USAP-DC

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

[{"awards": "1643652 Hofmann, Eileen; 1643618 Arrigo, Kevin", "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 biological model output; Antarctic dFe model dyes", "datasets": [{"dataset_uid": "200211", "doi": "10.26008/1912/bco-dmo.858663.1", "keywords": null, "people": null, "repository": "BCO-DMO", "science_program": null, "title": "Antarctic biological model output", "url": "https://www.bco-dmo.org/dataset/858663"}, {"dataset_uid": "200210", "doi": "10.26008/1912/bco-dmo.782848.1", "keywords": null, "people": null, "repository": "BCO-DMO", "science_program": null, "title": "Antarctic dFe model dyes", "url": "https://www.bco-dmo.org/dataset/782848"}], "date_created": "Thu, 29 Apr 2021 00:00:00 GMT", "description": "Coastal waters surrounding Antarctica represent some of the most biologically rich and most untouched ecosystems on Earth. In large part, this biological richness is concentrated within the numerous openings that riddle the expansive sea ice (these openings are known as polynyas) near the Antarctic continent. These polynyas represent regions of enhanced production known as hot-spots and support the highest animal densities in the Southern Ocean. Many of them are also located adjacent to floating extensions of the vast Antarctic Ice Sheet and receive a substantial amount of meltwater runoff each year during the summer. However, little is known about the specific processes that make these ecosystems so biologically productive. Of the 46 Antarctic coastal polynyas that are presently known, only a handful have been investigated in detail. This project will develop ecosystem models for the Ross Sea polynya, Amundsen polynya, and Pine Island polynya; three of the most productive Antarctic coastal polynyas. The primary goal is to use these models to better understand the fundamental physical, chemical, and biological interacting processes and differences in these processes that make these systems so biologically productive yet different in some respects (e.g. size and productivity) during the present day settings. Modeling efforts will also be extended to potentially assess how these ecosystems may have functioned in the past and how they might change in the future under different physical and chemical and climatic settings. The project will advance the education of underrepresented minorities through Stanford?s Summer Undergraduate Research in Geoscience and Engineering (SURGE) Program. SURGE will provide undergraduates the opportunity to gain mentored research experiences at Stanford University in engineering and the geosciences. Old Dominion University also will utilize an outreach programs for local public and private schools as well as an ongoing program supporting the Boy Scout Oceanography merit badge program to create outreach and education impacts. Polynyas (areas of open water surrounded by sea ice) are disproportionately productive regions of polar ecosystems, yet controls on their high rates of production are not well understood. This project will provide quantitative assessments of the physical and chemical processes that control phytoplankton abundance and productivity within polynyas, how these differ for different polynyas, and how polynyas may change in the future. Of particular interest are the interactions among processes within the polynyas and the summertime melting of nearby ice sheets, including the Thwaites and Pine Island glaciers. In this proposed study, we will develop a set of comprehensive, high resolution coupled physical-biological models and implement these for three major, but diverse, Antarctic polynyas. These polynyas, the Ross Sea polynya, the Amundsen polynya, and Pine Island polynya, account for \u003e50% of the total Antarctic polynya production. The research questions to be addressed are: 1) What environmental factors exert the greatest control of primary production in polynyas around Antarctica? 2) What are the controlling physics that leads to the heterogeneity of dissolved iron (dFe) supply to the euphotic zone in polynyas around the Antarctic continental shelf? What effect does this have on local rates of primary production? 