Representation of small-scale processes of importance for polar regions in numerical weather prediction models
Representation of small-scale processes in the Polar regions are known to deteriorate the quality of weather forecasts and generate biases in climate simulations. The focus of the YOPP process task team has been to understand the cause of these biases for processes that are more prevailing in these...
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ftgfzpotsdam:oai:gfzpublic.gfz-potsdam.de:item_5021041 2023-07-30T04:01:48+02:00 Representation of small-scale processes of importance for polar regions in numerical weather prediction models Svensson, G. 2023-07-11 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5021041 eng eng info:eu-repo/semantics/altIdentifier/doi/10.57757/IUGG23-4632 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5021041 XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) info:eu-repo/semantics/conferenceObject 2023 ftgfzpotsdam https://doi.org/10.57757/IUGG23-4632 2023-07-16T23:40:28Z Representation of small-scale processes in the Polar regions are known to deteriorate the quality of weather forecasts and generate biases in climate simulations. The focus of the YOPP process task team has been to understand the cause of these biases for processes that are more prevailing in these regions, such as turbulence in stably stratified boundary layers, mixed-phase clouds and fluxes important for the exchange between the atmosphere and the underlying snow and/or sea ice. Findings from the YOPPsiteMIP project, that is based on land stations around the Arctic ocean and a suite of forecast models will be presented. The representation of the transformation of a warm and moist airmass in the ECMWF IFS forecasts and ERA5 on its way northward during the YOPP-MOSAiC targeted observational period (TOP) will be discussed. How these biases can be understood through experiments with a coupled atmosphere ocean single column model, the AOSCM, will also be presented. If time allows, planned community activities with the aim to further advance the understanding of process representation will be described. Conference Object Arctic Arctic Ocean Sea ice GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam) Arctic Arctic Ocean |
institution |
Open Polar |
collection |
GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam) |
op_collection_id |
ftgfzpotsdam |
language |
English |
description |
Representation of small-scale processes in the Polar regions are known to deteriorate the quality of weather forecasts and generate biases in climate simulations. The focus of the YOPP process task team has been to understand the cause of these biases for processes that are more prevailing in these regions, such as turbulence in stably stratified boundary layers, mixed-phase clouds and fluxes important for the exchange between the atmosphere and the underlying snow and/or sea ice. Findings from the YOPPsiteMIP project, that is based on land stations around the Arctic ocean and a suite of forecast models will be presented. The representation of the transformation of a warm and moist airmass in the ECMWF IFS forecasts and ERA5 on its way northward during the YOPP-MOSAiC targeted observational period (TOP) will be discussed. How these biases can be understood through experiments with a coupled atmosphere ocean single column model, the AOSCM, will also be presented. If time allows, planned community activities with the aim to further advance the understanding of process representation will be described. |
format |
Conference Object |
author |
Svensson, G. |
spellingShingle |
Svensson, G. Representation of small-scale processes of importance for polar regions in numerical weather prediction models |
author_facet |
Svensson, G. |
author_sort |
Svensson, G. |
title |
Representation of small-scale processes of importance for polar regions in numerical weather prediction models |
title_short |
Representation of small-scale processes of importance for polar regions in numerical weather prediction models |
title_full |
Representation of small-scale processes of importance for polar regions in numerical weather prediction models |
title_fullStr |
Representation of small-scale processes of importance for polar regions in numerical weather prediction models |
title_full_unstemmed |
Representation of small-scale processes of importance for polar regions in numerical weather prediction models |
title_sort |
representation of small-scale processes of importance for polar regions in numerical weather prediction models |
publishDate |
2023 |
url |
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5021041 |
geographic |
Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
Arctic Arctic Ocean Sea ice |
genre_facet |
Arctic Arctic Ocean Sea ice |
op_source |
XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.57757/IUGG23-4632 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5021041 |
op_doi |
https://doi.org/10.57757/IUGG23-4632 |
_version_ |
1772812551431651328 |