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Gridded maps of wetlands dynamics over mid-low latitudes for 1980–2020 based on TOPMODEL
Dynamics of global wetlands are closely linked to biodiversity conservation, hydrology, and greenhouse gas emissions. However, long-term time series of global wetland products are still lacking. Using a diagnostic model based on the TOPography-based hydrological MODEL (TOPMODEL), this study produced...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206665/ http://dx.doi.org/10.1038/s41597-022-01460-w |
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author | Xi, Yi Peng, Shushi Ducharne, Agnès Ciais, Philippe Gumbricht, Thomas Jimenez, Carlos Poulter, Benjamin Prigent, Catherine Qiu, Chunjing Saunois, Marielle Zhang, Zhen |
author_facet | Xi, Yi Peng, Shushi Ducharne, Agnès Ciais, Philippe Gumbricht, Thomas Jimenez, Carlos Poulter, Benjamin Prigent, Catherine Qiu, Chunjing Saunois, Marielle Zhang, Zhen |
author_sort | Xi, Yi |
collection | PubMed |
description | Dynamics of global wetlands are closely linked to biodiversity conservation, hydrology, and greenhouse gas emissions. However, long-term time series of global wetland products are still lacking. Using a diagnostic model based on the TOPography-based hydrological MODEL (TOPMODEL), this study produced an ensemble of 28 gridded maps of monthly global/regional wetland extents (with more reliable estimates at mid-low latitudes) for 1980–2020 at 0.25° × 0.25° spatial resolution, calibrated with a combination of four observation-based wetland data and seven gridded soil moisture reanalysis datasets. The gridded dynamic maps of wetlands capture the spatial distributions, seasonal cycles, and interannual variabilities of observed wetland extent well, and also show a good agreement with independent satellite-based terrestrial water storage estimates over wetland areas. The long temporal coverage extending beyond the era of satellite datasets, the global coverage, and the opportunity to provide real-time updates from ongoing soil moisture data make these products helpful for various applications such as analyzing the wetland-related methane emission. |
format | Online Article Text |
id | pubmed-9206665 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-92066652022-06-20 Gridded maps of wetlands dynamics over mid-low latitudes for 1980–2020 based on TOPMODEL Xi, Yi Peng, Shushi Ducharne, Agnès Ciais, Philippe Gumbricht, Thomas Jimenez, Carlos Poulter, Benjamin Prigent, Catherine Qiu, Chunjing Saunois, Marielle Zhang, Zhen Sci Data Data Descriptor Dynamics of global wetlands are closely linked to biodiversity conservation, hydrology, and greenhouse gas emissions. However, long-term time series of global wetland products are still lacking. Using a diagnostic model based on the TOPography-based hydrological MODEL (TOPMODEL), this study produced an ensemble of 28 gridded maps of monthly global/regional wetland extents (with more reliable estimates at mid-low latitudes) for 1980–2020 at 0.25° × 0.25° spatial resolution, calibrated with a combination of four observation-based wetland data and seven gridded soil moisture reanalysis datasets. The gridded dynamic maps of wetlands capture the spatial distributions, seasonal cycles, and interannual variabilities of observed wetland extent well, and also show a good agreement with independent satellite-based terrestrial water storage estimates over wetland areas. The long temporal coverage extending beyond the era of satellite datasets, the global coverage, and the opportunity to provide real-time updates from ongoing soil moisture data make these products helpful for various applications such as analyzing the wetland-related methane emission. Nature Publishing Group UK 2022-06-18 /pmc/articles/PMC9206665/ http://dx.doi.org/10.1038/s41597-022-01460-w Text en © The Author(s) 2022, corrected publication 2022 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 Xi, Yi Peng, Shushi Ducharne, Agnès Ciais, Philippe Gumbricht, Thomas Jimenez, Carlos Poulter, Benjamin Prigent, Catherine Qiu, Chunjing Saunois, Marielle Zhang, Zhen Gridded maps of wetlands dynamics over mid-low latitudes for 1980–2020 based on TOPMODEL |
title | Gridded maps of wetlands dynamics over mid-low latitudes for 1980–2020 based on TOPMODEL |
title_full | Gridded maps of wetlands dynamics over mid-low latitudes for 1980–2020 based on TOPMODEL |
title_fullStr | Gridded maps of wetlands dynamics over mid-low latitudes for 1980–2020 based on TOPMODEL |
title_full_unstemmed | Gridded maps of wetlands dynamics over mid-low latitudes for 1980–2020 based on TOPMODEL |
title_short | Gridded maps of wetlands dynamics over mid-low latitudes for 1980–2020 based on TOPMODEL |
title_sort | gridded maps of wetlands dynamics over mid-low latitudes for 1980–2020 based on topmodel |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206665/ http://dx.doi.org/10.1038/s41597-022-01460-w |
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