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Late-fall satellite-based soil moisture observations show clear connections to subsequent spring streamflow
Because runoff production is more efficient over wetter soils, and because soil moisture has an intrinsic memory, soil moisture information can potentially contribute to the accuracy of streamflow predictions at seasonal leads. In this work, we use surface (0–5 cm) soil moisture retrievals obtained...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10272137/ https://www.ncbi.nlm.nih.gov/pubmed/37322084 http://dx.doi.org/10.1038/s41467-023-39318-3 |
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author | Koster, Randal D. Liu, Qing Crow, Wade T. Reichle, Rolf H. |
author_facet | Koster, Randal D. Liu, Qing Crow, Wade T. Reichle, Rolf H. |
author_sort | Koster, Randal D. |
collection | PubMed |
description | Because runoff production is more efficient over wetter soils, and because soil moisture has an intrinsic memory, soil moisture information can potentially contribute to the accuracy of streamflow predictions at seasonal leads. In this work, we use surface (0–5 cm) soil moisture retrievals obtained with the National Aeronautics and Space Administration’s Soil Moisture Active Passive satellite instrument in conjunction with streamflow measurements taken within 236 intermediate-scale (2000–10,000 km(2)) unregulated river basins in the conterminous United States to show that late-fall satellite-based surface soil moisture estimates are indeed strongly connected to subsequent springtime streamflow. We thus show that the satellite-based soil moisture retrievals, all by themselves, have the potential to produce skillful seasonal streamflow predictions several months in advance. In poorly instrumented regions, they could perform better than reanalysis soil moisture products in this regard. |
format | Online Article Text |
id | pubmed-10272137 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-102721372023-06-17 Late-fall satellite-based soil moisture observations show clear connections to subsequent spring streamflow Koster, Randal D. Liu, Qing Crow, Wade T. Reichle, Rolf H. Nat Commun Article Because runoff production is more efficient over wetter soils, and because soil moisture has an intrinsic memory, soil moisture information can potentially contribute to the accuracy of streamflow predictions at seasonal leads. In this work, we use surface (0–5 cm) soil moisture retrievals obtained with the National Aeronautics and Space Administration’s Soil Moisture Active Passive satellite instrument in conjunction with streamflow measurements taken within 236 intermediate-scale (2000–10,000 km(2)) unregulated river basins in the conterminous United States to show that late-fall satellite-based surface soil moisture estimates are indeed strongly connected to subsequent springtime streamflow. We thus show that the satellite-based soil moisture retrievals, all by themselves, have the potential to produce skillful seasonal streamflow predictions several months in advance. In poorly instrumented regions, they could perform better than reanalysis soil moisture products in this regard. Nature Publishing Group UK 2023-06-15 /pmc/articles/PMC10272137/ /pubmed/37322084 http://dx.doi.org/10.1038/s41467-023-39318-3 Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2023 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 | Article Koster, Randal D. Liu, Qing Crow, Wade T. Reichle, Rolf H. Late-fall satellite-based soil moisture observations show clear connections to subsequent spring streamflow |
title | Late-fall satellite-based soil moisture observations show clear connections to subsequent spring streamflow |
title_full | Late-fall satellite-based soil moisture observations show clear connections to subsequent spring streamflow |
title_fullStr | Late-fall satellite-based soil moisture observations show clear connections to subsequent spring streamflow |
title_full_unstemmed | Late-fall satellite-based soil moisture observations show clear connections to subsequent spring streamflow |
title_short | Late-fall satellite-based soil moisture observations show clear connections to subsequent spring streamflow |
title_sort | late-fall satellite-based soil moisture observations show clear connections to subsequent spring streamflow |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10272137/ https://www.ncbi.nlm.nih.gov/pubmed/37322084 http://dx.doi.org/10.1038/s41467-023-39318-3 |
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