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Satellite-derived multivariate world-wide lake physical variable timeseries for climate studies
A consistent dataset of lake surface water temperature, ice cover, water-leaving reflectance, water level and extent is presented. The collection constitutes the Lakes Essential Climate Variable (ECV) for inland waters. The data span combined satellite observations from 1992 to 2020 inclusive and qu...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9840620/ https://www.ncbi.nlm.nih.gov/pubmed/36641528 http://dx.doi.org/10.1038/s41597-022-01889-z |
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author | Carrea, Laura Crétaux, Jean-François Liu, Xiaohan Wu, Yuhao Calmettes, Beatriz Duguay, Claude R. Merchant, Christopher J. Selmes, Nick Simis, Stefan G. H. Warren, Mark Yesou, Hervé Müller, Dagmar Jiang, Dalin Embury, Owen Bergé-Nguyen, Muriel Albergel, Clément |
author_facet | Carrea, Laura Crétaux, Jean-François Liu, Xiaohan Wu, Yuhao Calmettes, Beatriz Duguay, Claude R. Merchant, Christopher J. Selmes, Nick Simis, Stefan G. H. Warren, Mark Yesou, Hervé Müller, Dagmar Jiang, Dalin Embury, Owen Bergé-Nguyen, Muriel Albergel, Clément |
author_sort | Carrea, Laura |
collection | PubMed |
description | A consistent dataset of lake surface water temperature, ice cover, water-leaving reflectance, water level and extent is presented. The collection constitutes the Lakes Essential Climate Variable (ECV) for inland waters. The data span combined satellite observations from 1992 to 2020 inclusive and quantifies over 2000 relatively large lakes, which represent a small fraction of the number of lakes worldwide but a significant fraction of global freshwater surface. Visible and near-infrared optical imagery, thermal imagery and microwave radar data from satellites have been exploited. All observations are provided in a common grid at 1/120° latitude-longitude resolution, jointly in daily files. The data/algorithms have been validated against in situ measurements where possible. Consistency analysis between the variables has guided the development of the joint dataset. It is the most complete collection of consistent satellite observations of the Lakes ECV currently available. Lakes are of significant interest to scientific disciplines such as hydrology, limnology, climatology, biogeochemistry and geodesy. They are a vital resource for freshwater supply, and key sentinels for global environmental change. |
format | Online Article Text |
id | pubmed-9840620 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-98406202023-01-16 Satellite-derived multivariate world-wide lake physical variable timeseries for climate studies Carrea, Laura Crétaux, Jean-François Liu, Xiaohan Wu, Yuhao Calmettes, Beatriz Duguay, Claude R. Merchant, Christopher J. Selmes, Nick Simis, Stefan G. H. Warren, Mark Yesou, Hervé Müller, Dagmar Jiang, Dalin Embury, Owen Bergé-Nguyen, Muriel Albergel, Clément Sci Data Data Descriptor A consistent dataset of lake surface water temperature, ice cover, water-leaving reflectance, water level and extent is presented. The collection constitutes the Lakes Essential Climate Variable (ECV) for inland waters. The data span combined satellite observations from 1992 to 2020 inclusive and quantifies over 2000 relatively large lakes, which represent a small fraction of the number of lakes worldwide but a significant fraction of global freshwater surface. Visible and near-infrared optical imagery, thermal imagery and microwave radar data from satellites have been exploited. All observations are provided in a common grid at 1/120° latitude-longitude resolution, jointly in daily files. The data/algorithms have been validated against in situ measurements where possible. Consistency analysis between the variables has guided the development of the joint dataset. It is the most complete collection of consistent satellite observations of the Lakes ECV currently available. Lakes are of significant interest to scientific disciplines such as hydrology, limnology, climatology, biogeochemistry and geodesy. They are a vital resource for freshwater supply, and key sentinels for global environmental change. Nature Publishing Group UK 2023-01-14 /pmc/articles/PMC9840620/ /pubmed/36641528 http://dx.doi.org/10.1038/s41597-022-01889-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Carrea, Laura Crétaux, Jean-François Liu, Xiaohan Wu, Yuhao Calmettes, Beatriz Duguay, Claude R. Merchant, Christopher J. Selmes, Nick Simis, Stefan G. H. Warren, Mark Yesou, Hervé Müller, Dagmar Jiang, Dalin Embury, Owen Bergé-Nguyen, Muriel Albergel, Clément Satellite-derived multivariate world-wide lake physical variable timeseries for climate studies |
title | Satellite-derived multivariate world-wide lake physical variable timeseries for climate studies |
title_full | Satellite-derived multivariate world-wide lake physical variable timeseries for climate studies |
title_fullStr | Satellite-derived multivariate world-wide lake physical variable timeseries for climate studies |
title_full_unstemmed | Satellite-derived multivariate world-wide lake physical variable timeseries for climate studies |
title_short | Satellite-derived multivariate world-wide lake physical variable timeseries for climate studies |
title_sort | satellite-derived multivariate world-wide lake physical variable timeseries for climate studies |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9840620/ https://www.ncbi.nlm.nih.gov/pubmed/36641528 http://dx.doi.org/10.1038/s41597-022-01889-z |
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