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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...

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Autores principales: Vergopolan, Noemi, Chaney, Nathaniel W., Pan, Ming, Sheffield, Justin, Beck, Hylke E., Ferguson, Craig R., Torres-Rojas, Laura, Sadri, Sara, Wood, Eric F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
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.
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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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