{"dp_type": "Project", "free_text": "BAROMETERS"}
[{"awards": "1643119 Zabotin, Nikolay", "bounds_geometry": "POLYGON((-180 -73,-177 -73,-174 -73,-171 -73,-168 -73,-165 -73,-162 -73,-159 -73,-156 -73,-153 -73,-150 -73,-150 -74.2,-150 -75.4,-150 -76.6,-150 -77.8,-150 -79,-150 -80.2,-150 -81.4,-150 -82.6,-150 -83.8,-150 -85,-153 -85,-156 -85,-159 -85,-162 -85,-165 -85,-168 -85,-171 -85,-174 -85,-177 -85,180 -85,178 -85,176 -85,174 -85,172 -85,170 -85,168 -85,166 -85,164 -85,162 -85,160 -85,160 -83.8,160 -82.6,160 -81.4,160 -80.2,160 -79,160 -77.8,160 -76.6,160 -75.4,160 -74.2,160 -73,162 -73,164 -73,166 -73,168 -73,170 -73,172 -73,174 -73,176 -73,178 -73,-180 -73))", "dataset_titles": null, "datasets": null, "date_created": "Tue, 22 Jun 2021 00:00:00 GMT", "description": "Recent theoretical and experimental studies indicated that over a wide range of altitudes and for periods from a few minutes to several hours a significant portion of the waves activity observed in the upper atmosphere/thermosphere is due to acoustic gravity waves radiated by infragravity waves generated in the ocean. Studying this impressive gravity wave activity over the Antarctic, where proximity of the Ross Ice Shelf makes it very special, is the goal of this project. The ocean\u0027s infragravity waves can excite the fundamental mode and low-order oscillations of the Ross Ice Shelf at its resonance frequencies, thus creating standing wave structures throughout the entire atmosphere. It is likely that this effect was recently detected using LIDAR observations at McMurdo. This project will support the training and education of a graduate student. This award will allow scientists to study the wave coupling of the Southern Ocean (via the Ross Ice Shelf) to the upper atmosphere/thermosphere. This study will involve theoretical assessment of the coupling phenomena and comparing theory with data collected by a unique combination of instruments deployed in the Ross Ice Shelf area: the NSF-supported network of seismographs and microbarometers on the Ross Ice Shelf, the infrasound station near McMurdo, and the Dynasonde recently installed at the Korean Antarctic Station Jang Bogo.", "east": -150.0, "geometry": "POINT(-175 -79)", "instruments": null, "is_usap_dc": true, "keywords": "Ronne Ice Shelf; USA/NSF; Amd/Us; AMD; SEA ICE MOTION; FIELD INVESTIGATION; USAP-DC", "locations": "Ronne Ice Shelf", "north": -73.0, "nsf_funding_programs": "Antarctic Glaciology; Antarctic Astrophysics and Geospace Sciences", "paleo_time": null, "persons": "Godin, Oleg; Zabotin, Nikolay", "platforms": "LAND-BASED PLATFORMS \u003e FIELD SITES \u003e FIELD INVESTIGATION", "repositories": null, "science_programs": null, "south": -85.0, "title": "Resonance Properties of the Ross Ice Shelf, Antarctica, as a Factor in Regional Wave Interaction between Ocean and Atmosphere", "uid": "p0010195", "west": 160.0}, {"awards": "1246151 Bromirski, Peter; 1246416 Stephen, Ralph", "bounds_geometry": "POLYGON((-180 -77,-179.5 -77,-179 -77,-178.5 -77,-178 -77,-177.5 -77,-177 -77,-176.5 -77,-176 -77,-175.5 -77,-175 -77,-175 -77.4,-175 -77.8,-175 -78.2,-175 -78.6,-175 -79,-175 -79.4,-175 -79.8,-175 -80.2,-175 -80.6,-175 -81,-175.5 -81,-176 -81,-176.5 -81,-177 -81,-177.5 -81,-178 -81,-178.5 -81,-179 -81,-179.5 -81,180 -81,179 -81,178 -81,177 -81,176 -81,175 -81,174 -81,173 -81,172 -81,171 -81,170 -81,170 -80.6,170 -80.2,170 -79.8,170 -79.4,170 -79,170 -78.6,170 -78.2,170 -77.8,170 -77.4,170 -77,171 -77,172 -77,173 -77,174 -77,175 -77,176 -77,177 -77,178 -77,179 -77,-180 -77))", "dataset_titles": "Collaborative Research: Dynamic Response of the Ross Ice Shelf to Wave-Induced Vibrations and Collaborative Research: Mantle Structure and Dynamics of the Ross Sea from a Passive Seismic Deployment on the Ross Ice Shelf. International Federation of Digital Seismograph Networks. ; Dynamic Response of the Ross Ice Shelf to Wave-induced Vibrations 2015/2016, UNAVCO, Inc., GPS/GNSS Observations