{"dp_type": "Project", "free_text": "SURFACE PRESSURE"}
[{"awards": "1853291 Girton, James; 1558448 Girton, James", "bounds_geometry": "POLYGON((-70 -58,-69 -58,-68 -58,-67 -58,-66 -58,-65 -58,-64 -58,-63 -58,-62 -58,-61 -58,-60 -58,-60 -58.8,-60 -59.6,-60 -60.4,-60 -61.2,-60 -62,-60 -62.8,-60 -63.6,-60 -64.4,-60 -65.2,-60 -66,-61 -66,-62 -66,-63 -66,-64 -66,-65 -66,-66 -66,-67 -66,-68 -66,-69 -66,-70 -66,-70 -65.2,-70 -64.4,-70 -63.6,-70 -62.8,-70 -62,-70 -61.2,-70 -60.4,-70 -59.6,-70 -58.8,-70 -58))", "dataset_titles": "APL-UW Southern Ocean Wave Glider Data from 2019/20 Mission; Data from 2016 WG launch cruise LMG1612; Data from 2017 WG recovery cruise LMG1703; Data from 2019 WG launch cruise LMG1909; Data from 2020 WG recovery cruise LMG2002; Expedition Data; Expedition data of LMG1612; Expedition Data of LMG1909; LMG2002 Expedtition Data; Wave Glider Data from 2016/17 Mission", "datasets": [{"dataset_uid": "200431", "doi": null, "keywords": null, "people": null, "repository": "R2R", "science_program": null, "title": "Expedition Data of LMG1909", "url": "https://www.rvdata.us/search/cruise/LMG1909"}, {"dataset_uid": "200448", "doi": "", "keywords": null, "people": null, "repository": "University of Washington", "science_program": null, "title": "Wave Glider Data from 2016/17 Mission", "url": "http://faculty.washington.edu/jmt3rd/Waveglider/"}, {"dataset_uid": "200222", "doi": "10.7284/908802", "keywords": null, "people": null, "repository": "R2R", "science_program": null, "title": "LMG2002 Expedtition Data", "url": "https://www.rvdata.us/search/cruise/LMG2002"}, {"dataset_uid": "601902", "doi": "10.15784/601902", "keywords": "Antarctica; Cryosphere; Drake Passage; LMG1909; LMG2002; R/v Laurence M. Gould; Temperature; Wave Glider; Wind Speed", "people": "Girton, James", "repository": "USAP-DC", "science_program": null, "title": "APL-UW Southern Ocean Wave Glider Data from 2019/20 Mission", "url": "https://www.usap-dc.org/view/dataset/601902"}, {"dataset_uid": "001365", "doi": "", "keywords": null, "people": null, "repository": "R2R", "science_program": null, "title": "Expedition Data", "url": "https://www.rvdata.us/search/cruise/LMG1703"}, {"dataset_uid": "200444", "doi": "", "keywords": null, "people": null, "repository": "R2R", "science_program": null, "title": "Data from 2016 WG launch cruise LMG1612", "url": "https://www.rvdata.us/search/cruise/LMG1612"}, {"dataset_uid": "200429", "doi": "", "keywords": null, "people": null, "repository": "R2R", "science_program": null, "title": "Expedition data of LMG1612", "url": "https://www.rvdata.us/search/cruise/LMG1612"}, {"dataset_uid": "200445", "doi": "", "keywords": null, "people": null, "repository": "R2R", "science_program": null, "title": "Data from 2019 WG launch cruise LMG1909", "url": "https://www.rvdata.us/search/cruise/LMG1909"}, {"dataset_uid": "200446", "doi": "", "keywords": null, "people": null, "repository": "R2R", "science_program": null, "title": "Data from 2017 WG recovery cruise LMG1703", "url": "https://www.rvdata.us/search/cruise/LMG1703"}, {"dataset_uid": "200447", "doi": "10.7284/908802", "keywords": null, "people": null, "repository": "R2R", "science_program": null, "title": "Data from 2020 WG recovery cruise LMG2002", "url": "https://www.rvdata.us/search/cruise/LMG2002"}], "date_created": "Wed, 15 Jan 2025 00:00:00 GMT", "description": "Surface and upper-ocean processes in the Antarctic Circumpolar Current (ACC) play an important role in ocean heat transport, air-sea gas fluxes (such as pCO2) and in sea-ice formation. The net of these in turn modulate global climate, sea level rise and global circulation. This project continues the field development of a surface autonomous vehicle (https://www.liquid-robotics.com/wave-glider/overview/ ) to better measure and study these processes in the remote Southern Ocean, where continuous data is otherwise very difficult to obtain. Mobile autonomous surface vehicles, powered by sunlight and wave action provide a very cost effective manner of solving the problem of obtaining unattended observational coverage in the remote Southern Ocean. The project will support ongoing education and outreach efforts by the PIs including school presentations, visits to science centers and the development of educational materials. The WaveGlider has an established track record of navigating successful spatial surveys and positioned time series measurements in otherwise inhospitable waters and sea-states. The study includes the addition of some new measurement capabilities such as an (upper mixed) layer profiling CTD winch, a high frequency acoustic Doppler turbulence system, and a biogeochemical chlorophyll fluorescence sensor. This augmented instrumentation package will be used for a set of Austral summer season experiments observing ocean-shelf exchange along with frontal air-sea interactions in the vicinity of the West Antarctic Peninsula. 