On the utility of individual tendency output: Revealing interactions between parameterized processes during a marine cold air outbreak
Forecasts of marine cold air outbreaks critically rely on the interplay of multiple parameterization schemes to represent subgrid-scale processes, including shallow convection, turbulence, and microphysics. Even though such an interplay has been recognized to contribute to forecast uncertainty, a qu...
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ftunivbergen:oai:bora.uib.no:11250/2992138 2023-05-15T15:09:23+02:00 On the utility of individual tendency output: Revealing interactions between parameterized processes during a marine cold air outbreak Kähnert, Marvin Sodemann, Harald de Rooy, Wim Valkonen, Teresa Maaria 2021 application/pdf https://hdl.handle.net/11250/2992138 https://doi.org/10.1175/WAF-D-21-0014.1 eng eng AMS Norges forskningsråd: 280573 urn:issn:0882-8156 https://hdl.handle.net/11250/2992138 https://doi.org/10.1175/WAF-D-21-0014.1 cristin:1953154 Weather and forecasting. 2021, 36 (6), 1985-2000. Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no Copyright 2021 American Meteorological Society Weather and forecasting 1985-2000 36 6 Journal article Peer reviewed 2021 ftunivbergen https://doi.org/10.1175/WAF-D-21-0014.1 2023-03-14T17:39:29Z Forecasts of marine cold air outbreaks critically rely on the interplay of multiple parameterization schemes to represent subgrid-scale processes, including shallow convection, turbulence, and microphysics. Even though such an interplay has been recognized to contribute to forecast uncertainty, a quantification of this interplay is still missing. Here, we investigate the tendencies of temperature and specific humidity contributed by individual parameterization schemes in the operational weather prediction model AROME-Arctic. From a case study of an extensive marine cold air outbreak over the Nordic seas, we find that the type of planetary boundary layer assigned by the model algorithm modulates the contribution of individual schemes and affects the interactions between different schemes. In addition, we demonstrate the sensitivity of these interactions to an increase or decrease in the strength of the parameterized shallow convection. The individual tendencies from several parameterizations can thereby compensate each other, sometimes resulting in a small residual. In some instances this residual remains nearly unchanged between the sensitivity experiments, even though some individual tendencies differ by up to an order of magnitude. Using the individual tendency output, we can characterize the subgrid-scale as well as grid-scale responses of the model and trace them back to their underlying causes. We thereby highlight the utility of individual tendency output for understanding process-related differences between model runs with varying physical configurations and for the continued development of numerical weather prediction models. publishedVersion Article in Journal/Newspaper Arctic Nordic Seas University of Bergen: Bergen Open Research Archive (BORA-UiB) Arctic Weather and Forecasting |
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Open Polar |
collection |
University of Bergen: Bergen Open Research Archive (BORA-UiB) |
op_collection_id |
ftunivbergen |
language |
English |
description |
Forecasts of marine cold air outbreaks critically rely on the interplay of multiple parameterization schemes to represent subgrid-scale processes, including shallow convection, turbulence, and microphysics. Even though such an interplay has been recognized to contribute to forecast uncertainty, a quantification of this interplay is still missing. Here, we investigate the tendencies of temperature and specific humidity contributed by individual parameterization schemes in the operational weather prediction model AROME-Arctic. From a case study of an extensive marine cold air outbreak over the Nordic seas, we find that the type of planetary boundary layer assigned by the model algorithm modulates the contribution of individual schemes and affects the interactions between different schemes. In addition, we demonstrate the sensitivity of these interactions to an increase or decrease in the strength of the parameterized shallow convection. The individual tendencies from several parameterizations can thereby compensate each other, sometimes resulting in a small residual. In some instances this residual remains nearly unchanged between the sensitivity experiments, even though some individual tendencies differ by up to an order of magnitude. Using the individual tendency output, we can characterize the subgrid-scale as well as grid-scale responses of the model and trace them back to their underlying causes. We thereby highlight the utility of individual tendency output for understanding process-related differences between model runs with varying physical configurations and for the continued development of numerical weather prediction models. publishedVersion |
format |
Article in Journal/Newspaper |
author |
Kähnert, Marvin Sodemann, Harald de Rooy, Wim Valkonen, Teresa Maaria |
spellingShingle |
Kähnert, Marvin Sodemann, Harald de Rooy, Wim Valkonen, Teresa Maaria On the utility of individual tendency output: Revealing interactions between parameterized processes during a marine cold air outbreak |
author_facet |
Kähnert, Marvin Sodemann, Harald de Rooy, Wim Valkonen, Teresa Maaria |
author_sort |
Kähnert, Marvin |
title |
On the utility of individual tendency output: Revealing interactions between parameterized processes during a marine cold air outbreak |
title_short |
On the utility of individual tendency output: Revealing interactions between parameterized processes during a marine cold air outbreak |
title_full |
On the utility of individual tendency output: Revealing interactions between parameterized processes during a marine cold air outbreak |
title_fullStr |
On the utility of individual tendency output: Revealing interactions between parameterized processes during a marine cold air outbreak |
title_full_unstemmed |
On the utility of individual tendency output: Revealing interactions between parameterized processes during a marine cold air outbreak |
title_sort |
on the utility of individual tendency output: revealing interactions between parameterized processes during a marine cold air outbreak |
publisher |
AMS |
publishDate |
2021 |
url |
https://hdl.handle.net/11250/2992138 https://doi.org/10.1175/WAF-D-21-0014.1 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Nordic Seas |
genre_facet |
Arctic Nordic Seas |
op_source |
Weather and forecasting 1985-2000 36 6 |
op_relation |
Norges forskningsråd: 280573 urn:issn:0882-8156 https://hdl.handle.net/11250/2992138 https://doi.org/10.1175/WAF-D-21-0014.1 cristin:1953154 Weather and forecasting. 2021, 36 (6), 1985-2000. |
op_rights |
Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no Copyright 2021 American Meteorological Society |
op_doi |
https://doi.org/10.1175/WAF-D-21-0014.1 |
container_title |
Weather and Forecasting |
_version_ |
1766340584397602816 |