Dataset", "datasets": [{"dataset_uid": "200207", "doi": "10.7914/SN/XH_2014", "keywords": null, "people": null, "repository": "IRIS", "science_program": null, "title": "Collaborative Research: Dynamic Response of the Ross Ice Shelf to Wave-Induced Vibrations and Collaborative Research: Mantle Structure and Dynamics of the Ross Sea from a Passive Seismic Deployment on the Ross Ice Shelf. International Federation of Digital Seismograph Networks. ", "url": "http://www.fdsn.org/networks/detail/XH_2014/"}, {"dataset_uid": "200209", "doi": "10.7283/58E3-GA46", "keywords": null, "people": null, "repository": "UNAVCO", "science_program": null, "title": "Dynamic Response of the Ross Ice Shelf to Wave-induced Vibrations 2015/2016, UNAVCO, Inc., GPS/GNSS Observations Dataset", "url": "https://doi.org/10.7283/58E3-GA46"}], "date_created": "Thu, 15 Apr 2021 00:00:00 GMT", "description": "Bromirski/1246151 This award supports a project intended to discover, through field observations and numerical simulations, how ocean wave-induced vibrations on ice shelves in general, and the Ross Ice Shelf (RIS), in particular, can be used (1) to infer spatial and temporal variability of ice shelf mechanical properties, (2) to infer bulk elastic properties from signal propagation characteristics, and (3) to determine whether the RIS response to infragravity (IG) wave forcing observed distant from the front propagates as stress waves from the front or is \"locally\" generated by IG wave energy penetrating the RIS cavity. The intellectual merit of the work is that ocean gravity waves are dynamic elements of the global ocean environment, affected by ocean warming and changes in ocean and atmospheric circulation patterns. Their evolution may thus drive changes in ice-shelf stability by both mechanical interactions, and potentially increased basal melting, which in turn feed back on sea level rise. Gravity wave-induced signal propagation across ice shelves depends on ice shelf and sub-shelf water cavity geometry (e.g. structure, thickness, crevasse density and orientation), as well as ice shelf physical properties. Emphasis will be placed on observation and modeling of the RIS response to IG wave forcing at periods from 75 to 300 s. Because IG waves are not appreciably damped by sea ice, seasonal monitoring will give insights into the year-round RIS response to this oceanographic forcing. The 3-year project will involve a 24-month period of continuous data collection spanning two annual cycles on the RIS. RIS ice-front array coverage overlaps with a synergistic Ross Sea Mantle Structure (RSMS) study, giving an expanded array beneficial for IG wave localization. The ice-shelf deployment will consist of sixteen stations equipped with broadband seismometers and barometers. Three seismic stations near the RIS front will provide reference response/forcing functions, and measure the variability of the response across the front. A linear seismic array orthogonal to the front will consist of three stations in-line with three RSMS stations. Passive seismic array monitoring will be used to determine the spatial and temporal distribution of ocean wave-induced signal sources along the front of the RIS and estimate ice shelf structure, with the high-density array used to monitor and localize fracture (icequake) activity. The broader impacts include providing baseline measurements to enable detection of ice-shelf changes over coming decades which will help scientists and policy-makers respond to the socio-environmental challenges of climate change and sea-level rise. A postdoctoral scholar in interdisciplinary Earth science will be involved throughout the course of the research. Students at Cuyamaca Community College, San Diego County, will develop and manage a web site for the project to be used as a teaching tool for earth science and oceanography classes, with development of an associated web site on waves for middle school students.", "east": 170.0, "geometry": "POINT(177.5 -79)", "instruments": "EARTH REMOTE SENSING INSTRUMENTS \u003e PASSIVE REMOTE SENSING \u003e POSITIONING/NAVIGATION \u003e