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(-65 -62)", "instruments": "IN SITU/LABORATORY INSTRUMENTS \u003e CURRENT/WIND METERS \u003e CURRENT METERS; IN SITU/LABORATORY INSTRUMENTS \u003e CURRENT/WIND METERS \u003e SONIC ANEMOMETER; IN SITU/LABORATORY INSTRUMENTS \u003e PHOTON/OPTICAL DETECTORS \u003e CAMERAS \u003e CAMERA; EARTH REMOTE SENSING INSTRUMENTS \u003e ACTIVE REMOTE SENSING \u003e PROFILERS/SOUNDERS \u003e ACOUSTIC SOUNDERS \u003e ECHO SOUNDERS; EARTH REMOTE SENSING INSTRUMENTS \u003e PASSIVE REMOTE SENSING \u003e POSITIONING/NAVIGATION \u003e GPS \u003e GPS; IN SITU/LABORATORY INSTRUMENTS \u003e CHEMICAL METERS/ANALYZERS \u003e FLUOROMETERS; IN SITU/LABORATORY INSTRUMENTS \u003e MAGNETIC/MOTION SENSORS \u003e GRAVIMETERS \u003e GRAVIMETERS; IN SITU/LABORATORY INSTRUMENTS \u003e PROFILERS/SOUNDERS \u003e ACOUSTIC SOUNDERS \u003e MBES; IN SITU/LABORATORY INSTRUMENTS \u003e PROFILERS/SOUNDERS \u003e CTD; IN SITU/LABORATORY INSTRUMENTS \u003e PROFILERS/SOUNDERS \u003e THERMOSALINOGRAPHS; IN SITU/LABORATORY INSTRUMENTS \u003e RECORDERS/LOGGERS \u003e AWS", "is_usap_dc": true, "keywords": "SEA SURFACE TEMPERATURE; WAVE GLIDER; TURBULENCE; SURFACE PRESSURE; OCEAN MIXED LAYER; LMG1703; Palmer Station; SALINITY/DENSITY; SURFACE WINDS; OCEAN CURRENTS; HEAT FLUX; SURFACE AIR TEMPERATURE; HUMIDITY; Drake Passage; R/V NBP; R/V LMG; Antarctic Peninsula; WIND STRESS", "locations": "Drake Passage; Antarctic Peninsula; Palmer Station", "north": -58.0, "nsf_funding_programs": "Antarctic Ocean and Atmospheric Sciences; Antarctic Ocean and Atmospheric Sciences", "paleo_time": null, "persons": "Girton, James; Thomson, Jim", "platforms": "WATER-BASED PLATFORMS \u003e UNCREWED VEHICLES \u003e SURFACE \u003e WAVE GLIDER; WATER-BASED PLATFORMS \u003e VESSELS \u003e SURFACE \u003e R/V LMG; WATER-BASED PLATFORMS \u003e VESSELS \u003e SURFACE \u003e R/V NBP", "repo": "R2R", "repositories": "R2R; University of Washington; USAP-DC", "science_programs": null, "south": -66.0, "title": "Wave Glider Observations of Surface Fluxes and Mixed-layer Processes in the Southern Ocean", "uid": "p0010493", "west": -70.0}, {"awards": "0944018 Lazzara, Matthew; 0943952 Cassano, John", "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 Automatic Weather Stations", "datasets": [{"dataset_uid": "200375", "doi": "https://doi.org/10.48567/1hn2-nw60", "keywords": null, "people": null, "repository": "Antarctic Meteorological Research and Data Center", "science_program": null, "title": "Antarctic Automatic Weather Stations", "url": "https://amrdcdata.ssec.wisc.edu/dataset?q=0944018+"}], "date_created": "Fri, 20 Oct 2023 00:00:00 GMT", "description": "The Antarctic Automatic Weather Station (AWS) network, first commenced in 1978, is the most extensive meteorological observing system on the Antarctic continent, approaching its 30th year at many of its key sites. Its prime focus as a long term observational record is vital to the measurement of the near surface climatology of the Antarctic atmosphere. AWS units 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 taken. Observational data from the AWS are collected via the DCS Argos system aboard either NOAA or MetOp polar orbiting satellites and thus made available globally, in near real time via the GTS (Global Telecommunications System), to operational and synoptic weather forecasters. The surface observations from the AWS network also are often used to check on satellite and remote sensing observations, and the simulations of Global Climate Models (GCMs). Research instances of its use in this project include continued development of the climatology of the Antarctic atmosphere and surface wind studies of the Ross Ice Shelf. The AWS observations benefit the broader earth system science community, supporting research activities ranging from paleoclimate studies to penguin phenology.", "east": 180.0, "geometry": "POINT(0 -89.999)", "instruments": null, "is_usap_dc": true, "keywords": "Antarctica; DATA COLLECTIONS; SURFACE PRESSURE; HUMIDITY; AIR TEMPERATURE; FIELD SITES; LAND-BASED PLATFORMS; SURFACE WINDS; WEATHER STATIONS", "locations": "Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Ocean and Atmospheric Sciences; Antarctic Ocean and Atmospheric Sciences", "paleo_time": null, "persons": "Lazzara, Matthew; Cassano, John", "platforms": "LAND-BASED PLATFORMS; LAND-BASED PLATFORMS \u003e FIELD SITES; LAND-BASED