77.8793,98.6002 -77.8793,64.0703 -77.8793,29.5404 -77.8793,-4.9895 -77.8793,-39.5194 -77.8793,-74.0493 -77.8793,-108.5792 -77.8793,-143.1091 -77.8793,-177.639 -77.8793,-177.639 -74.44813,-177.639 -71.01696,-177.639 -67.58579,-177.639 -64.15462,-177.639 -60.72345,-177.639 -57.29228,-177.639 -53.86111,-177.639 -50.42994,-177.639 -46.99877,-177.639 -43.5676))", "dataset_titles": "Expedition Data; Ross Sea microbial biomass and production", "datasets": [{"dataset_uid": "001690", "doi": "", "keywords": null, "people": null, "repository": "R2R", "science_program": null, "title": "Expedition Data", "url": "https://www.rvdata.us/search/cruise/NBP0304B"}, {"dataset_uid": "001584", "doi": "", "keywords": null, "people": null, "repository": "R2R", "science_program": null, "title": "Expedition Data", "url": "https://www.rvdata.us/search/cruise/NBP0508"}, {"dataset_uid": "600029", "doi": "10.15784/600029", "keywords": "Biota; Chemistry:fluid; Chemistry:Fluid; CTD Data; Microbiology; Oceans; Phytoplankton; Ross Sea; Southern Ocean", "people": "Jeffrey, Wade H.", "repository": "USAP-DC", "science_program": null, "title": "Ross Sea microbial biomass and production", "url": "https://www.usap-dc.org/view/dataset/600029"}], "date_created": "Thu, 12 Jun 2008 00:00:00 GMT", "description": "Ultraviolet radiation influences the dynamics of plankton processes in the near-surface waters of most aquatic ecosystems. In particular, the Southern Ocean is affected in the austral spring period when biologically damaging ultraviolet radiation is enhanced by ozone depletion. While progress has been made in estimating the quantitative impact of ultraviolet radiation on bacteria and phytoplankton in the Southern Ocean, some important issues remain to be resolved. Little is known about responses in systems dominated by the colonial haptophyte Phaeocystis antarctica, which dominates spring blooms in a polyna that develops in the southern Ross Sea. The Ross Sea is also of interest because of the occurrence of open water at a far southerly location in the spring, well within the ozone hole, and continuous daylight, with implications for the regulation of DNA repair. A number of studies suggest that vertical mixing can significant modify the impact of ultraviolet radiation in the Southern Ocean and elsewhere. However, there are limited measurements of turbulence intensity in the surface layer and measurements have not been integrated with parallel studies of ultraviolet radiation effects on phytoplankton and bacterioplankton. To address these issues, this collaborative study will focus on vertical mixing and the impact of ultraviolet radiation in the Ross Sea. The spectral and temporal responses of phytoplankton and bacterioplankton to ultraviolet radiation will be characterized in both laboratory and solar incubations. These will lead to the definition of biological weighting functions and response models capable of predicting the depth and time distribution of ultraviolet radiation impacts on photosynthesis, bacterial incorporation and DNA damage in the surface layer. Diel sampling will measure depth-dependent profiles of DNA damage, bacterial incorporation, photosynthesis and fluorescence parameters over a 24 h cycle. Sampling will include stations with contrasting wind-driven mixing and stratification as the polyna develops. The program of vertical mixing measurements is optimized for the typical springtime Ross Sea situation in which turbulence of intermediate intensity is insufficient to mix the upper layer thoroughly in the presence of stabilizing influences like solar heating and/or surface freshwater input from melting ice. Fine-scale vertical density profiles will be measured with a free-fall CTD unit and the profiles will be used to directly estimate large-eddy scales by determining Thorpe scales. Eddy scales and estimated turbulent diffusivities will be directly related to surface layer effects, and used to generate lagrangian depth-time trajectories in models of ultraviolet radiation responses in the surface mixed layer. The proposed research will be the first in-depth study of ultraviolet radiation effects in the Ross Sea and provide a valuable comparison with previous work in the Weddell-Scotia Confluence and Palmer Station regions. It will also enhance the understanding of vertical mixing processes, trophic interactions and biogeochemical cycling in the Ross Sea.", "east": 167.66, "geometry": "POINT(-4.9895 -60.72345)", "instruments": "IN SITU/LABORATORY INSTRUMENTS \u003e PROFILERS/SOUNDERS \u003e CTD; IN SITU/LABORATORY INSTRUMENTS \u003e MAGNETIC/MOTION SENSORS \u003e GRAVIMETERS \u003e GRAVIMETERS; IN SITU/LABORATORY INSTRUMENTS \u003e PRESSURE/HEIGHT METERS \u003e PRESSURE SENSORS; IN SITU/LABORATORY INSTRUMENTS \u003e PHOTON/OPTICAL DETECTORS \u003e TURBIDITY METERS; IN SITU/LABORATORY INSTRUMENTS \u003e PROFILERS/SOUNDERS \u003e ACOUSTIC SOUNDERS \u003e ADCP; IN SITU/LABORATORY INSTRUMENTS \u003e SAMPLERS \u003e BOTTLES/FLASKS/JARS \u003e WATER BOTTLES; EARTH REMOTE SENSING INSTRUMENTS \u003e PASSIVE REMOTE SENSING \u003e POSITIONING/NAVIGATION \u003e GPS \u003e GPS; IN SITU/LABORATORY INSTRUMENTS \u003e PROFILERS/SOUNDERS \u003e ACOUSTIC SOUNDERS \u003e MSBS; IN SITU/LABORATORY INSTRUMENTS \u003e CHEMICAL METERS/ANALYZERS \u003e FLUORESCENCE MICROSCOPY; IN SITU/LABORATORY INSTRUMENTS \u003e PHOTON/OPTICAL DETECTORS \u003e MICROSCOPES; IN SITU/LABORATORY INSTRUMENTS \u003e CHEMICAL METERS/ANALYZERS \u003e FLUOROMETERS; IN SITU/LABORATORY INSTRUMENTS \u003e SAMPLERS \u003e BOTTLES/FLASKS/JARS \u003e GO-FLO BOTTLES", "is_usap_dc": true, "keywords": "R/V NBP; B-15J", "locations": "B-15J", "north": -43.5676, "nsf_funding_programs": "Antarctic Organisms and Ecosystems", "paleo_time": null, "persons": "Jeffrey, Wade H.; Neale, Patrick", "platforms": "WATER-BASED PLATFORMS \u003e VESSELS \u003e SURFACE \u003e R/V NBP", "repo": "R2R", "repositories": "R2R; USAP-DC", "science_programs": null, "south": -77.8793, "title": "Collaborative Proposal: Interactive Effects of UV Radiation and Vertical Mixing on Phytoplankton and Bacterial Productivity of Ross See Phaeocystis Blooms", "uid": "p0000578", "west": -177.639}, {"awards": "0440609 Price, P. Buford", "bounds_geometry": "POINT(-112.06556 -79.469444)", "dataset_titles": null, "datasets": null, "date_created": "Tue, 03 Jun 2008 00:00:00 GMT", "description": "This award supports a project to use three downhole instruments - an optical logger; a\u003cbr/\u003eminiaturized biospectral logger at 420 nm (miniBSL-420); and an Acoustic TeleViewer (ATV) - to log a 350-m borehole at the WAIS Divide drill site. In addition, miniBSL-224 (at 224 nm) and miniBSL-420 will scan ice core sections at NICL to look for abrupt climate changes, volcanic ash, microbial concentrations, and correlations among them. Using the optical logger and ATV to log bubble number densities vs depth in a WAIS Divide borehole, we will detect annual layers, from which we can establish the age vs depth relation to the bottom of the borehole that will be available during the three-year grant period. With the same instruments we will search for long-period modulation of bubble and dust concentrations in order to provide definitive evidence for or against an effect of long-period variability of the sun or solar wind on climate. We will detect and accurately date ash layers in a WAIS Divide borehole. We will match them with ash layers that we previously detected in the Siple Dome borehole, and also match them with sulfate and ash layers found by others at Vostok, Dome Fuji, Dome C, and GISP2. The expected new data will allow us to extend our recent study which showed that the Antarctic record of volcanism correlates with abrupt climate change at a 95% to \u003e99.8% significance level and that the volcanic signatures at bipolar locations match at better than 3 sigma during the interval 2 to 45 kiloyears. The results to be obtained during this grant period will position us to extend an accurate age vs depth relation and volcano-climate correlations to earlier than 150 kiloyears ago in the future WAIS Divide borehole to be drilled to bedrock. Using the miniBSLs to identify biomolecules via their fluorescence, we will log a 350-m borehole at WAIS Divide, and we will scan selected lengths of ice core at NICL. Among the biomolecules the miniBSLs can identify will be chlorophyll, which will provide the first map of aerobic microbes in ice, and F420, which will provide the first map of methanogens in ice. We will collaborate with others in relating results from WAIS Divide and NICL ice cores to broader topics in climatology, volcanology, and microbial ecology. We will continue to give broad training to undergraduate and graduate students, to attract underrepresented minorities to science, engineering, and math, and to educate the press and college teachers. A deeper understanding of the causes of abrupt climate change, including a causal relationship with strong volcanic eruptions, can enable us to understand and mitigate adverse effects on climate.", "east": -112.06556, "geometry": "POINT(-112.06556 -79.469444)", "instruments": "IN SITU/LABORATORY INSTRUMENTS \u003e CHEMICAL METERS/ANALYZERS \u003e FLUORESCENCE SPECTROSCOPY; IN SITU/LABORATORY INSTRUMENTS \u003e RECORDERS/LOGGERS \u003e OPTICAL DUST LOGGERS", "is_usap_dc": false, "keywords": "Volcanic Ash; Dust Concentration; Antarctica; FIELD INVESTIGATION; Liquid Veins In Ice; Optical Logger; Borehole; Ash Layer; FIELD SURVEYS; Microbial Metabolism; Climate; Biospectral Logger; Not provided; Protein Fluorescence; Gas Artifacts; Aerosol Fluorescence; Volcanism; WAIS Divide; Ice Core", "locations": "WAIS Divide; Antarctica", "north": -79.469444, "nsf_funding_programs": "Antarctic Glaciology", "paleo_time": null, "persons": "Bay, Ryan; Price, Buford", "platforms": "LAND-BASED PLATFORMS \u003e FIELD SITES \u003e FIELD INVESTIGATION; LAND-BASED PLATFORMS \u003e FIELD SITES \u003e FIELD SURVEYS; Not provided", "repositories": null, "science_programs": null, "south": -79.469444, "title": "Climatology, Volcanism, and Microbial Life in Ice with Downhole Loggers", "uid": "p0000746", "west": -112.06556}]

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