WRF winter extreme daily precipitation over the North American CORDEX Arctic
We analyze daily extremes of precipitation produced by a six-member ensemble of Pan-Arctic Weather Research and Forecasting that simulated 19 years on the Coordinated Regional Downscaling Experiment Arctic domain. Analysis focuses on four North American regions defined using climatological records,...
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ftiowastateuniv:oai:lib.dr.iastate.edu:ge_at_pubs-1075 2023-05-15T14:49:18+02:00 WRF winter extreme daily precipitation over the North American CORDEX Arctic Glisan, Justin M. Gutowski, William J., Jr. 2014-09-27T07:00:00Z application/pdf https://lib.dr.iastate.edu/ge_at_pubs/87 https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1075&context=ge_at_pubs en eng Iowa State University Digital Repository https://lib.dr.iastate.edu/ge_at_pubs/87 https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1075&context=ge_at_pubs Geological and Atmospheric Sciences Publications Precipitation extremes Regional climate modeling North American Arctic Topographical forcing Climate text 2014 ftiowastateuniv 2021-08-28T22:44:55Z We analyze daily extremes of precipitation produced by a six-member ensemble of Pan-Arctic Weather Research and Forecasting that simulated 19 years on the Coordinated Regional Downscaling Experiment Arctic domain. Analysis focuses on four North American regions defined using climatological records, regional weather patterns, and geographical/topographical features. We compare simulated extremes for the winter season with those occurring at corresponding observing stations in the U.S. National Climate Data Center's Global Summary of the Day. We define winter as the 3 month period leading up to and including the climatological sea ice maximum: January-February-March (JFM). Our analysis focuses on winter variations in features of extremes such as magnitudes, spatial scales, and temporal regimes. Using composites of extreme events, we also analyze the processes producing winter season extremes. We compare circulation, pressure, temperature, and humidity fields from the ERA-Interim reanalysis and the model output. Although the model produces lower amounts of extreme precipitation compared to observation, the model is simulating the physical forcing that is found during observed extreme events. Specifically, the model and reanalysis highlight the importance of low-level moisture advection and its interaction with topography. The analysis establishes the physical credibility of the simulations for extreme precipitation events in JFM and their associated atmospheric circulations, laying a foundation for examining projected changes in extreme precipitation. Text Arctic Sea ice Digital Repository @ Iowa State University Arctic |
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Open Polar |
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Digital Repository @ Iowa State University |
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ftiowastateuniv |
language |
English |
topic |
Precipitation extremes Regional climate modeling North American Arctic Topographical forcing Climate |
spellingShingle |
Precipitation extremes Regional climate modeling North American Arctic Topographical forcing Climate Glisan, Justin M. Gutowski, William J., Jr. WRF winter extreme daily precipitation over the North American CORDEX Arctic |
topic_facet |
Precipitation extremes Regional climate modeling North American Arctic Topographical forcing Climate |
description |
We analyze daily extremes of precipitation produced by a six-member ensemble of Pan-Arctic Weather Research and Forecasting that simulated 19 years on the Coordinated Regional Downscaling Experiment Arctic domain. Analysis focuses on four North American regions defined using climatological records, regional weather patterns, and geographical/topographical features. We compare simulated extremes for the winter season with those occurring at corresponding observing stations in the U.S. National Climate Data Center's Global Summary of the Day. We define winter as the 3 month period leading up to and including the climatological sea ice maximum: January-February-March (JFM). Our analysis focuses on winter variations in features of extremes such as magnitudes, spatial scales, and temporal regimes. Using composites of extreme events, we also analyze the processes producing winter season extremes. We compare circulation, pressure, temperature, and humidity fields from the ERA-Interim reanalysis and the model output. Although the model produces lower amounts of extreme precipitation compared to observation, the model is simulating the physical forcing that is found during observed extreme events. Specifically, the model and reanalysis highlight the importance of low-level moisture advection and its interaction with topography. The analysis establishes the physical credibility of the simulations for extreme precipitation events in JFM and their associated atmospheric circulations, laying a foundation for examining projected changes in extreme precipitation. |
format |
Text |
author |
Glisan, Justin M. Gutowski, William J., Jr. |
author_facet |
Glisan, Justin M. Gutowski, William J., Jr. |
author_sort |
Glisan, Justin M. |
title |
WRF winter extreme daily precipitation over the North American CORDEX Arctic |
title_short |
WRF winter extreme daily precipitation over the North American CORDEX Arctic |
title_full |
WRF winter extreme daily precipitation over the North American CORDEX Arctic |
title_fullStr |
WRF winter extreme daily precipitation over the North American CORDEX Arctic |
title_full_unstemmed |
WRF winter extreme daily precipitation over the North American CORDEX Arctic |
title_sort |
wrf winter extreme daily precipitation over the north american cordex arctic |
publisher |
Iowa State University Digital Repository |
publishDate |
2014 |
url |
https://lib.dr.iastate.edu/ge_at_pubs/87 https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1075&context=ge_at_pubs |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_source |
Geological and Atmospheric Sciences Publications |
op_relation |
https://lib.dr.iastate.edu/ge_at_pubs/87 https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1075&context=ge_at_pubs |
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1766320353244610560 |