PLATFORMS \u003e FIELD SITES \u003e DATA COLLECTIONS; LAND-BASED PLATFORMS \u003e PERMANENT LAND SITES \u003e WEATHER STATIONS", "repo": "Antarctic Meteorological Research and Data Center", "repositories": "Antarctic Meteorological Research and Data Center", "science_programs": null, "south": -90.0, "title": "Collaborative Research: Antarctic Automatic Weather Station Program", "uid": "p0010438", "west": -180.0}, {"awards": "2301363 Kurth, Andrew; 2301362 Lazzara, Matthew", "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": "AMRC Automatic Weather Station project data, 1980 - present (ongoing).", "datasets": [{"dataset_uid": "200414", "doi": "10.48567/1hn2-nw60", "keywords": null, "people": null, "repository": "Antarctic Meteorological Research and Data Center", "science_program": null, "title": "AMRC Automatic Weather Station project data, 1980 - present (ongoing).", "url": "https://amrdcdata.ssec.wisc.edu/group/about/automatic-weather-station-project"}], "date_created": "Fri, 20 Oct 2023 00:00:00 GMT", "description": "The Antarctic Automatic Weather Station (AWS) program is a long-term automated surface weather observing network measuring key standard meteorological parameters, including temperature, humidity, wind speed and direction, barometric pressure, solar radiation, and snow accumulation. Observations from the network support weather forecasting, science research, and educational activities, and all data collected are made available to the public. This project will continue to maintain and operate the existing network. These data provide some of the only available weather observations in this very remote portion of the Earth. To ensure fidelity, observations are reviewed and checked for errors by a combination of automated methods and expert review, enabling the data to be used in a wide range of research areas. The project will be overseen by a team of scientists, researchers, and students, and a newly created AWS Advisory Board will provide independent input and guidance. The activities for this project will be focused on the continued operation of the AWS network, establishment of an AWS Advisory Board, student engagement and outreach activities. This project will continue to maintain the AWS systems while upgrading the real-time processing of meteorological data from the AWS network. The team will continue to adapt to changes communication methods to ensure that data is distributed widely and in a timely manner. Prior NSF investments in the Polar Climate and Weather Station (PCWS) are leveraged to develop a robust production version that can be reliably used year-round in Antarctica. AWS observations will be quality-controlled and placed into a database where the public will be able to search and select subsets of observations. To resolve conflicting radiation shield setups for temperature observations, the team plans to test different radiation shields (with and without aspiration) deployed for one year at South Pole Station. The project will be advised by an independent group of diverse peers through a newly developed AWS Advisory Board. The team will incorporate students from all levels in all aspects of the project, including in the research design, engineering and productions of the PCWS, and in field deployments. A concerted effort to engage the public will be undertaken via scaled-up interactions with television meteorologists from several states across the US to bring Antarctica to the public. 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": "AIR TEMPERATURE; HUMIDITY; SURFACE WINDS; INCOMING SOLAR RADIATION; Antarctica; SURFACE PRESSURE", "locations": "Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Integrated System Science; Antarctic Ocean and Atmospheric Sciences; Antarctic Ocean and Atmospheric Sciences", "paleo_time": null, "persons": "Lazzara, Matthew; Welhouse, Lee J; Mikolajczyk, David", "platforms": null, "repo": "Antarctic Meteorological Research and Data Center", "repositories": "Antarctic Meteorological Research and Data Center", "science_programs": null, "south": -90.0, "title": "Collaborative Research: The Automatic Weather Station Program: Antarctic Meteorological Sentinel Service 2024-2027", "uid": "p0010439", "west": -180.0}, {"awards": "1625904 TBD", "bounds_geometry": "POLYGON((166 -77.5,166.4 -77.5,166.8 -77.5,167.2 -77.5,167.6 -77.5,168 -77.5,168.4 -77.5,168.8 -77.5,169.2 -77.5,169.6 -77.5,170 -77.5,170 -77.75,170 -78,170 -78.25,170 -78.5,170 -78.75,170 -79,170 -79.25,170 -79.5,170 -79.75,170 -80,169.6 -80,169.2 -80,168.8 -80,168.4 -80,168 -80,167.6 -80,167.2 -80,166.8 -80,166.4 -80,166 -80,166 -79.75,166 -79.5,166 -79.25,166 -79,166 -78.75,166 -78.5,166 -78.25,166 -78,166 -77.75,166 -77.5))", "dataset_titles": "Sarah PCWS unmodified ten-minute observational data, 2020 - present (ongoing).; Skomik PCWS unmodified ten-minute observational data, 2022 - present (ongoing).", "datasets": [{"dataset_uid": "200340", "doi": "https://doi.org/10.48567/h6qx-0613", "keywords": null, "people": null, "repository": "AMRDC", "science_program": null, "title": "Skomik PCWS unmodified ten-minute observational data, 2022 - present (ongoing).", "url": "https://amrdcdata.ssec.wisc.edu/dataset/skomik-pcws-unmodified-ten-minute-observational-data-2022-present-ongoing"}, {"dataset_uid": "200341", "doi": "https://doi.org/10.48567/q4eh-nm67", "keywords": null, "people": null, "repository": "AMRDC", "science_program": null, "title": "Sarah PCWS unmodified ten-minute observational data, 2020 - present (ongoing).", "url": "https://amrdcdata.ssec.wisc.edu/dataset/sarah-pcws-unmodified-ten-minute-observational-data-2022-present-ongoing"}], "date_created": "Mon, 12 Dec 2022 00:00:00 GMT", "description": "Our knowledge of Antarctic weather and climate relies on only a handful of direct observing stations located on this harsh and remote continent. This observing system reports meteorological measurements from an existing network of automatic weather stations (AWS) spread across a vast area. This MRI project will enable the development, testing and eventual deployment of a next generation of polar automatic climate and weather observing stations for unattended use in the Antarctic. The proposed new Automatic Weather Station (AWS) system will enhance the capabilities and accuracy of the meteorological observations, enabling climate quality measurements. This project will involve development of a more capable instrumentation core, with two major goals. The first goal is to lower the cost for an AWS electronic core to 3 times less than currently employed systems. The second is to enable an onboard temperature calibration capability, an innovative development for the Antarctic AWS. The capability for onboard calibration will add confidence in the critical climate measure of ambient temperature, along with other standard meteorological parameters. Observations made by a modernized AWS network will inform and extend future numerical climate modeling efforts, improve operational weather forecasts, capture weather phenomena, and support environmental science research in other disciplines. A theme of the project is the inclusion of community college students in all aspects of the effort. With an eye on training the next generation of research instrumentation expertise, while involving other science, technology, engineering and mathematics (STEM) fields, undergraduate students will be involved in the development, testing and deployment of new AWS systems. As well as reporting, data analysis and publication of scientific knowledge, students intending to transfer to a 4-year university, as well as those pursuing electronics or electrical engineering associate degrees will be introduced to weather and climate topics. This MRI award was supported with funds from the Division of Polar Programs and the Division of Atmospheric and Geospace Sciences, both of the Directorate of Geosciences.", "east": 170.0, "geometry": "POINT(168 -78.75)", "instruments": null, "is_usap_dc": true, "keywords": "ATMOSPHERIC WINDS; Madison Area Technical College; SNOW/ICE; SURFACE PRESSURE; ATMOSPHERIC RADIATION; HUMIDITY; AIR TEMPERATURE; METEOROLOGICAL STATIONS; WEATHER STATIONS", "locations": "Madison Area Technical College", "north": -77.5, "nsf_funding_programs": null, "paleo_time": null, "persons": "Lazzara, Matthew; Cassano, John; L\u0027\u0027Ecuyer, Tristan; Kulie, Mark", "platforms": "LAND-BASED PLATFORMS \u003e PERMANENT LAND SITES \u003e METEOROLOGICAL STATIONS; LAND-BASED PLATFORMS \u003e PERMANENT LAND SITES \u003e WEATHER STATIONS", "repo": "AMRDC", "repositories": "AMRDC", "science_programs": null, "south": -80.0, "title": "MRI: Development of a Modern Polar Climate and Weather Automated Observing System", "uid": "p0010396", "west": 166.0}, {"awards": null, "bounds_geometry": null, "dataset_titles": null, "datasets": null, "date_created": "Tue, 23 Aug 2022 00:00:00 GMT", "description": "The Antarctic Automatic Weather Station network is the most extensive surficial meteorological network in the Antarctic, approaching its 30th year at several of its data stations. Its prime focus is also as a long term observational record, to measure the near surface weather and climatology of the Antarctic atmosphere. Antarctic Automatic Weather Stations measure air-temperature, pressure, wind