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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...

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Autores principales: Koster, Randal D., Liu, Qing, Crow, Wade T., Reichle, Rolf H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
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.
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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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