GPS \u003e GPS", "is_usap_dc": true, "keywords": "FIELD INVESTIGATION; GLACIER MOTION/ICE SHEET MOTION; USAP-DC; Amd/Us; AMD; USA/NSF; Iris; Ross Ice Shelf", "locations": "Ross Ice Shelf", "north": -77.0, "nsf_funding_programs": "Antarctic Glaciology; Antarctic Glaciology", "paleo_time": null, "persons": "Bromirski, Peter; Gerstoft, Peter; Stephen, Ralph", "platforms": "LAND-BASED PLATFORMS \u003e FIELD SITES \u003e FIELD INVESTIGATION", "repo": "IRIS", "repositories": "IRIS; UNAVCO", "science_programs": null, "south": -81.0, "title": "Collaborative Research: Dynamic Response of the Ross Ice Shelf to Wave-induced Vibrations", "uid": "p0010169", "west": -175.0}, {"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": "9419128 Stearns, Charles", "bounds_geometry": null, "dataset_titles": "Three-Hourly Antarctic Automatic Weather Station Data, 1980-2000", "datasets": [{"dataset_uid": "609111", "doi": "", "keywords": "Antarctica; Atmosphere; AWS; Weatherstation", "people": "Keller, Linda M.; Weidner, George A.; Lazzara, Matthew; Stearns, Charles R.", "repository": "USAP-DC", "science_program": null, "title": "Three-Hourly Antarctic Automatic Weather Station Data, 1980-2000", "url": "https://www.usap-dc.org/view/dataset/609111"}], "date_created": "Mon, 18 Aug 2003 00:00:00 GMT", "description": "9419128 Stearns This is a project to maintain and augment as necessary, the network of nearly 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 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": null, "geometry": null, "instruments": "IN SITU/LABORATORY INSTRUMENTS \u003e CURRENT/WIND METERS \u003e ANEMOMETERS; IN SITU/LABORATORY INSTRUMENTS \u003e RECORDERS/LOGGERS \u003e AWS; 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 TEMPERATURE/HUMIDITY SENSORS \u003e TEMPERATURE SENSORS", "is_usap_dc": true, "keywords": "Surface Temperature Measurements; USAP-DC; Atmospheric Pressure; Automated Weather Station; Surface Winds; Near-Surface Air Temperatures; Surface Wind Speed Measurements; Atmospheric Humidity Measurements; AWS; Not provided; Snow Temperature; Surface Temperatures; Antarctica; Snow Temperature Measurements", "locations": "Antarctica", "north": null, "nsf_funding_programs": "Antarctic Ocean and Atmospheric Sciences", "paleo_time": null, "persons": "Lazzara, Matthew; Stearns, Charles R.; Weidner, George A.; Keller, Linda M.", "platforms": "Not provided", "repo": "USAP-DC", "repositories": "USAP-DC", "science_programs": null, "south": null, "title": "Continuation for the Antarctic Automatic Weather Station Climate Program 1995-1998", "uid": "p0000151", "west": null}, {"awards": "0838834 Lazzara, Matthew", "bounds_geometry": "POLYGON((-180 -62.83,-144 -62.83,-108 -62.83,-72 -62.83,-36 -62.83,0 -62.83,36 -62.83,72 -62.83,108 -62.83,144 -62.83,180 -62.83,180 -65.547,180 -68.264,180 -70.981,180 -73.698,180 -76.415,180 -79.132,180 -81.849,180 -84.566,180 -87.283,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87.283,-180 -84.566,-180 -81.849,-180 -79.132,-180 -76.415,-180 -73.698,-180 -70.981,-180 -68.264,-180 -65.547,-180 -62.83))", "dataset_titles": "Access all real-time datasets; Access Antarctic Composite Images.; Access Antarctic Synoptic and METAR Observations.; Access McMurdo Radiosonde Observations; Access South Pole Radiosonde Observations; Archived METAR observational data; We have observations from three ships near Antarctica, the R/V Polar Duke the R/V Nathaniel B. Palmer and the R/V Laurence M. Gould. Data from 23 August 1993 are available via ftp and the files are updated with the most recent observations every 7-10 days as we receive the information. The AMRC has been archiving general ship and buoy observational data for the Antarctic and surrounding regions since 2 December 1998.", "datasets": [{"dataset_uid": "001285", "doi": "", "keywords": null, "people": null, "repository": "AMRDC", "science_program": null, "title": "Access Antarctic Composite