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Quantifying the circulation induced by convective clouds in kilometer‐scale simulations
The complex coupling between the large‐scale atmospheric circulation, which is explicitly resolved in modern numerical weather and climate models, and cloud‐related diabatic processes, which are parameterized, is an important source of error in weather predictions and climate projections. To quantif...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Ltd
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8248071/ https://www.ncbi.nlm.nih.gov/pubmed/34219818 http://dx.doi.org/10.1002/qj.3992 |
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author | Oertel, Annika Schemm, Sebastian |
author_facet | Oertel, Annika Schemm, Sebastian |
author_sort | Oertel, Annika |
collection | PubMed |
description | The complex coupling between the large‐scale atmospheric circulation, which is explicitly resolved in modern numerical weather and climate models, and cloud‐related diabatic processes, which are parameterized, is an important source of error in weather predictions and climate projections. To quantify the interactions between clouds and the large‐scale circulation, a method is employed that attributes a far‐ and near‐field circulation to the cloud system. The method reconstructs the cloud‐induced flow based on estimates of vorticity and divergence over a limited domain and does not require the definition of a background flow. It is subsequently applied to 12‐ and 2‐km simulations of convective clouds, which form within the large‐scale cloud band ahead of the upper‐level jet associated with an extratropical cyclone over the North Atlantic. The cloud‐induced circulation is directed against the jet, reaches up to 10 m·s(−1), and compares well between both simulations. The flow direction is in agreement with what can be expected from a vorticity dipole that forms in the vicinity of the clouds. Hence, in the presence of embedded convection, the wind speed does not steadily decrease away from the jet, as it does in cloud‐free regions, but exhibits a pronounced negative anomaly, which can now be explained by the cloud‐induced circulation. Furthermore, the direction of the reconstructed circulation suggests that the cloud induces a flow that counteracts its advection by the jet. Convective clouds therefore propagate more slowly than their surroundings, which may affect the distribution of precipitation. The method could be used to compare cloud‐induced flow at different resolutions and between different parameterizations. |
format | Online Article Text |
id | pubmed-8248071 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley & Sons, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-82480712021-07-02 Quantifying the circulation induced by convective clouds in kilometer‐scale simulations Oertel, Annika Schemm, Sebastian Q J R Meteorol Soc Feature Articles The complex coupling between the large‐scale atmospheric circulation, which is explicitly resolved in modern numerical weather and climate models, and cloud‐related diabatic processes, which are parameterized, is an important source of error in weather predictions and climate projections. To quantify the interactions between clouds and the large‐scale circulation, a method is employed that attributes a far‐ and near‐field circulation to the cloud system. The method reconstructs the cloud‐induced flow based on estimates of vorticity and divergence over a limited domain and does not require the definition of a background flow. It is subsequently applied to 12‐ and 2‐km simulations of convective clouds, which form within the large‐scale cloud band ahead of the upper‐level jet associated with an extratropical cyclone over the North Atlantic. The cloud‐induced circulation is directed against the jet, reaches up to 10 m·s(−1), and compares well between both simulations. The flow direction is in agreement with what can be expected from a vorticity dipole that forms in the vicinity of the clouds. Hence, in the presence of embedded convection, the wind speed does not steadily decrease away from the jet, as it does in cloud‐free regions, but exhibits a pronounced negative anomaly, which can now be explained by the cloud‐induced circulation. Furthermore, the direction of the reconstructed circulation suggests that the cloud induces a flow that counteracts its advection by the jet. Convective clouds therefore propagate more slowly than their surroundings, which may affect the distribution of precipitation. The method could be used to compare cloud‐induced flow at different resolutions and between different parameterizations. John Wiley & Sons, Ltd 2021-02-22 2021-04 /pmc/articles/PMC8248071/ /pubmed/34219818 http://dx.doi.org/10.1002/qj.3992 Text en © 2021 The Authors. Quarterly Journal of the Royal Meteorological Society published by John Wiley & Sons Ltd on behalf of the Royal Meteorological Society. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Feature Articles Oertel, Annika Schemm, Sebastian Quantifying the circulation induced by convective clouds in kilometer‐scale simulations |
title | Quantifying the circulation induced by convective clouds in kilometer‐scale simulations |
title_full | Quantifying the circulation induced by convective clouds in kilometer‐scale simulations |
title_fullStr | Quantifying the circulation induced by convective clouds in kilometer‐scale simulations |
title_full_unstemmed | Quantifying the circulation induced by convective clouds in kilometer‐scale simulations |
title_short | Quantifying the circulation induced by convective clouds in kilometer‐scale simulations |
title_sort | quantifying the circulation induced by convective clouds in kilometer‐scale simulations |
topic | Feature Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8248071/ https://www.ncbi.nlm.nih.gov/pubmed/34219818 http://dx.doi.org/10.1002/qj.3992 |
work_keys_str_mv | AT oertelannika quantifyingthecirculationinducedbyconvectivecloudsinkilometerscalesimulations AT schemmsebastian quantifyingthecirculationinducedbyconvectivecloudsinkilometerscalesimulations |