[{"awards": "2205398 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": "YOPP-SH Analysis and Forecast Results. ", "datasets": [{"dataset_uid": "200570", "doi": "10.5281/zenodo.19899185", "keywords": null, "people": null, "repository": "Zenodo", "science_program": null, "title": "YOPP-SH Analysis and Forecast Results. ", "url": ""}], "date_created": "Fri, 01 May 2026 00:00:00 GMT", "description": "The project aims to promote the progress of science and advance national interests in improved numerical weather modeling capabilities for American researchers and for the United States Antarctic Program. The effort consists of atmospheric modeling work leveraging the international Year of Polar Prediction \u2014 Southern Hemisphere program. This effort includes a field campaign component in 2022 that features enhanced observations of the Antarctic atmosphere in winter during Targeted Observing Periods. The project seeks to improve numerical weather prediction capabilities for both research applications and weather forecasting support for the US Antarctic Program. The project goals include evaluating the use of special observations to improve atmospheric modeling, determining whether the new technique is superior to existing techniques for Antarctic atmospheric simulation and weather prediction, and assess how well the model is performing in its prediction of polar clouds and precipitation. The project will advance the field by applying an unprecedented dataset gathered in an international collaboration and determining its benefit for future science and forecasting. It will also advance the field by exploring a new method for the use of such information in atmospheric models for the polar regions. The benefits are increases in knowledge, improved weather modeling, and gains in the model weather forecasting capabilities that the Antarctic Program relies on, allowing for enhanced efficiency and safety for Antarctic operations. The project will also advance education and outreach by supporting the education and professional development of a graduate student along with interactive exposure of diverse audiences to the challenging task of weather modeling and prediction for the remote Southern Ocean and Antarctic regions. This project focuses on the value of special observations for improving Antarctic atmospheric simulation and weather prediction, and evaluate how the model performs in predicting polar clouds and precipitation. Specifically, within the Year of Polar Prediction \u2014 Southern Hemisphere (YOPP-SH) framework, this project has four aspects. First, the team will identify candidate Targeted Observing Periods (TOPs) from East Antarctica to the Ross Sea. Second, the dataset of special YOPP-SH radiosonde launches made in the TOPs will be assimilated into model experiments using the Weather Research and Forecasting (WRF) model, which is run in the Antarctic Mesoscale Prediction System (AMPS), the numerical weather prediction capability for USAP. These data assimilation experiments will apply the AMPS framework to determine the impact of the observations on predictions of major weather events affecting the US Antarctic Program (USAP) McMurdo and Palmer Stations, and to identify the governing processes. Third, a new data assimilation capability for the WRF Model\u2014 Multi-Resolution Incremental 4DVAR (MRI-4DVAR) \u2014is being tested in these data impact experiments to determine its effectiveness for real-time use in AMPS and thus for possible future implementation as well as for research modeling. Fourth, cloud and precipitation observations collected during the TOPs at Davis and Vernadsky Stations will be applied to analyses of the WRF simulations to assess model weaknesses. This project aims to enhance WRF\u2019s handling of clouds and precipitation to improve parameterization. The goal is to increase the accuracy of AMPS forecasts for USAP operations and to improve the WRF model for the research community. This project will ultimately promote the progress of science and advance national interests in improved numerical weather modeling capabilities for American researchers and for USAP. 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": "COMPUTERS; WATER VAPOR PROFILES; Antarctica; WIND PROFILES; VERTICAL PROFILES", "locations": "Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Ocean and Atmospheric Sciences", "paleo_time": null, "persons": "Bromwich, David; Powers, Jordan", "platforms": "OTHER \u003e MODELS \u003e COMPUTERS", "repo": "Zenodo", "repositories": "Zenodo", "science_programs": null, "south": -90.0, "title": "Applying Year of Polar Prediction-Southern Hemisphere (YOPP-SH) Targeted Observing Periods to Advance Winter Numerical Weather Forecasting for the U.S. Antarctic Program", "uid": "p0010564", "west": -180.0}, {"awards": "1823135 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": "YOPP-SH Analysis and Forecast Results. ", "datasets": [{"dataset_uid": "200287", "doi": "", "keywords": null, "people": null, "repository": "PI website", "science_program": null, "title": "YOPP-SH Analysis and Forecast Results. ", "url": "http://polarmet.osu.edu/YOPP-SH/"}], "date_created": "Mon, 14 Mar 2022 00:00:00 GMT", "description": "This research will take advantage of the greater number of Antarctic weather observations collected as part of the World Meteorological Organization\u0027s \"Year of Polar Prediction\". Researchers will use these additional observations to study new ways of incorporating data into existing weather prediction models. The primary goal of this research is to improve the accuracy of weather forecasts in Antarctica. This work is important, as the harsh weather in Antarctica greatly impacts scientific research and the support of this research. Being able to accurately predict changing weather increases the safety and efficiency of Antarctic field science and operations. The proposed effort seeks to advance goals of the World Meteorological Organization\u0027s Polar Prediction Project and its Year of Polar Prediction-Southern Hemisphere (YOPP-SH) effort. Researchers will investigate and demonstrate the forecast impact of enhanced atmospheric observations obtained from YOPP-SH\u0027s Special Observing Period on polar numerical weather prediction. This will be done by using the Antarctic Mesoscale Prediction System (AMPS). AMPS is the primary numerical weather prediction capability for the United States Antarctic Program (USAP). Modeling experimentation will assess the impact of Special Observing Period data on Antarctic forecasts and will serve as a vehicle for testing new data assimilation approaches for AMPS. The primary goal for this work is improved forecasting and numerical weather prediction tools. Outcomes will include quantification of the value of enhanced southern hemisphere atmospheric observations. This work will also help improve AMPS and its ability to support the USAP. 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": "VERTICAL PROFILES; Antarctica; USA/NSF; WATER VAPOR PROFILES; USAP-DC; AMD; Amd/Us; COMPUTERS; WIND PROFILES", "locations": "Antarctica", "north": -60.0, "nsf_funding_programs": "Antarctic Ocean and Atmospheric Sciences", "paleo_time": null, "persons": "Bromwich, David; Powers, Jordan", "platforms": "OTHER \u003e MODELS \u003e COMPUTERS", "repo": "PI website", "repositories": "PI website", "science_programs": null, "south": -90.0, "title": "Application of Year of Polar Prediction- Southern Hemisphere (YOPP-SH) Observations for Improvement of Antarctic Numerical Weather Prediction", "uid": "p0010308", "west": -180.0}]