speed and direction at a nominal surface height of ~ 2-3m. Other parameters such as relative humidity and snow accumulation may also be taken. The surface observations from the Antarctic Automatic Weather Station network are also used operationally, for forecast purposes, and in the planning of field work. Surface observations made from the network have also been used to check the validity of satellite and remote sensing observations. The proposed effort informs our understanding of the Antarctic environment and its weather and climate trends over the past few decades. The research has implications for potential future operations and logistics for the US Antarctic Program during the winter season. As a part of this endeavor, all project participants will engage in a coordinated outreach effort to bring the famous Antarctic \"cold\" to public seminars, K-12, undergraduate, and graduate classrooms, and senior citizen centers.\u003cbr/\u003e\u003cbr/\u003eThis project proposes to use the surface conditions observed by the Antarctic Automatic Weather Station (AWS) network to determine how large-scale modes of climate variability impact Antarctic weather and climate, how the surface observations from the AWS network are linked to surface layer and boundary layer processes. Consideration will also be given to low temperature physical environments such as may be encountered during Antarctic winter, and the best ways to characterize these, and other ?cold pool? phenomena. Observational data from the AWS are collected via Iridium network, or DCS Argos aboard either NOAA or MetOp polar orbiting satellites and thus made available in near real time to operational and synoptic weather forecasters over the GTS (WMO Global Telecommunication System). Being able to support improvements in numerical weather prediction and climate modeling will have lasting impacts on Antarctic science and logistical support.\u003cbr/\u003e\u003cbr/\u003eThis 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": "HUMIDITY; SURFACE WINDS; SURFACE PRESSURE; INCOMING SOLAR RADIATION; SURFACE AIR TEMPERATURE", "locations": null, "north": null, "nsf_funding_programs": null, "paleo_time": null, "persons": null, "platforms": null, "repositories": null, "science_programs": null, "south": null, "title": "Collaborative Research: Antarctic Automatic Weather Station Program 2019-2022", "uid": "p0010371", "west": null}, {"awards": "1543305 Lazzara, Matthew", "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 Automatic Weather Station", "datasets": [{"dataset_uid": "200291", "doi": "https://doi.org/10.48567/1hn2-nw60", "keywords": null, "people": null, "repository": "AMRDC", "science_program": null, "title": "Antarctic Automatic Weather Station", "url": "https://amrdcdata.ssec.wisc.edu/group/about/automatic-weather-station-project"}], "date_created": "Mon, 16 May 2022 00:00:00 GMT", "description": "The Antarctic Automatic Weather Station (AWS) network 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 stations measure air-temperature, pressure, wind speed and direction at a nominal surface height of ~ 2-3m. Other parameters such as relative humidity and snow accumulation may also be taken. Observational data from the AWS are collected via Iridium network, or DCS Argos 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 made from the AAWS network have been used to check on satellite and remote sensing observations. This project proposes to use the surface conditions observed by the AWS network to determine how large-scale modes of climate variability impact Antarctic weather and climate, how the surface observations from the AWS network are linked to surface layer and boundary layer processes, and to quantify the impact of snowfall and blowing snow events. Specifically, this project proposes to improve our understanding of the processes that lead to unusual weather events and how these events are related to large-scale modes of climate variability. This project will fill a gap in knowledge of snowfall distribution, and distinguishing between snowfall and blowing snow events using a suite of precipitation sensors near McMurdo Station.", "east": 180.0, "geometry": "POINT(0 -89.999)", "instruments": null, "is_usap_dc": true, "keywords": "HUMIDITY; SURFACE PRESSURE; ATMOSPHERIC TEMPERATURE; AMD; ATMOSPHERIC PRESSURE; USA/NSF; AIR TEMPERATURE; Antarctica; USAP-DC; Amd/Us; SURFACE WINDS; SURFACE AIR TEMPERATURE; ATMOSPHERIC PRESSURE MEASUREMENTS; WEATHER STATIONS; ATMOSPHERIC WINDS", "locations": "Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Ocean and Atmospheric Sciences", "paleo_time": null, "persons": "Lazzara, Matthew", "platforms": "LAND-BASED PLATFORMS \u003e PERMANENT LAND SITES \u003e WEATHER STATIONS", "repo": "AMRDC", "repositories": "AMRDC", "science_programs": null, "south": -90.0, "title": "Collaborative Research: Antarctic Automatic Weather Station Program 2016-2019", "uid": "p0010319", "west": -180.0}]
