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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ftunivtroemsoe:oai:munin.uit.no:10037/27992 2023-05-15T15:09:38+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 2022-11-15 https://hdl.handle.net/10037/27992 https://doi.org/10.1007/s10546-022-00762-1 eng eng Springer Boundary-Layer Meteorology Kähnert, Sodemann, Remes, Fortelius, Bazile, Esau. Spatial variability of nocturnal stability regimes in an operational weather prediction model. Boundary-Layer Meteorology. 2022:1-25 FRIDAID 2080100 doi:10.1007/s10546-022-00762-1 0006-8314 1573-1472 https://hdl.handle.net/10037/27992 Attribution 4.0 International (CC BY 4.0) openAccess Copyright 2022 The Author(s) https://creativecommons.org/licenses/by/4.0 CC-BY Journal article Tidsskriftartikkel Peer reviewed publishedVersion 2022 ftunivtroemsoe https://doi.org/10.1007/s10546-022-00762-1 2023-01-05T00:02:49Z 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. Article in Journal/Newspaper Arctic Sodankylä University of Tromsø: Munin Open Research Archive Arctic Sodankylä ENVELOPE(26.600,26.600,67.417,67.417) Boundary-Layer Meteorology |
institution |
Open Polar |
collection |
University of Tromsø: Munin Open Research Archive |
op_collection_id |
ftunivtroemsoe |
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. |
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/10037/27992 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_relation |
Boundary-Layer Meteorology Kähnert, Sodemann, Remes, Fortelius, Bazile, Esau. Spatial variability of nocturnal stability regimes in an operational weather prediction model. Boundary-Layer Meteorology. 2022:1-25 FRIDAID 2080100 doi:10.1007/s10546-022-00762-1 0006-8314 1573-1472 https://hdl.handle.net/10037/27992 |
op_rights |
Attribution 4.0 International (CC BY 4.0) openAccess Copyright 2022 The Author(s) https://creativecommons.org/licenses/by/4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1007/s10546-022-00762-1 |
container_title |
Boundary-Layer Meteorology |
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1766340787777306624 |