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A database of optimal integration times for Lagrangian studies of atmospheric moisture sources and sinks

Lagrangian methods for estimating sources and sinks of water vapour have increased in importance in recent years, with hundreds of publications over the past decade on this topic. Results derived from these approaches are, however, very sensitive to the integration time of the trajectories used in t...

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Autores principales: Nieto, Raquel, Gimeno, Luis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6522491/
https://www.ncbi.nlm.nih.gov/pubmed/31097721
http://dx.doi.org/10.1038/s41597-019-0068-8
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author Nieto, Raquel
Gimeno, Luis
author_facet Nieto, Raquel
Gimeno, Luis
author_sort Nieto, Raquel
collection PubMed
description Lagrangian methods for estimating sources and sinks of water vapour have increased in importance in recent years, with hundreds of publications over the past decade on this topic. Results derived from these approaches are, however, very sensitive to the integration time of the trajectories used in the analysis. The most widely used integration time is that derived from the average residence time of water vapour in the atmosphere, normally considered to be around 10 days. In this article, we propose an approach to estimate the optimal integration time for these Lagrangian methods for estimating sources and sinks, by comparing estimates of precipitation from the Lagrangian approach using different times of integration with results obtained from three state-of-the-art reanalyses, thereby providing a database of optimal integration times per month, for a spatial resolution of 0.25° × 0.25° in latitude and longitude.
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spelling pubmed-65224912019-05-20 A database of optimal integration times for Lagrangian studies of atmospheric moisture sources and sinks Nieto, Raquel Gimeno, Luis Sci Data Data Descriptor Lagrangian methods for estimating sources and sinks of water vapour have increased in importance in recent years, with hundreds of publications over the past decade on this topic. Results derived from these approaches are, however, very sensitive to the integration time of the trajectories used in the analysis. The most widely used integration time is that derived from the average residence time of water vapour in the atmosphere, normally considered to be around 10 days. In this article, we propose an approach to estimate the optimal integration time for these Lagrangian methods for estimating sources and sinks, by comparing estimates of precipitation from the Lagrangian approach using different times of integration with results obtained from three state-of-the-art reanalyses, thereby providing a database of optimal integration times per month, for a spatial resolution of 0.25° × 0.25° in latitude and longitude. Nature Publishing Group UK 2019-05-16 /pmc/articles/PMC6522491/ /pubmed/31097721 http://dx.doi.org/10.1038/s41597-019-0068-8 Text en © The Author(s) 2019 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/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.
spellingShingle Data Descriptor
Nieto, Raquel
Gimeno, Luis
A database of optimal integration times for Lagrangian studies of atmospheric moisture sources and sinks
title A database of optimal integration times for Lagrangian studies of atmospheric moisture sources and sinks
title_full A database of optimal integration times for Lagrangian studies of atmospheric moisture sources and sinks
title_fullStr A database of optimal integration times for Lagrangian studies of atmospheric moisture sources and sinks
title_full_unstemmed A database of optimal integration times for Lagrangian studies of atmospheric moisture sources and sinks
title_short A database of optimal integration times for Lagrangian studies of atmospheric moisture sources and sinks
title_sort database of optimal integration times for lagrangian studies of atmospheric moisture sources and sinks
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6522491/
https://www.ncbi.nlm.nih.gov/pubmed/31097721
http://dx.doi.org/10.1038/s41597-019-0068-8
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