3) What are the likely changes in the supply of dFe to the euphotic zone in the next several decades due to climate-induced changes in the physics (winds, sea-ice, ice shelf basal melt, cross-shelf exchange, stratification and vertical mixing) and how will this affect primary productivity around the continent? The Ross Sea, Amundsen, and Pine Island polynyas are some of the best-sampled polynyas in Antarctica, facilitating model parameterization and validation. Furthermore, these polynyas differ widely in their size, location, sea ice dynamics, relationship to melting ice shelves, and distance from the continental shelf break, making them ideal case studies. For comparison, the western Antarctic Peninsula (wAP), a productive continental shelf where polynyas are a relatively minor contributor to biological production, will also be modeled. Investigating specific processes within different types Antarctic coastal waters will provide a better understand of how these important biological oases function and how they might change under different environmental conditions.", "east": 180.0, "geometry": "POINT(0 -89.999)", "instruments": null, "is_usap_dc": true, "keywords": "Trace Metal; AMD; PELAGIC; POLYNYAS; PHYTOPLANKTON; MODELS; Amd/Us; USAP-DC; MICROALGAE; USA/NSF; Polynya; TRACE ELEMENTS; ICE SHEETS; Antarctica", "locations": "Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Organisms and Ecosystems; Antarctic Organisms and Ecosystems", "paleo_time": null, "persons": "van Dijken, Gert; Arrigo, Kevin; Dinniman, Michael; Hofmann, Eileen", "platforms": "OTHER \u003e MODELS \u003e MODELS", "repo": "BCO-DMO", "repositories": "BCO-DMO", "science_programs": null, "south": -90.0, "title": "Collaborative Research: Elucidating Environmental Controls of Productivity in Polynas and the Western Antarctic Peninsula", "uid": "p0010175", "west": -180.0}, {"awards": "1643353 Christianson, Knut; 1643301 Gerbi, Christopher", "bounds_geometry": null, "dataset_titles": "ImpDAR: an impulse radar processor; SeidarT; South Pole Lake ApRES Radar; South Pole Lake GNSS; South Pole Lake: ground-based ice-penetrating radar", "datasets": [{"dataset_uid": "200203", "doi": "", "keywords": null, "people": null, "repository": "Uni. Washington ResearchWorks Archive", "science_program": null, "title": "South Pole Lake: ground-based ice-penetrating radar", "url": "http://hdl.handle.net/1773/45293"}, {"dataset_uid": "601503", "doi": "10.15784/601503", "keywords": "Antarctica; Apres; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; South Pole; Subglacial Lakes; Vertical Velocity", "people": "Hills, Benjamin", "repository": "USAP-DC", "science_program": null, "title": "South Pole Lake ApRES Radar", "url": "https://www.usap-dc.org/view/dataset/601503"}, {"dataset_uid": "200244", "doi": " https://zenodo.org/badge/latestdoi/382590632", "keywords": null, "people": null, "repository": "GitHub", "science_program": null, "title": "SeidarT", "url": "https://github.com/UMainedynamics/SeidarT"}, {"dataset_uid": "601502", "doi": "10.15784/601502", "keywords": "Antarctica; Glaciers/ice Sheet; Glaciers/Ice Sheet; Glaciology; GNSS; GPS; GPS Data; South Pole; Subglacial Lakes", "people": "Hills, Benjamin", "repository": "USAP-DC", "science_program": null, "title": "South Pole Lake GNSS", "url": "https://www.usap-dc.org/view/dataset/601502"}, {"dataset_uid": "200202", "doi": "http://doi.org/10.5281/zenodo.3833057", "keywords": null, "people": null, "repository": "GitHub", "science_program": null, "title": "ImpDAR: an impulse radar processor", "url": "https://www.github.com/dlilien/ImpDAR"}], "date_created": "Wed, 17 Feb 2021 00:00:00 GMT", "description": "Gerbi/1643301 This award supports a project to develop software that will allow researchers considering seismic or radar field surveys to test, ahead of time, whether the data they plan to collect will have sufficient resolution to measure the natural variations in the mechanical properties of ice, which determine the response of flowing ice to changing climatic conditions. The mechanical properties of ice depend largely on the temperature and the orientation of the crystals that make up the ice. The most accurate method for measuring ice crystal