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Closing the sea surface mixed layer temperature budget from in situ observations alone: Operation Advection during BoBBLE
Sea surface temperature (SST) is a fundamental driver of tropical weather systems such as monsoon rainfall and tropical cyclones. However, understanding of the factors that control SST variability is lacking, especially during the monsoons when in situ observations are sparse. Here we use a ground-b...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7184617/ https://www.ncbi.nlm.nih.gov/pubmed/32341370 http://dx.doi.org/10.1038/s41598-020-63320-0 |
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author | Vijith, V. Vinayachandran, P. N. Webber, Benjamin G. M. Matthews, Adrian J. George, Jenson V. Kannaujia, Vijay Kumar Lotliker, Aneesh A. Amol, P. |
author_facet | Vijith, V. Vinayachandran, P. N. Webber, Benjamin G. M. Matthews, Adrian J. George, Jenson V. Kannaujia, Vijay Kumar Lotliker, Aneesh A. Amol, P. |
author_sort | Vijith, V. |
collection | PubMed |
description | Sea surface temperature (SST) is a fundamental driver of tropical weather systems such as monsoon rainfall and tropical cyclones. However, understanding of the factors that control SST variability is lacking, especially during the monsoons when in situ observations are sparse. Here we use a ground-breaking observational approach to determine the controls on the SST variability in the southern Bay of Bengal. We achieve this through the first full closure of the ocean mixed layer energy budget derived entirely from in situ observations during the Bay of Bengal Boundary Layer Experiment (BoBBLE). Locally measured horizontal advection and entrainment contribute more significantly than expected to SST evolution and thus oceanic variability during the observation period. These processes are poorly resolved by state-of-the-art climate models, which may contribute to poor representation of monsoon rainfall variability. The novel techniques presented here provide a blueprint for future observational experiments to quantify the mixed layer heat budget on longer time scales and to evaluate these processes in models. |
format | Online Article Text |
id | pubmed-7184617 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-71846172020-04-29 Closing the sea surface mixed layer temperature budget from in situ observations alone: Operation Advection during BoBBLE Vijith, V. Vinayachandran, P. N. Webber, Benjamin G. M. Matthews, Adrian J. George, Jenson V. Kannaujia, Vijay Kumar Lotliker, Aneesh A. Amol, P. Sci Rep Article Sea surface temperature (SST) is a fundamental driver of tropical weather systems such as monsoon rainfall and tropical cyclones. However, understanding of the factors that control SST variability is lacking, especially during the monsoons when in situ observations are sparse. Here we use a ground-breaking observational approach to determine the controls on the SST variability in the southern Bay of Bengal. We achieve this through the first full closure of the ocean mixed layer energy budget derived entirely from in situ observations during the Bay of Bengal Boundary Layer Experiment (BoBBLE). Locally measured horizontal advection and entrainment contribute more significantly than expected to SST evolution and thus oceanic variability during the observation period. These processes are poorly resolved by state-of-the-art climate models, which may contribute to poor representation of monsoon rainfall variability. The novel techniques presented here provide a blueprint for future observational experiments to quantify the mixed layer heat budget on longer time scales and to evaluate these processes in models. Nature Publishing Group UK 2020-04-27 /pmc/articles/PMC7184617/ /pubmed/32341370 http://dx.doi.org/10.1038/s41598-020-63320-0 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Vijith, V. Vinayachandran, P. N. Webber, Benjamin G. M. Matthews, Adrian J. George, Jenson V. Kannaujia, Vijay Kumar Lotliker, Aneesh A. Amol, P. Closing the sea surface mixed layer temperature budget from in situ observations alone: Operation Advection during BoBBLE |
title | Closing the sea surface mixed layer temperature budget from in situ observations alone: Operation Advection during BoBBLE |
title_full | Closing the sea surface mixed layer temperature budget from in situ observations alone: Operation Advection during BoBBLE |
title_fullStr | Closing the sea surface mixed layer temperature budget from in situ observations alone: Operation Advection during BoBBLE |
title_full_unstemmed | Closing the sea surface mixed layer temperature budget from in situ observations alone: Operation Advection during BoBBLE |
title_short | Closing the sea surface mixed layer temperature budget from in situ observations alone: Operation Advection during BoBBLE |
title_sort | closing the sea surface mixed layer temperature budget from in situ observations alone: operation advection during bobble |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7184617/ https://www.ncbi.nlm.nih.gov/pubmed/32341370 http://dx.doi.org/10.1038/s41598-020-63320-0 |
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