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Project Title/Abstract/Map | NSF Award(s) | Date Created | PIs / Scientists | Dataset Links and Repositories | Abstract | Bounds Geometry | Geometry | Selected | Visible | |||||
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Wave Glider Observations of Surface Fluxes and Mixed-layer Processes in the Southern Ocean
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1853291 1558448 |
2025-01-15 | Girton, James; Thomson, Jim | Surface and upper-ocean processes in the Antarctic Circumpolar Current (ACC) play an important role in ocean heat transport, air-sea gas fluxes (such as pCO2) and in sea-ice formation. The net of these in turn modulate global climate, sea level rise and global circulation. This project continues the field development of a surface autonomous vehicle (https://www.liquid-robotics.com/wave-glider/overview/ ) to better measure and study these processes in the remote Southern Ocean, where continuous data is otherwise very difficult to obtain. Mobile autonomous surface vehicles, powered by sunlight and wave action provide a very cost effective manner of solving the problem of obtaining unattended observational coverage in the remote Southern Ocean. The project will support ongoing education and outreach efforts by the PIs including school presentations, visits to science centers and the development of educational materials. The WaveGlider has an established track record of navigating successful spatial surveys and positioned time series measurements in otherwise inhospitable waters and sea-states. The study includes the addition of some new measurement capabilities such as an (upper mixed) layer profiling CTD winch, a high frequency acoustic Doppler turbulence system, and a biogeochemical chlorophyll fluorescence sensor. This augmented instrumentation package will be used for a set of Austral summer season experiments observing ocean-shelf exchange along with frontal air-sea interactions in the vicinity of the West Antarctic Peninsula. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. | POLYGON((-70 -58,-69 -58,-68 -58,-67 -58,-66 -58,-65 -58,-64 -58,-63 -58,-62 -58,-61 -58,-60 -58,-60 -58.8,-60 -59.6,-60 -60.4,-60 -61.2,-60 -62,-60 -62.8,-60 -63.6,-60 -64.4,-60 -65.2,-60 -66,-61 -66,-62 -66,-63 -66,-64 -66,-65 -66,-66 -66,-67 -66,-68 -66,-69 -66,-70 -66,-70 -65.2,-70 -64.4,-70 -63.6,-70 -62.8,-70 -62,-70 -61.2,-70 -60.4,-70 -59.6,-70 -58.8,-70 -58)) | POINT(-65 -62) | false | false | ||||||
Collaborative Research: Antarctic Automatic Weather Station Program
|
0944018 0943952 |
2023-10-20 | Lazzara, Matthew; Cassano, John |
|
The Antarctic Automatic Weather Station (AWS) network, first commenced in 1978, is the most extensive meteorological observing system on the Antarctic continent, approaching its 30th year at many of its key sites. Its prime focus as a long term observational record is vital to the measurement of the near surface climatology of the Antarctic atmosphere. AWS units 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 taken. Observational data from the AWS are collected via the DCS Argos system aboard either NOAA or MetOp polar orbiting satellites and thus made available globally, in near real time via the GTS (Global Telecommunications System), to operational and synoptic weather forecasters. The surface observations from the AWS network also are often used to check on satellite and remote sensing observations, and the simulations of Global Climate Models (GCMs). Research instances of its use in this project include continued development of the climatology of the Antarctic atmosphere and surface wind studies of the Ross Ice Shelf. The AWS observations benefit the broader earth system science community, supporting research activities ranging from paleoclimate studies to penguin phenology. | 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)) | POINT(0 -89.999) | false | false | |||||
Collaborative Research: The Automatic Weather Station Program: Antarctic Meteorological Sentinel Service 2024-2027
|
2301363 2301362 |
2023-10-20 | Lazzara, Matthew; Welhouse, Lee J; Mikolajczyk, David |
|