Images.", "url": "http://amrc.ssec.wisc.edu/data/view-data.php?action=list\u0026amp;amp;product=satellite/composite"}, {"dataset_uid": "001288", "doi": "", "keywords": null, "people": null, "repository": "AMRDC", "science_program": null, "title": "Access South Pole Radiosonde Observations", "url": "ftp://amrc.ssec.wisc.edu/pub/southpole/radiosonde/"}, {"dataset_uid": "001289", "doi": "", "keywords": null, "people": null, "repository": "AMRDC", "science_program": null, "title": "Access McMurdo Radiosonde Observations", "url": "ftp://amrc.ssec.wisc.edu/pub/mcmurdo/radiosonde/"}, {"dataset_uid": "001290", "doi": "", "keywords": null, "people": null, "repository": "AMRDC", "science_program": null, "title": "We have observations from three ships near Antarctica, the R/V Polar Duke the R/V Nathaniel B. Palmer and the R/V Laurence M. Gould. Data from 23 August 1993 are available via ftp and the files are updated with the most recent observations every 7-10 days as we receive the information. The AMRC has been archiving general ship and buoy observational data for the Antarctic and surrounding regions since 2 December 1998.", "url": "ftp://amrc.ssec.wisc.edu/pub/shipobs/"}, {"dataset_uid": "001299", "doi": "", "keywords": null, "people": null, "repository": "AMRDC", "science_program": null, "title": "Access Antarctic Synoptic and METAR Observations.", "url": "ftp://amrc.ssec.wisc.edu/"}, {"dataset_uid": "001300", "doi": "", "keywords": null, "people": null, "repository": "AMRDC", "science_program": null, "title": "Access all real-time datasets", "url": "http://amrc.ssec.wisc.edu/"}, {"dataset_uid": "001382", "doi": "", "keywords": null, "people": null, "repository": "AMRDC", "science_program": null, "title": "Access Antarctic Synoptic and METAR Observations.", "url": "ftp://amrc.ssec.wisc.edu"}, {"dataset_uid": "001386", "doi": "", "keywords": null, "people": null, "repository": "AMRDC", "science_program": null, "title": "Archived METAR observational data", "url": "ftp://amrc.ssec.wisc.edu/archive/"}], "date_created": "Thu, 01 Jan 1970 00:00:00 GMT", "description": "Abstract\u003cbr/\u003e\u003cbr/\u003eThe Antarctic Meteorological Research Center (AMRC), located at the University of Wisconsin, Madison, serves several communities by maintaining and extending the stewardship of meteorological data pertinent to the Antarctic continent, its surrounding islands, ice sheets and ice margins and the adjacent Southern Ocean. This data will continue to be made freely available to interested researchers and the general public. Activities of particular interest for the current award include the development of an enhanced data portal to provide improved data and analysis tools to the research community, and to continue to add to the evolution of the Antarctic-Internet Data Distribution system, which is meant to overcome the costly and generally low bandwidth internet connectivity to and from the Antarctic continent. Operational forecasting for logistical activities in the Antarctic, as well as active Antarctic meteorological research programs, are clearly in need of a dependable, steady flow of meteorological observations, model output, and related data in what must be a collaborative environment in order to overcome the otherwise distributed nature of Antarctic meteorological and climatological observations.\u003cbr/\u003e\u003cbr/\u003eAMRC interaction with the public through answering e-mail questions, giving informal public lectures and presentations to K-12 education institutions through visits to schools will help to raise science literacy with regards to meteorology and of the Antarctic and polar regions. \u003cbr/\u003e\u003cbr/\u003e\u003cbr/\u003e\u003cbr/\u003e\"This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).