{"dp_type": "Project", "free_text": "3 HOUR"}
[{"awards": "1245663 Lazzara, Matthew; 1245737 Cassano, John", "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; Cryosphere; 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. \u003cbr/\u003e\u003cbr/\u003eThe 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": "AUTOMATIC WEATHER STATION; ANTARTICA; AWS; 3 HOUR; FIXED OBSERVATION STATIONS", "locations": null, "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": "0337948 Bromwich, David", "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": "Access to data", "datasets": [{"dataset_uid": "001778", "doi": "", "keywords": null, "people": null, "repository": "PI website", "science_program": null, "title": "Access to data", "url": "http://polarmet.mps.ohio-state.edu/PolarMet/ant_hindcast.html"}], "date_created": "Thu, 02 Aug 2007 00:00:00 GMT", "description": "This award supports a comprehensive investigation of the spatial and temporal characteristics of the surface mass balance of the Antarctic ice sheet and the governing mechanisms that affect it. A mesoscale atmospheric model, adapted for Antarctic conditions (Polar MM5), will be used in conjunction with the newly available reanalysis from the European Centre for Medium-Range Weather Forecasts (ECMWF) to resolve the surface mass balance of Antarctica at a time resolution of 3 hours and a spatial resolution of 60 km from 1957 to 2001. Polar MM5 will be upgraded to account for key processes in the simulation, including explicit consideration of blowing snow transport and sublimation as well as surface melting/runoff. The proposed 45-y hindcast of all Antarctic surface mass balance components with a limited area model has not previously been attempted and will provide a dataset of unprecedented scope to complement existing ice core measurements of recent climate, especially those collected by the International Transantarctic Scientific Expedition (ITASE). The trends and variability in space and time over 4.5 decades will be resolved and the impact of the dominant modes of atmospheric variability (Antarctic Oscillation, El Nino-Southern Oscillation, etc.) will be isolated. Hypotheses concerning the Antarctic surface mass balance response to climate change will be tested. The research will provide a sound basis for evaluating the impact of future climate change on Antarctic surface mass balance and its contribution to global sea level change as well as providing an important perspective for the interpretation of Antarctic ice core records. The broader impacts include the education of a Ph.D. student, the development of material for use in university classes, and construction of an interactive educational webpage on Antarctic surface mass balance.", "east": 180.0, "geometry": "POINT(0 -89.999)", "instruments": "IN SITU/LABORATORY INSTRUMENTS \u003e RECORDERS/LOGGERS \u003e MMS", "is_usap_dc": false, "keywords": "ENSO; Antarctic; mesoscale; El Nino-Southern Oscillation; ITASE; Atmospheric Model; Not provided; Antarctic Oscillation; Polar MM5; Climate", "locations": "Antarctic", "north": -60.0, "nsf_funding_programs": "Antarctic Glaciology", "paleo_time": null, "persons": "Bromwich, David; Monaghan, Andrew", "platforms": "Not provided", "repo": "PI website", "repositories": "Other", "science_programs": null, "south": -90.0, "title": "A 45-Y Hindcast of Antarctic Surface Mass Balance Using Polar MM5", "uid": "p0000722", "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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Collaborative Research: Antarctic Automatic Weather Station Program 2013-2017
|
1245663 1245737 |
2017-11-22 | Lazzara, Matthew; Cassano, John; Costanza, Carol |
|
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. <br/><br/>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. | 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)) | POINT(166.1825 -78.263) | false | false | |||
|
A 45-Y Hindcast of Antarctic Surface Mass Balance Using Polar MM5
|
0337948 |
2007-08-02 | Bromwich, David; Monaghan, Andrew |
|
This award supports a comprehensive investigation of the spatial and temporal characteristics of the surface mass balance of the Antarctic ice sheet and the governing mechanisms that affect it. A mesoscale atmospheric model, adapted for Antarctic conditions (Polar MM5), will be used in conjunction with the newly available reanalysis from the European Centre for Medium-Range Weather Forecasts (ECMWF) to resolve the surface mass balance of Antarctica at a time resolution of 3 hours and a spatial resolution of 60 km from 1957 to 2001. Polar MM5 will be upgraded to account for key processes in the simulation, including explicit consideration of blowing snow transport and sublimation as well as surface melting/runoff. The proposed 45-y hindcast of all Antarctic surface mass balance components with a limited area model has not previously been attempted and will provide a dataset of unprecedented scope to complement existing ice core measurements of recent climate, especially those collected by the International Transantarctic Scientific Expedition (ITASE). The trends and variability in space and time over 4.5 decades will be resolved and the impact of the dominant modes of atmospheric variability (Antarctic Oscillation, El Nino-Southern Oscillation, etc.) will be isolated. Hypotheses concerning the Antarctic surface mass balance response to climate change will be tested. The research will provide a sound basis for evaluating the impact of future climate change on Antarctic surface mass balance and its contribution to global sea level change as well as providing an important perspective for the interpretation of Antarctic ice core records. The broader impacts include the education of a Ph.D. student, the development of material for use in university classes, and construction of an interactive educational webpage on Antarctic surface mass balance. | 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 |
