Evaluating large-domain, hecto-meter, large-eddy simulations of trade-wind clouds using EUREC4A data
The meso-scale variability in cloudiness of the marine trade-wind layer is explored with large-eddy simulations of regional extent and validated against observations of the EUREC4A field campaign. 41 days of realistically forced simulations present a representative, sta- tistical view on shallow con...
Published in: | Journal of Advances in Modeling Earth Systems |
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Online Access: | http://hdl.handle.net/21.11116/0000-000C-81AE-E http://hdl.handle.net/21.11116/0000-000D-710F-4 http://hdl.handle.net/21.11116/0000-000D-D58C-5 |
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ftpubman:oai:pure.mpg.de:item_3489026 2024-09-09T19:57:13+00:00 Evaluating large-domain, hecto-meter, large-eddy simulations of trade-wind clouds using EUREC4A data Schulz, H. Stevens, B. 2023-10 application/pdf http://hdl.handle.net/21.11116/0000-000C-81AE-E http://hdl.handle.net/21.11116/0000-000D-710F-4 http://hdl.handle.net/21.11116/0000-000D-D58C-5 eng eng info:eu-repo/grantAgreement/EC/H2020/82082 info:eu-repo/semantics/altIdentifier/doi/10.1029/2023MS003648 http://hdl.handle.net/21.11116/0000-000C-81AE-E http://hdl.handle.net/21.11116/0000-000D-710F-4 http://hdl.handle.net/21.11116/0000-000D-D58C-5 info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ Journal of Advances in Modeling Earth Systems info:eu-repo/semantics/article 2023 ftpubman https://doi.org/10.1029/2023MS003648 2024-06-18T14:12:31Z The meso-scale variability in cloudiness of the marine trade-wind layer is explored with large-eddy simulations of regional extent and validated against observations of the EUREC4A field campaign. 41 days of realistically forced simulations present a representative, sta- tistical view on shallow convection in the winter North Atlantic trades that includes a wide range of meso-scale variability including the four recently identified patterns of spa- tial organization: Sugar , Gravel , Flowers and Fish . The results show that cloud cover is on average captured well but with discrepancies in its vertical and spatial distribution. Cloudiness at the lifting condensation level depends on the model resolution with the finer one producing on average a more realistic cloud profile. Independent of the reso- lution, the variability in cloudiness below the trade inversion is not captured, leading to a lack of stratiform cloudiness with implications on the detectability of meso-scale pat- terns whose cloud patches are characterized by stratiform clouds. The simulations tend to precipitate more frequently than observed, with a narrower distribution of echo in- tensities. The observed co-variability between cloudiness and environmental conditions is well captured. Article in Journal/Newspaper North Atlantic Max Planck Society: MPG.PuRe Journal of Advances in Modeling Earth Systems 15 10 |
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Open Polar |
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Max Planck Society: MPG.PuRe |
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ftpubman |
language |
English |
description |
The meso-scale variability in cloudiness of the marine trade-wind layer is explored with large-eddy simulations of regional extent and validated against observations of the EUREC4A field campaign. 41 days of realistically forced simulations present a representative, sta- tistical view on shallow convection in the winter North Atlantic trades that includes a wide range of meso-scale variability including the four recently identified patterns of spa- tial organization: Sugar , Gravel , Flowers and Fish . The results show that cloud cover is on average captured well but with discrepancies in its vertical and spatial distribution. Cloudiness at the lifting condensation level depends on the model resolution with the finer one producing on average a more realistic cloud profile. Independent of the reso- lution, the variability in cloudiness below the trade inversion is not captured, leading to a lack of stratiform cloudiness with implications on the detectability of meso-scale pat- terns whose cloud patches are characterized by stratiform clouds. The simulations tend to precipitate more frequently than observed, with a narrower distribution of echo in- tensities. The observed co-variability between cloudiness and environmental conditions is well captured. |
format |
Article in Journal/Newspaper |
author |
Schulz, H. Stevens, B. |
spellingShingle |
Schulz, H. Stevens, B. Evaluating large-domain, hecto-meter, large-eddy simulations of trade-wind clouds using EUREC4A data |
author_facet |
Schulz, H. Stevens, B. |
author_sort |
Schulz, H. |
title |
Evaluating large-domain, hecto-meter, large-eddy simulations of trade-wind clouds using EUREC4A data |
title_short |
Evaluating large-domain, hecto-meter, large-eddy simulations of trade-wind clouds using EUREC4A data |
title_full |
Evaluating large-domain, hecto-meter, large-eddy simulations of trade-wind clouds using EUREC4A data |
title_fullStr |
Evaluating large-domain, hecto-meter, large-eddy simulations of trade-wind clouds using EUREC4A data |
title_full_unstemmed |
Evaluating large-domain, hecto-meter, large-eddy simulations of trade-wind clouds using EUREC4A data |
title_sort |
evaluating large-domain, hecto-meter, large-eddy simulations of trade-wind clouds using eurec4a data |
publishDate |
2023 |
url |
http://hdl.handle.net/21.11116/0000-000C-81AE-E http://hdl.handle.net/21.11116/0000-000D-710F-4 http://hdl.handle.net/21.11116/0000-000D-D58C-5 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Journal of Advances in Modeling Earth Systems |
op_relation |
info:eu-repo/grantAgreement/EC/H2020/82082 info:eu-repo/semantics/altIdentifier/doi/10.1029/2023MS003648 http://hdl.handle.net/21.11116/0000-000C-81AE-E http://hdl.handle.net/21.11116/0000-000D-710F-4 http://hdl.handle.net/21.11116/0000-000D-D58C-5 |
op_rights |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1029/2023MS003648 |
container_title |
Journal of Advances in Modeling Earth Systems |
container_volume |
15 |
container_issue |
10 |
_version_ |
1809928115011452928 |