orientation and temperature is through drilling and direct analysis of an ice core. However, this method is very costly, time-consuming, and limited in spatial coverage. Geophysical techniques, such as seismic and radar, can cover much more area, but we have little knowledge about the practical limitations of these techniques as they relate to calculating mechanical properties. This project addresses that knowledge gap through construction of a computational toolbox that will allow accurate assessment of the ability of geophysical surveys to image crystal orientation and ice temperature. Researchers can then use these tools to adjust the field survey plans to maximize the return on investment. By working to improve the efficiency and effectiveness of future geophysical work related to glacial flow, this proposal will improve scientists? ability to quantify sea-level variations within the larger context of climate change. The project includes building new user-friendly, publicly accessible software and instructional modules. The work will provide training for graduate and undergraduate students, who will play a role in research and develop instructional materials. Ice viscosity, the resistance of ice to flow, exerts significant control over ice velocity. Therefore, mapping ice viscosity is important for understanding the current and future behavior of glaciers and ice sheets. To do so, scientists must determine the temperature and crystal orientation fabric throughout the ice. Seismic and radar techniques can survey large areas quickly, and thus are promising, yet not fully tested, methods to efficiently measure the thermal and mechanical structure of flowing ice. As part of this project, scientists will develop and use a computational framework to quantify the degree to which seismic and radar techniques can resolve the crystal orientation fabric and temperature of streaming ice, and then test how sensitive ice flow is to the attendant uncertainty. To meet these goals, a numerical toolbox will be built which will allow the glacier/ice stream geometry and physical properties (temperature, crystal orientation fabric, density and acidity) to be varied. The toolbox will be capable of both creating synthetic radar and seismic profiles through forward modeling and inverting synthetic profiles to allow evaluation of how well geophysical techniques can image the original thermal and mechanical structure. These simulated radar and seismic data will allow scientists to better quantify the influence of the variability in mechanical properties of the ice on flow velocities and patterns. The results of this work will guide planning for future field campaigns, making them more effective and efficient. This project does not require fieldwork in the Antarctic.", "east": null, "geometry": null, "instruments": null, "is_usap_dc": true, "keywords": "United States Of America; GLACIERS/ICE SHEETS; USAP-DC; GLACIER MOTION/ICE SHEET MOTION; GLACIER THICKNESS/ICE SHEET THICKNESS; ICE SHEETS; South Pole; USA/NSF; AMD; GLACIER TOPOGRAPHY/ICE SHEET TOPOGRAPHY; FIELD SURVEYS; Amd/Us", "locations": "South Pole; United States Of America", "north": null, "nsf_funding_programs": "Antarctic Glaciology; Antarctic Glaciology", "paleo_time": null, "persons": "Christianson, Knut; Gerbi, Christopher; Campbell, Seth; Vel, Senthil", "platforms": "LAND-BASED PLATFORMS \u003e FIELD SITES \u003e FIELD SURVEYS", "repo": "Uni. Washington ResearchWorks Archive", "repositories": "GitHub; Uni. Washington ResearchWorks Archive; USAP-DC", "science_programs": null, "south": null, "title": "Collaborative Research: Computational Methods Supporting Joint Seismic and Radar Inversion for Ice Fabric and Temperature in Streaming Flow", "uid": "p0010160", "west": null}, {"awards": "9725374 Bell, Robin", "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": "AWI processed ship-based Gravimeter Data from the Antarctica assembled as part of the ADGRAV Data Compilation (1990); BGR processed Gravimeter data from the Antarctica assembled as part of the ADGRAV Data Compilation (1990); CNES processed Gravimeter Data from the Antarctica (Continent) assembled as part of the ADGRAV Data Compilation (1990); Japanese