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Applying Year of Polar Prediction-Southern Hemisphere (YOPP-SH) Targeted Observing Periods to Advance Winter Numerical Weather Forecasting for the U.S. Antarctic Program

2205398

2026-05-01

Bromwich, David; Powers, Jordan

No project link provided

Zenodo

The project aims to promote the progress of science and advance national interests in improved numerical weather modeling capabilities for American researchers and for the United States Antarctic Program. The effort consists of atmospheric modeling work leveraging the international Year of Polar Prediction — Southern Hemisphere program. This effort includes a field campaign component in 2022 that features enhanced observations of the Antarctic atmosphere in winter during Targeted Observing Periods. The project seeks to improve numerical weather prediction capabilities for both research applications and weather forecasting support for the US Antarctic Program. The project goals include evaluating the use of special observations to improve atmospheric modeling, determining whether the new technique is superior to existing techniques for Antarctic atmospheric simulation and weather prediction, and assess how well the model is performing in its prediction of polar clouds and precipitation. The project will advance the field by applying an unprecedented dataset gathered in an international collaboration and determining its benefit for future science and forecasting. It will also advance the field by exploring a new method for the use of such information in atmospheric models for the polar regions. The benefits are increases in knowledge, improved weather modeling, and gains in the model weather forecasting capabilities that the Antarctic Program relies on, allowing for enhanced efficiency and safety for Antarctic operations. The project will also advance education and outreach by supporting the education and professional development of a graduate student along with interactive exposure of diverse audiences to the challenging task of weather modeling and prediction for the remote Southern Ocean and Antarctic regions. This project focuses on the value of special observations for improving Antarctic atmospheric simulation and weather prediction, and evaluate how the model performs in predicting polar clouds and precipitation. Specifically, within the Year of Polar Prediction — Southern Hemisphere (YOPP-SH) framework, this project has four aspects. First, the team will identify candidate Targeted Observing Periods (TOPs) from East Antarctica to the Ross Sea. Second, the dataset of special YOPP-SH radiosonde launches made in the TOPs will be assimilated into model experiments using the Weather Research and Forecasting (WRF) model, which is run in the Antarctic Mesoscale Prediction System (AMPS), the numerical weather prediction capability for USAP. These data assimilation experiments will apply the AMPS framework to determine the impact of the observations on predictions of major weather events affecting the US Antarctic Program (USAP) McMurdo and Palmer Stations, and to identify the governing processes. Third, a new data assimilation capability for the WRF Model— Multi-Resolution Incremental 4DVAR (MRI-4DVAR) —is being tested in these data impact experiments to determine its effectiveness for real-time use in AMPS and thus for possible future implementation as well as for research modeling. Fourth, cloud and precipitation observations collected during the TOPs at Davis and Vernadsky Stations will be applied to analyses of the WRF simulations to assess model weaknesses. This project aims to enhance WRF’s handling of clouds and precipitation to improve parameterization. The goal is to increase the accuracy of AMPS forecasts for USAP operations and to improve the WRF model for the research community. This project will ultimately promote the progress of science and advance national interests in improved numerical weather modeling capabilities for American researchers and for USAP. 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.

Application of Year of Polar Prediction- Southern Hemisphere (YOPP-SH) Observations for Improvement of Antarctic Numerical Weather Prediction

1823135

2022-03-14

Bromwich, David; Powers, Jordan

YOPP-SH Analysis and Forecast Results.

PI website

USAP-DC