Spatial variability of nocturnal stability regimes in an operational weather prediction model
Forecast errors in near-surface temperatures are a persistent issue for numerical weather prediction models. A prominent example is warm biases during cloud-free, snow-covered nights. Many studies attribute these biases to parametrized processes such as turbulence or radiation. Here, we focus on the...
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ftunivbergen:oai:bora.uib.no:11250/3039940 2023-05-15T15:09:50+02:00 Spatial variability of nocturnal stability regimes in an operational weather prediction model Kähnert, Marvin Sodemann, Harald Remes, Teresa Maaria Fortelius, Carl Bazile, Eric Esau, Igor 2022 application/pdf https://hdl.handle.net/11250/3039940 https://doi.org/10.1007/s10546-022-00762-1 eng eng Springer Norges forskningsråd: 280573 urn:issn:0006-8314 https://hdl.handle.net/11250/3039940 https://doi.org/10.1007/s10546-022-00762-1 cristin:2080100 Boundary-Layer Meteorology. 2022. Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no Copyright 2022 the authors Boundary-Layer Meteorology Journal article Peer reviewed 2022 ftunivbergen https://doi.org/10.1007/s10546-022-00762-1 2023-03-14T17:41:11Z Forecast errors in near-surface temperatures are a persistent issue for numerical weather prediction models. A prominent example is warm biases during cloud-free, snow-covered nights. Many studies attribute these biases to parametrized processes such as turbulence or radiation. Here, we focus on the contribution of physical processes to the nocturnal temperature development. We compare model timestep output of individual tendencies from parametrized processes in the weather prediction model AROME-Arctic to measurements from Sodankylä, Finland. Thereby, we differentiate between the weakly stable boundary layer (wSBL) and the very stable boundary layer (vSBL) regimes. The wSBL is characterized by continuous turbulent exchange within the near-surface atmosphere, causing near-neutral temperature profiles. The vSBL is characterized by a decoupling of the lowermost model level, low turbulent exchange, and very stable temperature profiles. In our case study, both regimes occur simultaneously on small spatial scales of about 5 km. In addition, we demonstrate the model’s sensitivity towards an updated surface treatment, allowing for faster surface cooling. The updated surface parametrization has profound impacts on parametrized processes in both regimes. However, only modelled temperatures in the vSBL are impacted substantially, whereas more efficient surface cooling in the wSBL is compensated by an increased turbulent heat transport within the boundary layer. This study demonstrates the utility of individual tendencies for understanding process-related differences between model configurations and emphasizes the need for model studies to distinguish between the wSBL and vSBL for reliable model verification. publishedVersion Article in Journal/Newspaper Arctic Sodankylä University of Bergen: Bergen Open Research Archive (BORA-UiB) Arctic Sodankylä ENVELOPE(26.600,26.600,67.417,67.417) Boundary-Layer Meteorology 186 2 373 397 |
institution |
Open Polar |
collection |
University of Bergen: Bergen Open Research Archive (BORA-UiB) |
op_collection_id |
ftunivbergen |
language |
English |
description |
Forecast errors in near-surface temperatures are a persistent issue for numerical weather prediction models. A prominent example is warm biases during cloud-free, snow-covered nights. Many studies attribute these biases to parametrized processes such as turbulence or radiation. Here, we focus on the contribution of physical processes to the nocturnal temperature development. We compare model timestep output of individual tendencies from parametrized processes in the weather prediction model AROME-Arctic to measurements from Sodankylä, Finland. Thereby, we differentiate between the weakly stable boundary layer (wSBL) and the very stable boundary layer (vSBL) regimes. The wSBL is characterized by continuous turbulent exchange within the near-surface atmosphere, causing near-neutral temperature profiles. The vSBL is characterized by a decoupling of the lowermost model level, low turbulent exchange, and very stable temperature profiles. In our case study, both regimes occur simultaneously on small spatial scales of about 5 km. In addition, we demonstrate the model’s sensitivity towards an updated surface treatment, allowing for faster surface cooling. The updated surface parametrization has profound impacts on parametrized processes in both regimes. However, only modelled temperatures in the vSBL are impacted substantially, whereas more efficient surface cooling in the wSBL is compensated by an increased turbulent heat transport within the boundary layer. This study demonstrates the utility of individual tendencies for understanding process-related differences between model configurations and emphasizes the need for model studies to distinguish between the wSBL and vSBL for reliable model verification. publishedVersion |
format |
Article in Journal/Newspaper |
author |
Kähnert, Marvin Sodemann, Harald Remes, Teresa Maaria Fortelius, Carl Bazile, Eric Esau, Igor |
spellingShingle |
Kähnert, Marvin Sodemann, Harald Remes, Teresa Maaria Fortelius, Carl Bazile, Eric Esau, Igor Spatial variability of nocturnal stability regimes in an operational weather prediction model |
author_facet |
Kähnert, Marvin Sodemann, Harald Remes, Teresa Maaria Fortelius, Carl Bazile, Eric Esau, Igor |
author_sort |
Kähnert, Marvin |
title |
Spatial variability of nocturnal stability regimes in an operational weather prediction model |
title_short |
Spatial variability of nocturnal stability regimes in an operational weather prediction model |
title_full |
Spatial variability of nocturnal stability regimes in an operational weather prediction model |
title_fullStr |
Spatial variability of nocturnal stability regimes in an operational weather prediction model |
title_full_unstemmed |
Spatial variability of nocturnal stability regimes in an operational weather prediction model |
title_sort |
spatial variability of nocturnal stability regimes in an operational weather prediction model |
publisher |
Springer |
publishDate |
2022 |
url |
https://hdl.handle.net/11250/3039940 https://doi.org/10.1007/s10546-022-00762-1 |
long_lat |
ENVELOPE(26.600,26.600,67.417,67.417) |
geographic |
Arctic Sodankylä |
geographic_facet |
Arctic Sodankylä |
genre |
Arctic Sodankylä |
genre_facet |
Arctic Sodankylä |
op_source |
Boundary-Layer Meteorology |
op_relation |
Norges forskningsråd: 280573 urn:issn:0006-8314 https://hdl.handle.net/11250/3039940 https://doi.org/10.1007/s10546-022-00762-1 cristin:2080100 Boundary-Layer Meteorology. 2022. |
op_rights |
Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no Copyright 2022 the authors |
op_doi |
https://doi.org/10.1007/s10546-022-00762-1 |
container_title |
Boundary-Layer Meteorology |
container_volume |
186 |
container_issue |
2 |
container_start_page |
373 |
op_container_end_page |
397 |
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1766340938445094912 |