processed Gravimeter Data from the Antarctica assembled as part of the ADGRAV Data Compilation (1990); Norwegian Processed ship-based Gravimeter data from the Antarctica assembled as part of the ADGRAV Data Compilation (1990); Russian processed Gravimeter data from the Antarctica assembled as part of the ADGRAV Data Compilation (1990)", "datasets": [{"dataset_uid": "601277", "doi": null, "keywords": "ADGRAV; Antarctica; Geology/Geophysics - Other; Gravimeter; Gravity; Marine Geoscience; R/v Polarstern; Weddell Sea", "people": "Bell, Robin; Jokat, Wilfred", "repository": "USAP-DC", "science_program": null, "title": "AWI processed ship-based Gravimeter Data from the Antarctica assembled as part of the ADGRAV Data Compilation (1990)", "url": "https://www.usap-dc.org/view/dataset/601277"}, {"dataset_uid": "601282", "doi": null, "keywords": "ADGRAV; Antarctica; Geology/Geophysics - Other; Gravimeter; Gravity; Marine Geoscience; Ship", "people": "Bell, Robin; Nogi, Yasufumi", "repository": "USAP-DC", "science_program": null, "title": "Japanese processed Gravimeter Data from the Antarctica assembled as part of the ADGRAV Data Compilation (1990)", "url": "https://www.usap-dc.org/view/dataset/601282"}, {"dataset_uid": "601281", "doi": null, "keywords": "ADGRAV; Antarctica; Geology/Geophysics - Other; Gravimeter; Gravity; Marine Geoscience; Ship", "people": "Damaske, Detlef; Bell, Robin", "repository": "USAP-DC", "science_program": null, "title": "BGR processed Gravimeter data from the Antarctica assembled as part of the ADGRAV Data Compilation (1990)", "url": "https://www.usap-dc.org/view/dataset/601281"}, {"dataset_uid": "601280", "doi": null, "keywords": "ADGRAV; Antarctica; Geology/Geophysics - Other; Gravimeter; Gravity; PMGRE Il-38", "people": "Andrianov, Sergei; Bell, Robin", "repository": "USAP-DC", "science_program": null, "title": "Russian processed Gravimeter data from the Antarctica assembled as part of the ADGRAV Data Compilation (1990)", "url": "https://www.usap-dc.org/view/dataset/601280"}, {"dataset_uid": "601279", "doi": null, "keywords": "ADGRAV; Antarctica; Geology/Geophysics - Other; Gravimeter; Gravity", "people": "Bell, Robin; Tronstad, Stein", "repository": "USAP-DC", "science_program": null, "title": "Norwegian Processed ship-based Gravimeter data from the Antarctica assembled as part of the ADGRAV Data Compilation (1990)", "url": "https://www.usap-dc.org/view/dataset/601279"}, {"dataset_uid": "601278", "doi": null, "keywords": "ADGRAV; Antarctica; Geology/Geophysics - Other; Gravimeter; Gravity; Marine Geoscience", "people": "Biancale, Richard; Bell, Robin", "repository": "USAP-DC", "science_program": null, "title": "CNES processed Gravimeter Data from the Antarctica (Continent) assembled as part of the ADGRAV Data Compilation (1990)", "url": "https://www.usap-dc.org/view/dataset/601278"}], "date_created": "Mon, 13 Apr 2020 00:00:00 GMT", "description": "9725374 Bell The goal of this project is to develop a Web-based Antarctic gravity database to globally facilitate scientific use of gravity data in Antarctic studies. This compilation will provide an important new tool to the Antarctic Earth science community from the geologist placing field observations in a regional context to the seismologist studying continental scale mantle structure. The gravity database will complement the parallel projects underway to develop new continental bedrock (BEDMAP) and magnetic (ADMAP) maps of Antarctica. An international effort will parallel these ongoing projects in contacting the Antarctic geophysical community, identifying existing data sets, agreeing upon protocols for the use of data contributed to the database and finally assembling a new continental scale gravity map. The project has three principal stages. The first stage will be to investigate the accuracy and resolution of currently available high resolution satellite derived gravity data and quantify spatial variations in both accuracy and resolution. The second stage of this project will be to develop an interactive method of accessing existing satellite, shipboard, land based, and airborne gravity data via a Web based interface. The Lamont-Doherty Earth Observatory RIDGE Multi-beam