The Antarctic Automatic Weather Station (AWS) program is a long-term automated surface weather observing network measuring key standard meteorological parameters, including temperature, humidity, wind speed and direction, barometric pressure, solar radiation, and snow accumulation. Observations from the network support weather forecasting, science research, and educational activities, and all data collected are made available to the public. This project will continue to maintain and operate the existing network. These data provide some of the only available weather observations in this very remote portion of the Earth. To ensure fidelity, observations are reviewed and checked for errors by a combination of automated methods and expert review, enabling the data to be used in a wide range of research areas. The project will be overseen by a team of scientists, researchers, and students, and a newly created AWS Advisory Board will provide independent input and guidance. The activities for this project will be focused on the continued operation of the AWS network, establishment of an AWS Advisory Board, student engagement and outreach activities. This project will continue to maintain the AWS systems while upgrading the real-time processing of meteorological data from the AWS network. The team will continue to adapt to changes communication methods to ensure that data is distributed widely and in a timely manner. Prior NSF investments in the Polar Climate and Weather Station (PCWS) are leveraged to develop a robust production version that can be reliably used year-round in Antarctica. AWS observations will be quality-controlled and placed into a database where the public will be able to search and select subsets of observations. To resolve conflicting radiation shield setups for temperature observations, the team plans to test different radiation shields (with and without aspiration) deployed for one year at South Pole Station. The project will be advised by an independent group of diverse peers through a newly developed AWS Advisory Board. The team will incorporate students from all levels in all aspects of the project, including in the research design, engineering and productions of the PCWS, and in field deployments. A concerted effort to engage the public will be undertaken via scaled-up interactions with television meteorologists from several states across the US to bring Antarctica to the public. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. | 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)) | POINT(0 -89.999) | false | false | |||||
MRI: Development of a Modern Polar Climate and Weather Automated Observing System
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1625904 |
2022-12-12 | Lazzara, Matthew; Cassano, John; L''Ecuyer, Tristan; Kulie, Mark |
|
Our knowledge of Antarctic weather and climate relies on only a handful of direct observing stations located on this harsh and remote continent. This observing system reports meteorological measurements from an existing network of automatic weather stations (AWS) spread across a vast area. This MRI project will enable the development, testing and eventual deployment of a next generation of polar automatic climate and weather observing stations for unattended use in the Antarctic. The proposed new Automatic Weather Station (AWS) system will enhance the capabilities and accuracy of the meteorological observations, enabling climate quality measurements. This project will involve development of a more capable instrumentation core, with two major goals. The first goal is to lower the cost for an AWS electronic core to 3 times less than currently employed systems. The second is to enable an onboard temperature calibration capability, an innovative development for the Antarctic AWS. The capability for onboard calibration will add confidence in the critical climate measure of ambient temperature, along with other standard meteorological parameters. Observations made by a modernized AWS network will inform and extend future numerical climate modeling efforts, improve operational weather forecasts, capture weather phenomena, and support environmental science research in other disciplines. A theme of the project is the inclusion of community college students in all aspects of the effort. With an eye on training the next generation of research instrumentation expertise, while involving other science, technology, engineering and mathematics (STEM) fields, undergraduate students will be involved in the development, testing and deployment of new AWS systems. As well as reporting, data analysis and publication of scientific knowledge, students intending to transfer to a 4-year university, as well as those pursuing electronics or electrical engineering associate degrees will be introduced to weather and climate topics. This MRI award was supported with funds from the Division of Polar Programs and the Division of Atmospheric and Geospace Sciences, both of the Directorate of Geosciences. | POLYGON((166 -77.5,166.4 -77.5,166.8 -77.5,167.2 -77.5,167.6 -77.5,168 -77.5,168.4 -77.5,168.8 -77.5,169.2 -77.5,169.6 -77.5,170 -77.5,170 -77.75,170 -78,170 -78.25,170 -78.5,170 -78.75,170 -79,170 -79.25,170 -79.5,170 -79.75,170 -80,169.6 -80,169.2 -80,168.8 -80,168.4 -80,168 -80,167.6 -80,167.2 -80,166.8 -80,166.4 -80,166 -80,166 -79.75,166 -79.5,166 -79.25,166 -79,166 -78.75,166 -78.5,166 -78.25,166 -78,166 -77.75,166 -77.5)) | POINT(168 -78.75) | false | false | |||||
