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SOIL-WATERGRIDS, mapping dynamic changes in soil moisture and depth of water table from 1970 to 2014
We introduce here SOIL-WATERGRIDS, a new dataset of dynamic changes in soil moisture and depth of water table over 45 years from 1970 to 2014 globally resolved at 0.25 × 0.25 degree resolution (about 30 × 30 km at the equator) along a 56 m deep soil profile. SOIL-WATERGRIDS estimates were obtained u...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494894/ https://www.ncbi.nlm.nih.gov/pubmed/34615885 http://dx.doi.org/10.1038/s41597-021-01032-4 |
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author | Guglielmo, Magda Tang, Fiona H. M. Pasut, Chiara Maggi, Federico |
author_facet | Guglielmo, Magda Tang, Fiona H. M. Pasut, Chiara Maggi, Federico |
author_sort | Guglielmo, Magda |
collection | PubMed |
description | We introduce here SOIL-WATERGRIDS, a new dataset of dynamic changes in soil moisture and depth of water table over 45 years from 1970 to 2014 globally resolved at 0.25 × 0.25 degree resolution (about 30 × 30 km at the equator) along a 56 m deep soil profile. SOIL-WATERGRIDS estimates were obtained using the BRTSim model instructed with globally gridded soil physical and hydraulic properties, land cover and use characteristics, and hydrometeorological variables to account for precipitation, ecosystem-specific evapotranspiration, snowmelt, surface runoff, and irrigation. We validate our estimates against independent observations and re-analyses of the soil moisture, water table depth, wetland occurrence, and runoff. SOIL-WATERGRIDS brings into a single product the monthly mean water saturation at three depths in the root zone and the depth of the highest and lowest water tables throughout the reference period, their long-term monthly averages, and data quality. SOIL-WATERGRIDS can therefore be used to analyse trends in water availability for agricultural abstraction, assess the water balance under historical weather patterns, and identify water stress in sensitive managed and unmanaged ecosystems. |
format | Online Article Text |
id | pubmed-8494894 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-84948942021-10-07 SOIL-WATERGRIDS, mapping dynamic changes in soil moisture and depth of water table from 1970 to 2014 Guglielmo, Magda Tang, Fiona H. M. Pasut, Chiara Maggi, Federico Sci Data Data Descriptor We introduce here SOIL-WATERGRIDS, a new dataset of dynamic changes in soil moisture and depth of water table over 45 years from 1970 to 2014 globally resolved at 0.25 × 0.25 degree resolution (about 30 × 30 km at the equator) along a 56 m deep soil profile. SOIL-WATERGRIDS estimates were obtained using the BRTSim model instructed with globally gridded soil physical and hydraulic properties, land cover and use characteristics, and hydrometeorological variables to account for precipitation, ecosystem-specific evapotranspiration, snowmelt, surface runoff, and irrigation. We validate our estimates against independent observations and re-analyses of the soil moisture, water table depth, wetland occurrence, and runoff. SOIL-WATERGRIDS brings into a single product the monthly mean water saturation at three depths in the root zone and the depth of the highest and lowest water tables throughout the reference period, their long-term monthly averages, and data quality. SOIL-WATERGRIDS can therefore be used to analyse trends in water availability for agricultural abstraction, assess the water balance under historical weather patterns, and identify water stress in sensitive managed and unmanaged ecosystems. Nature Publishing Group UK 2021-10-06 /pmc/articles/PMC8494894/ /pubmed/34615885 http://dx.doi.org/10.1038/s41597-021-01032-4 Text en © The Author(s) 2021 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/) . The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Guglielmo, Magda Tang, Fiona H. M. Pasut, Chiara Maggi, Federico SOIL-WATERGRIDS, mapping dynamic changes in soil moisture and depth of water table from 1970 to 2014 |
title | SOIL-WATERGRIDS, mapping dynamic changes in soil moisture and depth of water table from 1970 to 2014 |
title_full | SOIL-WATERGRIDS, mapping dynamic changes in soil moisture and depth of water table from 1970 to 2014 |
title_fullStr | SOIL-WATERGRIDS, mapping dynamic changes in soil moisture and depth of water table from 1970 to 2014 |
title_full_unstemmed | SOIL-WATERGRIDS, mapping dynamic changes in soil moisture and depth of water table from 1970 to 2014 |
title_short | SOIL-WATERGRIDS, mapping dynamic changes in soil moisture and depth of water table from 1970 to 2014 |
title_sort | soil-watergrids, mapping dynamic changes in soil moisture and depth of water table from 1970 to 2014 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494894/ https://www.ncbi.nlm.nih.gov/pubmed/34615885 http://dx.doi.org/10.1038/s41597-021-01032-4 |
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