bathymetry database will be used as a template for this project. The existing online RIDGE database allows users to access the raw data, the gridded data and raster images of the seafloor topography. A similar structure will be produced for the existing Antarctic gravity data. The third stage of this project will be to develop an international program to compile existing gravity data south of 60 S. This project will be discussed with leaders of both the ADMAP and BEDMAP efforts and the appropriate working groups of SCAR. A preliminary map of existing gravity data will be presented at the Antarctic Earth Science meeting in Wellington in 1999. A gravity working group meeting will be held in conjunction with the Wellington meeting to reach a consensus on the protocols for placing data into the database. By the completion of the project, existing gravity data will be identified and international protocols for placing this data in the on-line database will have been defined. The process of archiving the gravity data into the database will be an ongoing project as additional data become available.", "east": 180.0, "geometry": "POINT(0 -89.999)", "instruments": "NOT APPLICABLE \u003e NOT APPLICABLE \u003e NOT APPLICABLE", "is_usap_dc": true, "keywords": "NOT APPLICABLE; Antarctica; USAP-DC; GRAVITY FIELD", "locations": "Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Earth Sciences", "paleo_time": null, "persons": "Bell, Robin; Small, Christopher", "platforms": "OTHER \u003e NOT APPLICABLE \u003e NOT APPLICABLE", "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -90.0, "title": "The Development of a New Generation Gravity Map of Antarctica", "uid": "p0010092", "west": -180.0}, {"awards": "1245737 Cassano, John; 1245663 Lazzara, Matthew", "bounds_geometry": "POLYGON((161.714 -77.522,162.6077 -77.522,163.5014 -77.522,164.3951 -77.522,165.2888 -77.522,166.1825 -77.522,167.0762 -77.522,167.9699 -77.522,168.8636 -77.522,169.7573 -77.522,170.651 -77.522,170.651 -77.6702,170.651 -77.8184,170.651 -77.9666,170.651 -78.1148,170.651 -78.263,170.651 -78.4112,170.651 -78.5594,170.651 -78.7076,170.651 -78.8558,170.651 -79.004,169.7573 -79.004,168.8636 -79.004,167.9699 -79.004,167.0762 -79.004,166.1825 -79.004,165.2888 -79.004,164.3951 -79.004,163.5014 -79.004,162.6077 -79.004,161.714 -79.004,161.714 -78.8558,161.714 -78.7076,161.714 -78.5594,161.714 -78.4112,161.714 -78.263,161.714 -78.1148,161.714 -77.9666,161.714 -77.8184,161.714 -77.6702,161.714 -77.522))", "dataset_titles": "SUMO unmanned aerial system (UAS) atmospheric data", "datasets": [{"dataset_uid": "601054", "doi": "10.15784/601054", "keywords": "Antarctica; Atmosphere; Meteorology; Navigation; UAS", "people": "Cassano, John", "repository": "USAP-DC", "science_program": null, "title": "SUMO unmanned aerial system (UAS) atmospheric data", "url": "https://www.usap-dc.org/view/dataset/601054"}], "date_created": "Wed, 22 Nov 2017 00:00:00 GMT", "description": "The Antarctic Automatic Weather Station (AAWS) network, first commenced in 1978, is the most extensive ground meteorological network in the Antarctic, approaching its 30th year at several of its installations. Its prime focus as a long term observational record is to measure the near surface weather and climatology of the Antarctic atmosphere. AWS sites measure air-temperature, pressure, wind speed and direction at a nominal surface height of 3m. Other parameters such as relative humidity and snow accumulation may also be measured. Observational data from the AWS are collected via the DCS Argos system aboard either NOAA or MetOp polar orbiting satellites and thus made available in near real time to operational and synoptic weather forecasters. The surface observations from the AAWS network are important records for recent climate change and meteorological processes. The surface observations from the AAWS network are also used operationally, and in the planning of field work. The surface observations from the AAWS network have been used to check on satellite and remote sensing observations.", "east": 170.651, "geometry": "POINT(166.1825 -78.263)", "instruments": "IN SITU/LABORATORY INSTRUMENTS \u003e GAUGES \u003e ADG; IN SITU/LABORATORY INSTRUMENTS \u003e CURRENT/WIND METERS \u003e ANEMOMETERS; IN SITU/LABORATORY INSTRUMENTS \u003e PRESSURE/HEIGHT METERS \u003e BAROMETERS; IN SITU/LABORATORY INSTRUMENTS \u003e TEMPERATURE/HUMIDITY SENSORS \u003e HUMIDITY SENSORS; IN SITU/LABORATORY INSTRUMENTS \u003e PROBES \u003e SNOWPACK TEMPERATURE PROBE; IN SITU/LABORATORY INSTRUMENTS \u003e TEMPERATURE/HUMIDITY SENSORS \u003e TEMPERATURE SENSORS; IN SITU/LABORATORY INSTRUMENTS \u003e TEMPERATURE/HUMIDITY SENSORS \u003e THERMISTORS \u003e THERMISTORS; EARTH REMOTE SENSING INSTRUMENTS \u003e PASSIVE REMOTE SENSING \u003e POSITIONING/NAVIGATION \u003e RADIO \u003e ARGOS", "is_usap_dc": true, "keywords": "Automated Weather Station; Antarctica; AWS; FIXED OBSERVATION STATIONS", "locations": "Antarctica", "north": -77.522, "nsf_funding_programs": "Antarctic Ocean and Atmospheric Sciences; Antarctic Ocean and Atmospheric Sciences", "paleo_time": null, "persons": "Lazzara, Matthew; Cassano, John; Costanza, Carol", "platforms": "LAND-BASED PLATFORMS \u003e PERMANENT LAND SITES \u003e FIXED OBSERVATION STATIONS", "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": -79.004, "title": "Collaborative Research: Antarctic Automatic Weather Station Program 2013-2017", "uid": "p0000363", "west": 161.714}, {"awards": "0636873 Lazzara, Matthew", "bounds_geometry": "POLYGON((-71 85,-65.8 85,-60.6 85,-55.4 85,-50.2 85,-45 85,-39.8 85,-34.6 85,-29.4 85,-24.2 85,-19 85,-19 82.5,-19 80,-19 77.5,-19 75,-19 72.5,-19 70,-19 67.5,-19 65,-19 62.5,-19 60,-24.2 60,-29.4 60,-34.6 60,-39.8 60,-45 60,-50.2 60,-55.4 60,-60.6 60,-65.8 60,-71 60,-71 62.5,-71 65,-71 67.5,-71 70,-71 72.5,-71 75,-71 77.5,-71 80,-71 82.5,-71 85))", "dataset_titles": "Access data.", "datasets": [{"dataset_uid": "001302", "doi": "", "keywords": null, "people": null, "repository": "AMRDC", "science_program": null, "title": "Access data.", "url": "ftp://amrc.ssec.wisc.edu"}], "date_created": "Thu, 01 Jan 1970 00:00:00 GMT", "description": "This is a three-year project to maintain and augment as necessary, the network of approximately fifty automatic weather stations established on the antarctic continent and on several surrounding islands. These weather stations measure surface wind, pressure, temperature, humidity, and in some instances other atmospheric variables, such as snow accumulation and incident solar radiation, and report these via satellite to a number of ground stations. The data are used for operational weather forecasting in support of the United States Antarctic program, for global forecasting through the WMO Global Telecommunications System, for climatological records, and for research purposes. The AWS network, which began as a small-scale program in 1980, has been extremely reliable and has proven indispensable for both forecasting and research purposes.", "east": 180.0, "geometry": "POINT(0 -89.999)", "instruments": "IN SITU/LABORATORY INSTRUMENTS \u003e GAUGES \u003e ADG; IN SITU/LABORATORY INSTRUMENTS \u003e CURRENT/WIND METERS \u003e ANEMOMETERS; IN SITU/LABORATORY INSTRUMENTS \u003e PRESSURE/HEIGHT METERS \u003e BAROMETERS; IN SITU/LABORATORY INSTRUMENTS \u003e TEMPERATURE/HUMIDITY SENSORS \u003e HUMIDITY SENSORS; IN SITU/LABORATORY INSTRUMENTS \u003e PROBES \u003e SNOWPACK TEMPERATURE PROBE; IN SITU/LABORATORY INSTRUMENTS \u003e TEMPERATURE/HUMIDITY SENSORS \u003e TEMPERATURE SENSORS; IN SITU/LABORATORY INSTRUMENTS \u003e TEMPERATURE/HUMIDITY SENSORS \u003e THERMISTORS \u003e THERMISTORS; EARTH REMOTE SENSING INSTRUMENTS \u003e PASSIVE REMOTE SENSING \u003e POSITIONING/NAVIGATION \u003e RADIO \u003e ARGOS", "is_usap_dc": false, "keywords": "Automated Weather Station; FIXED OBSERVATION STATIONS; Antarctica; AWS", "locations": "Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Ocean and Atmospheric Sciences", "paleo_time": null, "persons": "Lazzara, Matthew; Costanza, Carol", "platforms": "LAND-BASED PLATFORMS \u003e PERMANENT LAND SITES \u003e FIXED OBSERVATION STATIONS", "repo": "AMRDC", "repositories": "AMRDC", "science_programs": null, "south": -90.0, "title": "Collaborative Research: Antarctic Automatic Weather Station Program: 2007-2010", "uid": "p0000284", "west": -180.0}]

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