\"", "east": 180.0, "geometry": "POINT(0 -89.999)", "instruments": "EARTH REMOTE SENSING INSTRUMENTS \u003e PASSIVE REMOTE SENSING \u003e SPECTROMETERS/RADIOMETERS \u003e IMAGING SPECTROMETERS/RADIOMETERS \u003e AVHRR; EARTH REMOTE SENSING INSTRUMENTS \u003e PASSIVE REMOTE SENSING \u003e SPECTROMETERS/RADIOMETERS \u003e IMAGING SPECTROMETERS/RADIOMETERS \u003e GOES I-M IMAGER; EARTH REMOTE SENSING INSTRUMENTS \u003e PASSIVE REMOTE SENSING \u003e SPECTROMETERS/RADIOMETERS \u003e IMAGING SPECTROMETERS/RADIOMETERS \u003e OLS; EARTH REMOTE SENSING INSTRUMENTS \u003e PASSIVE REMOTE SENSING \u003e SPECTROMETERS/RADIOMETERS \u003e IMAGING SPECTROMETERS/RADIOMETERS \u003e VISSR; IN SITU/LABORATORY INSTRUMENTS \u003e CURRENT/WIND METERS \u003e ANEMOMETERS; IN SITU/LABORATORY INSTRUMENTS \u003e TEMPERATURE/HUMIDITY SENSORS \u003e THERMOMETERS \u003e THERMOMETERS; IN SITU/LABORATORY INSTRUMENTS \u003e PRESSURE/HEIGHT METERS \u003e BAROMETERS; IN SITU/LABORATORY INSTRUMENTS \u003e TEMPERATURE/HUMIDITY SENSORS \u003e THERMOMETERS \u003e WET BULB THERMOMETERS; EARTH REMOTE SENSING INSTRUMENTS \u003e PASSIVE REMOTE SENSING \u003e PROFILERS/SOUNDERS \u003e RADIOSONDES; EARTH REMOTE SENSING INSTRUMENTS \u003e PASSIVE REMOTE SENSING \u003e PROFILERS/SOUNDERS \u003e AMSU-A; EARTH REMOTE SENSING INSTRUMENTS \u003e PASSIVE REMOTE SENSING \u003e SPECTROMETERS/RADIOMETERS \u003e IMAGING SPECTROMETERS/RADIOMETERS \u003e AVHRR; EARTH REMOTE SENSING INSTRUMENTS \u003e PASSIVE REMOTE SENSING \u003e PROFILERS/SOUNDERS \u003e HIRS; EARTH REMOTE SENSING INSTRUMENTS \u003e PASSIVE REMOTE SENSING \u003e PROFILERS/SOUNDERS \u003e HIRS/2; EARTH REMOTE SENSING INSTRUMENTS \u003e PASSIVE REMOTE SENSING \u003e PROFILERS/SOUNDERS \u003e MSU; EARTH REMOTE SENSING INSTRUMENTS \u003e PASSIVE REMOTE SENSING \u003e PROFILERS/SOUNDERS \u003e TOVS", "is_usap_dc": false, "keywords": "Shortwave Composite Satellite Images; Radiosonde Data; Antarctic; Noaa Hrpt Raw Data; Synoptic Data; Water Vapor Composite Satellite Images; SATELLITES; Satellite Imagery; Infrared Imagery; NOAA POES; Visible Composite Satellite Images; BUOYS; Antarctica; Ship/buoy Data; FIXED OBSERVATION STATIONS; Longwave Composite Satellite Images; Not provided; COASTAL STATIONS; Metar Weather Observations", "locations": "Antarctic; Antarctica", "north": -62.83, "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 COASTAL STATIONS; LAND-BASED PLATFORMS \u003e PERMANENT LAND SITES \u003e FIXED OBSERVATION STATIONS; Not provided; SPACE-BASED PLATFORMS \u003e EARTH OBSERVATION SATELLITES \u003e POLAR ORBITING ENVIRONMENTAL SATELLITES (POES) \u003e NOAA POES; SPACE-BASED PLATFORMS \u003e EARTH OBSERVATION SATELLITES \u003e SATELLITES; WATER-BASED PLATFORMS \u003e BUOYS \u003e MOORED \u003e BUOYS", "repo": "AMRDC", "repositories": "AMRDC", "science_programs": null, "south": -90.0, "title": "Antarctic Meteorological Research Center (2009-2011)", "uid": "p0000264", "west": -180.0}, {"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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Project Title/Abstract/Map | NSF Award(s) | Date Created | PIs / Scientists | Dataset Links and Repositories | Abstract | Bounds Geometry | Geometry | Selected | Visible | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Resonance Properties of the Ross Ice Shelf, Antarctica, as a Factor in Regional Wave Interaction between Ocean and Atmosphere
|
1643119 |
2021-06-22 | Godin, Oleg; Zabotin, Nikolay | No dataset link provided | Recent theoretical and experimental studies indicated that over a wide range of altitudes and for periods from a few minutes to several hours a significant portion of the waves activity observed in the upper atmosphere/thermosphere is due to acoustic gravity waves radiated by infragravity waves generated in the ocean. Studying this impressive gravity wave activity over the Antarctic, where proximity of the Ross Ice Shelf makes it very special, is the goal of this project. The ocean's infragravity waves can excite the fundamental mode and low-order oscillations of the Ross Ice Shelf at its resonance frequencies, thus creating standing wave structures throughout the entire atmosphere. It is likely that this effect was recently detected using LIDAR observations at McMurdo. This project will support the training and education of a graduate student. This award will allow scientists to study the wave coupling of the