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SMAP-HydroBlocks, a 30-m satellite-based soil moisture dataset for the conterminous US
Soil moisture plays a key role in controlling land-atmosphere interactions, with implications for water resources, agriculture, climate, and ecosystem dynamics. Although soil moisture varies strongly across the landscape, current monitoring capabilities are limited to coarse-scale satellite retrieva...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8505542/ https://www.ncbi.nlm.nih.gov/pubmed/34635675 http://dx.doi.org/10.1038/s41597-021-01050-2 |
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author | Vergopolan, Noemi Chaney, Nathaniel W. Pan, Ming Sheffield, Justin Beck, Hylke E. Ferguson, Craig R. Torres-Rojas, Laura Sadri, Sara Wood, Eric F. |
author_facet | Vergopolan, Noemi Chaney, Nathaniel W. Pan, Ming Sheffield, Justin Beck, Hylke E. Ferguson, Craig R. Torres-Rojas, Laura Sadri, Sara Wood, Eric F. |
author_sort | Vergopolan, Noemi |
collection | PubMed |
description | Soil moisture plays a key role in controlling land-atmosphere interactions, with implications for water resources, agriculture, climate, and ecosystem dynamics. Although soil moisture varies strongly across the landscape, current monitoring capabilities are limited to coarse-scale satellite retrievals and a few regional in-situ networks. Here, we introduce SMAP-HydroBlocks (SMAP-HB), a high-resolution satellite-based surface soil moisture dataset at an unprecedented 30-m resolution (2015–2019) across the conterminous United States. SMAP-HB was produced by using a scalable cluster-based merging scheme that combines high-resolution land surface modeling, radiative transfer modeling, machine learning, SMAP satellite microwave data, and in-situ observations. We evaluated the resulting dataset over 1,192 observational sites. SMAP-HB performed substantially better than the current state-of-the-art SMAP products, showing a median temporal correlation of 0.73 ± 0.13 and a median Kling-Gupta Efficiency of 0.52 ± 0.20. The largest benefit of SMAP-HB is, however, the high spatial detail and improved representation of the soil moisture spatial variability and spatial accuracy with respect to SMAP products. The SMAP-HB dataset is available via zenodo and at https://waterai.earth/smaphb. |
format | Online Article Text |
id | pubmed-8505542 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-85055422021-10-27 SMAP-HydroBlocks, a 30-m satellite-based soil moisture dataset for the conterminous US Vergopolan, Noemi Chaney, Nathaniel W. Pan, Ming Sheffield, Justin Beck, Hylke E. Ferguson, Craig R. Torres-Rojas, Laura Sadri, Sara Wood, Eric F. Sci Data Data Descriptor Soil moisture plays a key role in controlling land-atmosphere interactions, with implications for water resources, agriculture, climate, and ecosystem dynamics. Although soil moisture varies strongly across the landscape, current monitoring capabilities are limited to coarse-scale satellite retrievals and a few regional in-situ networks. Here, we introduce SMAP-HydroBlocks (SMAP-HB), a high-resolution satellite-based surface soil moisture dataset at an unprecedented 30-m resolution (2015–2019) across the conterminous United States. SMAP-HB was produced by using a scalable cluster-based merging scheme that combines high-resolution land surface modeling, radiative transfer modeling, machine learning, SMAP satellite microwave data, and in-situ observations. We evaluated the resulting dataset over 1,192 observational sites. SMAP-HB performed substantially better than the current state-of-the-art SMAP products, showing a median temporal correlation of 0.73 ± 0.13 and a median Kling-Gupta Efficiency of 0.52 ± 0.20. The largest benefit of SMAP-HB is, however, the high spatial detail and improved representation of the soil moisture spatial variability and spatial accuracy with respect to SMAP products. The SMAP-HB dataset is available via zenodo and at https://waterai.earth/smaphb. Nature Publishing Group UK 2021-10-11 /pmc/articles/PMC8505542/ /pubmed/34635675 http://dx.doi.org/10.1038/s41597-021-01050-2 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 Vergopolan, Noemi Chaney, Nathaniel W. Pan, Ming Sheffield, Justin Beck, Hylke E. Ferguson, Craig R. Torres-Rojas, Laura Sadri, Sara Wood, Eric F. SMAP-HydroBlocks, a 30-m satellite-based soil moisture dataset for the conterminous US |
title | SMAP-HydroBlocks, a 30-m satellite-based soil moisture dataset for the conterminous US |
title_full | SMAP-HydroBlocks, a 30-m satellite-based soil moisture dataset for the conterminous US |
title_fullStr | SMAP-HydroBlocks, a 30-m satellite-based soil moisture dataset for the conterminous US |
title_full_unstemmed | SMAP-HydroBlocks, a 30-m satellite-based soil moisture dataset for the conterminous US |
title_short | SMAP-HydroBlocks, a 30-m satellite-based soil moisture dataset for the conterminous US |
title_sort | smap-hydroblocks, a 30-m satellite-based soil moisture dataset for the conterminous us |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8505542/ https://www.ncbi.nlm.nih.gov/pubmed/34635675 http://dx.doi.org/10.1038/s41597-021-01050-2 |
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