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A continental-scale soil evaporation dataset derived from Soil Moisture Active Passive satellite drying rates
This manuscript describes an observationally-based dataset of soil evaporation for the conterminous U.S. (CONUS), gridded to a 9 km resolution for the time-period of April 2015-March 2019. This product is termed E-SMAP (Evaporation-Soil Moisture Active Passive) in which soil evaporation is estimated...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7679398/ https://www.ncbi.nlm.nih.gov/pubmed/33219205 http://dx.doi.org/10.1038/s41597-020-00748-z |
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author | Abolafia-Rosenzweig, Ronnie Badger, Andrew M. Small, Eric E. Livneh, Ben |
author_facet | Abolafia-Rosenzweig, Ronnie Badger, Andrew M. Small, Eric E. Livneh, Ben |
author_sort | Abolafia-Rosenzweig, Ronnie |
collection | PubMed |
description | This manuscript describes an observationally-based dataset of soil evaporation for the conterminous U.S. (CONUS), gridded to a 9 km resolution for the time-period of April 2015-March 2019. This product is termed E-SMAP (Evaporation-Soil Moisture Active Passive) in which soil evaporation is estimated from the surface layer, defined by the SMAP sensing depth of 50 mm, between SMAP overpass intervals that are screened on the basis of precipitation and SMAP quality control flags. Soil evaporation is estimated using a water balance of the surface soil that we show is largely dominated by SMAP-observed soil drying. E-SMAP soil evaporation is on average 0.72 mm day(−1), which falls within the range of soil evaporation estimates (0.17–0.89 mm day(−1)) derived from operational land surface models and an alternative remote sensing product. E-SMAP is independent from existing soil evaporation estimates and therefore has the potential to improve understanding of evapotranspiration partitioning and model development. |
format | Online Article Text |
id | pubmed-7679398 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-76793982020-11-24 A continental-scale soil evaporation dataset derived from Soil Moisture Active Passive satellite drying rates Abolafia-Rosenzweig, Ronnie Badger, Andrew M. Small, Eric E. Livneh, Ben Sci Data Data Descriptor This manuscript describes an observationally-based dataset of soil evaporation for the conterminous U.S. (CONUS), gridded to a 9 km resolution for the time-period of April 2015-March 2019. This product is termed E-SMAP (Evaporation-Soil Moisture Active Passive) in which soil evaporation is estimated from the surface layer, defined by the SMAP sensing depth of 50 mm, between SMAP overpass intervals that are screened on the basis of precipitation and SMAP quality control flags. Soil evaporation is estimated using a water balance of the surface soil that we show is largely dominated by SMAP-observed soil drying. E-SMAP soil evaporation is on average 0.72 mm day(−1), which falls within the range of soil evaporation estimates (0.17–0.89 mm day(−1)) derived from operational land surface models and an alternative remote sensing product. E-SMAP is independent from existing soil evaporation estimates and therefore has the potential to improve understanding of evapotranspiration partitioning and model development. Nature Publishing Group UK 2020-11-20 /pmc/articles/PMC7679398/ /pubmed/33219205 http://dx.doi.org/10.1038/s41597-020-00748-z Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Abolafia-Rosenzweig, Ronnie Badger, Andrew M. Small, Eric E. Livneh, Ben A continental-scale soil evaporation dataset derived from Soil Moisture Active Passive satellite drying rates |
title | A continental-scale soil evaporation dataset derived from Soil Moisture Active Passive satellite drying rates |
title_full | A continental-scale soil evaporation dataset derived from Soil Moisture Active Passive satellite drying rates |
title_fullStr | A continental-scale soil evaporation dataset derived from Soil Moisture Active Passive satellite drying rates |
title_full_unstemmed | A continental-scale soil evaporation dataset derived from Soil Moisture Active Passive satellite drying rates |
title_short | A continental-scale soil evaporation dataset derived from Soil Moisture Active Passive satellite drying rates |
title_sort | continental-scale soil evaporation dataset derived from soil moisture active passive satellite drying rates |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7679398/ https://www.ncbi.nlm.nih.gov/pubmed/33219205 http://dx.doi.org/10.1038/s41597-020-00748-z |
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