Southern Ocean (via the Ross Ice Shelf) to the upper atmosphere/thermosphere. This study will involve theoretical assessment of the coupling phenomena and comparing theory with data collected by a unique combination of instruments deployed in the Ross Ice Shelf area: the NSF-supported network of seismographs and microbarometers on the Ross Ice Shelf, the infrasound station near McMurdo, and the Dynasonde recently installed at the Korean Antarctic Station Jang Bogo. | POLYGON((-180 -73,-177 -73,-174 -73,-171 -73,-168 -73,-165 -73,-162 -73,-159 -73,-156 -73,-153 -73,-150 -73,-150 -74.2,-150 -75.4,-150 -76.6,-150 -77.8,-150 -79,-150 -80.2,-150 -81.4,-150 -82.6,-150 -83.8,-150 -85,-153 -85,-156 -85,-159 -85,-162 -85,-165 -85,-168 -85,-171 -85,-174 -85,-177 -85,180 -85,178 -85,176 -85,174 -85,172 -85,170 -85,168 -85,166 -85,164 -85,162 -85,160 -85,160 -83.8,160 -82.6,160 -81.4,160 -80.2,160 -79,160 -77.8,160 -76.6,160 -75.4,160 -74.2,160 -73,162 -73,164 -73,166 -73,168 -73,170 -73,172 -73,174 -73,176 -73,178 -73,-180 -73)) | POINT(-175 -79) | false | false | |||
Collaborative Research: Dynamic Response of the Ross Ice Shelf to Wave-induced Vibrations
|
1246151 1246416 |
2021-04-15 | Bromirski, Peter; Gerstoft, Peter; Stephen, Ralph | Bromirski/1246151 This award supports a project intended to discover, through field observations and numerical simulations, how ocean wave-induced vibrations on ice shelves in general, and the Ross Ice Shelf (RIS), in particular, can be used (1) to infer spatial and temporal variability of ice shelf mechanical properties, (2) to infer bulk elastic properties from signal propagation characteristics, and (3) to determine whether the RIS response to infragravity (IG) wave forcing observed distant from the front propagates as stress waves from the front or is "locally" generated by IG wave energy penetrating the RIS cavity. The intellectual merit of the work is that ocean gravity waves are dynamic elements of the global ocean environment, affected by ocean warming and changes in ocean and atmospheric circulation patterns. Their evolution may thus drive changes in ice-shelf stability by both mechanical interactions, and potentially increased basal melting, which in turn feed back on sea level rise. Gravity wave-induced signal propagation across ice shelves depends on ice shelf and sub-shelf water cavity geometry (e.g. structure, thickness, crevasse density and orientation), as well as ice shelf physical properties. Emphasis will be placed on observation and modeling of the RIS response to IG wave forcing at periods from 75 to 300 s. Because IG waves are not appreciably damped by sea ice, seasonal monitoring will give insights into the year-round RIS response to this oceanographic forcing. The 3-year project will involve a 24-month period of continuous data collection spanning two annual cycles on the RIS. RIS ice-front array coverage overlaps with a synergistic Ross Sea Mantle Structure (RSMS) study, giving an expanded array beneficial for IG wave localization. The ice-shelf deployment will consist of sixteen stations equipped with broadband seismometers and barometers. Three seismic stations near the RIS front will provide reference response/forcing functions, and measure the variability of the response across the front. A linear seismic array orthogonal to the front will consist of three stations in-line with three RSMS stations. Passive seismic array monitoring will be used to determine the spatial and temporal distribution of ocean wave-induced signal sources along the front of the RIS and estimate ice shelf structure, with the high-density array used to monitor and localize fracture (icequake) activity. The broader impacts include providing baseline measurements to enable detection of ice-shelf changes over coming decades which will help scientists and policy-makers respond to the socio-environmental challenges of climate change and sea-level rise. A postdoctoral scholar in interdisciplinary Earth science will be involved throughout the course of the