Evaluation of three numerical weather prediction models for the Weddell Sea region for the Austral winter 2013

It is widely recognized that numerical weather prediction (NWP) results for the Antarctic are relatively poor compared to the mid-latitudes. In this study, we evaluate output from three operational NWP systems: the ECMWF, Global Forecast System (GFS) and Antarctic Mesoscale Prediction System (AMPS),...

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Published in:Journal of Geophysical Research: Atmospheres
Main Authors: Jonassen, Marius Opsanger, Nygård, Tiina, Vihma, Timo Pekka
Format: Article in Journal/Newspaper
Language:English
Published: AGU 2021
Subjects:
Online Access:https://hdl.handle.net/11250/2990877
https://doi.org/10.1029/2020JD033389
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spelling ftunivbergen:oai:bora.uib.no:11250/2990877 2023-05-15T14:13:33+02:00 Evaluation of three numerical weather prediction models for the Weddell Sea region for the Austral winter 2013 Jonassen, Marius Opsanger Nygård, Tiina Vihma, Timo Pekka 2021 application/pdf https://hdl.handle.net/11250/2990877 https://doi.org/10.1029/2020JD033389 eng eng AGU urn:issn:2169-897X https://hdl.handle.net/11250/2990877 https://doi.org/10.1029/2020JD033389 cristin:1907009 Journal of Geophysical Research (JGR): Atmospheres. 2021, 126 (2), e2020JD033389. Navngivelse-Ikkekommersiell 4.0 Internasjonal http://creativecommons.org/licenses/by-nc/4.0/deed.no Copyright 2020 The Author(s) e2020JD033389 Journal of Geophysical Research (JGR): Atmospheres 126 2 Journal article Peer reviewed 2021 ftunivbergen https://doi.org/10.1029/2020JD033389 2023-03-14T17:43:28Z It is widely recognized that numerical weather prediction (NWP) results for the Antarctic are relatively poor compared to the mid-latitudes. In this study, we evaluate output from three operational NWP systems: the ECMWF, Global Forecast System (GFS) and Antarctic Mesoscale Prediction System (AMPS), for the Austral winter (June-August) of 2013 for the Weddell Sea region, paying special attention to regional patterns of error statistics. This is the first evaluation of NWP systems over the Southern Ocean that also addresses the accuracy of forecasted vertical profiles. In the evaluation, we use data from land- and ship-based automatic weather stations (AWS) and radiosoundings. While the ECMWF and AMPS forecasts are on average biased cold and dry near the surface, the GFS forecasts are on average biased warm and moist. The near-surface wind speed is on average overestimated by the AMPS forecasts, whereas it is slightly underestimated by the forecasts of the other two NWP systems. Among the variables investigated, all three NWP systems forecast the near-surface specific humidity most accurately, followed by the temperature and then the wind speed. The forecast quality for the near-surface and upper-air wind speed degrades the most rapidly with increasing lead time, compared to the other variables. ECMWF is the overall best NWP system when compared against both the near-surface and upper-air observations, followed by AMPS and then GFS. The generally poorest model performance is found in locations with complex terrain along the coast of the Antarctic continent, and the best over the ocean. publishedVersion Article in Journal/Newspaper Antarc* Antarctic Southern Ocean Weddell Sea University of Bergen: Bergen Open Research Archive (BORA-UiB) Antarctic Austral Southern Ocean The Antarctic Weddell Weddell Sea Journal of Geophysical Research: Atmospheres 126 2
institution Open Polar
collection University of Bergen: Bergen Open Research Archive (BORA-UiB)
op_collection_id ftunivbergen
language English
description It is widely recognized that numerical weather prediction (NWP) results for the Antarctic are relatively poor compared to the mid-latitudes. In this study, we evaluate output from three operational NWP systems: the ECMWF, Global Forecast System (GFS) and Antarctic Mesoscale Prediction System (AMPS), for the Austral winter (June-August) of 2013 for the Weddell Sea region, paying special attention to regional patterns of error statistics. This is the first evaluation of NWP systems over the Southern Ocean that also addresses the accuracy of forecasted vertical profiles. In the evaluation, we use data from land- and ship-based automatic weather stations (AWS) and radiosoundings. While the ECMWF and AMPS forecasts are on average biased cold and dry near the surface, the GFS forecasts are on average biased warm and moist. The near-surface wind speed is on average overestimated by the AMPS forecasts, whereas it is slightly underestimated by the forecasts of the other two NWP systems. Among the variables investigated, all three NWP systems forecast the near-surface specific humidity most accurately, followed by the temperature and then the wind speed. The forecast quality for the near-surface and upper-air wind speed degrades the most rapidly with increasing lead time, compared to the other variables. ECMWF is the overall best NWP system when compared against both the near-surface and upper-air observations, followed by AMPS and then GFS. The generally poorest model performance is found in locations with complex terrain along the coast of the Antarctic continent, and the best over the ocean. publishedVersion
format Article in Journal/Newspaper
author Jonassen, Marius Opsanger
Nygård, Tiina
Vihma, Timo Pekka
spellingShingle Jonassen, Marius Opsanger
Nygård, Tiina
Vihma, Timo Pekka
Evaluation of three numerical weather prediction models for the Weddell Sea region for the Austral winter 2013
author_facet Jonassen, Marius Opsanger
Nygård, Tiina
Vihma, Timo Pekka
author_sort Jonassen, Marius Opsanger
title Evaluation of three numerical weather prediction models for the Weddell Sea region for the Austral winter 2013
title_short Evaluation of three numerical weather prediction models for the Weddell Sea region for the Austral winter 2013
title_full Evaluation of three numerical weather prediction models for the Weddell Sea region for the Austral winter 2013
title_fullStr Evaluation of three numerical weather prediction models for the Weddell Sea region for the Austral winter 2013
title_full_unstemmed Evaluation of three numerical weather prediction models for the Weddell Sea region for the Austral winter 2013
title_sort evaluation of three numerical weather prediction models for the weddell sea region for the austral winter 2013
publisher AGU
publishDate 2021
url https://hdl.handle.net/11250/2990877
https://doi.org/10.1029/2020JD033389
geographic Antarctic
Austral
Southern Ocean
The Antarctic
Weddell
Weddell Sea
geographic_facet Antarctic
Austral
Southern Ocean
The Antarctic
Weddell
Weddell Sea
genre Antarc*
Antarctic
Southern Ocean
Weddell Sea
genre_facet Antarc*
Antarctic
Southern Ocean
Weddell Sea
op_source e2020JD033389
Journal of Geophysical Research (JGR): Atmospheres
126
2
op_relation urn:issn:2169-897X
https://hdl.handle.net/11250/2990877
https://doi.org/10.1029/2020JD033389
cristin:1907009
Journal of Geophysical Research (JGR): Atmospheres. 2021, 126 (2), e2020JD033389.
op_rights Navngivelse-Ikkekommersiell 4.0 Internasjonal
http://creativecommons.org/licenses/by-nc/4.0/deed.no
Copyright 2020 The Author(s)
op_doi https://doi.org/10.1029/2020JD033389
container_title Journal of Geophysical Research: Atmospheres
container_volume 126
container_issue 2
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