Collaborative Research: Antarctic Automatic Weather Station Program 2019-2022
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None | 2022-08-23 | None | No dataset link provided | The Antarctic Automatic Weather Station network is the most extensive surficial meteorological network in the Antarctic, approaching its 30th year at several of its data stations. Its prime focus is also as a long term observational record, to measure the near surface weather and climatology of the Antarctic atmosphere. Antarctic Automatic Weather Stations measure air-temperature, pressure, wind speed and direction at a nominal surface height of ~ 2-3m. Other parameters such as relative humidity and snow accumulation may also be taken. The surface observations from the Antarctic Automatic Weather Station network are also used operationally, for forecast purposes, and in the planning of field work. Surface observations made from the network have also been used to check the validity of satellite and remote sensing observations. The proposed effort informs our understanding of the Antarctic environment and its weather and climate trends over the past few decades. The research has implications for potential future operations and logistics for the US Antarctic Program during the winter season. As a part of this endeavor, all project participants will engage in a coordinated outreach effort to bring the famous Antarctic "cold" to public seminars, K-12, undergraduate, and graduate classrooms, and senior citizen centers.<br/><br/>This project proposes to use the surface conditions observed by the Antarctic Automatic Weather Station (AWS) network to determine how large-scale modes of climate variability impact Antarctic weather and climate, how the surface observations from the AWS network are linked to surface layer and boundary layer processes. Consideration will also be given to low temperature physical environments such as may be encountered during Antarctic winter, and the best ways to characterize these, and other ?cold pool? phenomena. Observational data from the AWS are collected via Iridium network, or DCS Argos aboard either NOAA or MetOp polar orbiting satellites and thus made available in near real time to operational and synoptic weather forecasters over the GTS (WMO Global Telecommunication System). Being able to support improvements in numerical weather prediction and climate modeling will have lasting impacts on Antarctic science and logistical support.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. | None | None | false | false | |||||
Collaborative Research: Antarctic Automatic Weather Station Program 2016-2019
|
1543305 |
2022-05-16 | Lazzara, Matthew |
|
The Antarctic Automatic Weather Station (AWS) network 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 stations measure air-temperature, pressure, wind speed and direction at a nominal surface height of ~ 2-3m. Other parameters such as relative humidity and snow accumulation may also be taken. Observational data from the AWS are collected via Iridium network, or DCS Argos 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 made from the AAWS network have been used to check on satellite and remote sensing observations. This project proposes to use the surface conditions observed by the AWS network to determine how large-scale modes of climate variability impact Antarctic weather and climate, how the surface observations from the AWS network are linked to surface layer and boundary layer processes, and to quantify the impact of snowfall and blowing snow events. Specifically, this project proposes to improve our understanding of the processes that lead to unusual weather events and how these events are related to large-scale modes of climate variability. This project will fill a gap in knowledge of snowfall distribution, and distinguishing between snowfall and blowing snow events using a suite of precipitation sensors near McMurdo Station. | 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)) | POINT(0 -89.999) | false | false |