research. Students at Cuyamaca Community College, San Diego County, will develop and manage a web site for the project to be used as a teaching tool for earth science and oceanography classes, with development of an associated web site on waves for middle school students. | POLYGON((-180 -77,-179.5 -77,-179 -77,-178.5 -77,-178 -77,-177.5 -77,-177 -77,-176.5 -77,-176 -77,-175.5 -77,-175 -77,-175 -77.4,-175 -77.8,-175 -78.2,-175 -78.6,-175 -79,-175 -79.4,-175 -79.8,-175 -80.2,-175 -80.6,-175 -81,-175.5 -81,-176 -81,-176.5 -81,-177 -81,-177.5 -81,-178 -81,-178.5 -81,-179 -81,-179.5 -81,180 -81,179 -81,178 -81,177 -81,176 -81,175 -81,174 -81,173 -81,172 -81,171 -81,170 -81,170 -80.6,170 -80.2,170 -79.8,170 -79.4,170 -79,170 -78.6,170 -78.2,170 -77.8,170 -77.4,170 -77,171 -77,172 -77,173 -77,174 -77,175 -77,176 -77,177 -77,178 -77,179 -77,-180 -77)) | POINT(177.5 -79) | false | false | ||||
Collaborative Research: Antarctic Automatic Weather Station Program 2013-2017
|
1245737 1245663 |
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. 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 | |||
Continuation for the Antarctic Automatic Weather Station Climate Program 1995-1998
|
9419128 |
2003-08-18 | Lazzara, Matthew; Stearns, Charles R.; Weidner, George A.; Keller, Linda M. |
|
9419128 Stearns This is a project to maintain and augment as necessary, the network of nearly 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 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. *** | None | None | false | false | |||
Antarctic Meteorological Research Center (2009-2011)
|
0838834 |
1970-01-01 | Lazzara, Matthew; Costanza, Carol | Abstract<br/><br/>The Antarctic Meteorological Research Center (AMRC), located at the University of Wisconsin, Madison, serves several communities by maintaining and extending the stewardship of meteorological data pertinent to the Antarctic continent, its surrounding islands, ice sheets and ice margins and the adjacent Southern Ocean. This data will continue to be made freely available to interested researchers and the general public. Activities of particular interest for the current award include the development of an enhanced data portal to provide improved data and analysis tools to the research community, and to continue to add to the evolution of the Antarctic-Internet Data Distribution system, which is meant to overcome the costly and generally low bandwidth internet connectivity to and from the Antarctic continent. Operational forecasting for logistical activities in the Antarctic, as well as active Antarctic meteorological research programs, are clearly in need of a dependable, steady flow of meteorological observations, model output, and related data in what must be a collaborative environment in order to overcome the otherwise distributed nature of Antarctic meteorological and climatological observations.<br/><br/>AMRC interaction with the public through answering e-mail questions, giving informal public lectures and presentations to K-12 education institutions through visits to schools will help to raise science literacy with regards to meteorology and of the Antarctic and polar regions. <br/><br/><br/><br/>"This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5)." | POLYGON((-180 -62.83,-144 -62.83,-108 -62.83,-72 -62.83,-36 -62.83,0 -62.83,36 -62.83,72 -62.83,108 -62.83,144 -62.83,180 -62.83,180 -65.547,180 -68.264,180 -70.981,180 -73.698,180 -76.415,180 -79.132,180 -81.849,180 -84.566,180 -87.283,180 -90,144 -90,108 -90,72 -90,36 -90,0 -90,-36 -90,-72 -90,-108 -90,-144 -90,-180 -90,-180 -87.283,-180 -84.566,-180 -81.849,-180 -79.132,-180 -76.415,-180 -73.698,-180 -70.981,-180 -68.264,-180 -65.547,-180 -62.83)) | POINT(0 -89.999) | false | false | ||||
Collaborative Research: Antarctic Automatic Weather Station Program: 2007-2010
|
0636873 |
1970-01-01 | Lazzara, Matthew; Costanza, Carol |
|
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. | 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)) | POINT(0 -89.999) | false | false |