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Can Surface Soil Moisture Information Identify Evapotranspiration Regime Transitions?
The transition of evapotranspiration between energy‐ and water‐limitation regimes also denotes a nonlinear change in surface water and energy coupling strength. The regime transitions are primarily dominated by available moisture in the soil, although other micro‐meteorological factors also play a r...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9286566/ https://www.ncbi.nlm.nih.gov/pubmed/35865657 http://dx.doi.org/10.1029/2021GL097697 |
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author | Dong, Jianzhi Akbar, Ruzbeh Short Gianotti, Daniel J. Feldman, Andrew F. Crow, Wade T. Entekhabi, Dara |
author_facet | Dong, Jianzhi Akbar, Ruzbeh Short Gianotti, Daniel J. Feldman, Andrew F. Crow, Wade T. Entekhabi, Dara |
author_sort | Dong, Jianzhi |
collection | PubMed |
description | The transition of evapotranspiration between energy‐ and water‐limitation regimes also denotes a nonlinear change in surface water and energy coupling strength. The regime transitions are primarily dominated by available moisture in the soil, although other micro‐meteorological factors also play a role. Remotely sensed soil moisture is frequently used for detecting evapotranspiration regime transitions during inter storm dry downs. However, its sampling depth does not include the entire soil profile, over which water uptake is dominated by plant root distribution. We use flux tower, surface (θ ( s ); observations at 5 cm), and vertically integrated in situ soil moisture ([Formula: see text]; 0–50 cm) observations to address the question: Can surface soil moisture robustly identify evapotranspiration regime transitions? Results demonstrate that θ ( s ) and θ ( v ) are hydraulically linked and have synchronized evapotranspiration regime transitions. As such, θ ( s ) and θ ( v ) capture comparable statistics of evapotranspiration regime prevalence, which supports the utility of remote‐sensing θ ( s ) for large‐scale land‐atmosphere exchange analysis. |
format | Online Article Text |
id | pubmed-9286566 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92865662022-07-19 Can Surface Soil Moisture Information Identify Evapotranspiration Regime Transitions? Dong, Jianzhi Akbar, Ruzbeh Short Gianotti, Daniel J. Feldman, Andrew F. Crow, Wade T. Entekhabi, Dara Geophys Res Lett Research Letter The transition of evapotranspiration between energy‐ and water‐limitation regimes also denotes a nonlinear change in surface water and energy coupling strength. The regime transitions are primarily dominated by available moisture in the soil, although other micro‐meteorological factors also play a role. Remotely sensed soil moisture is frequently used for detecting evapotranspiration regime transitions during inter storm dry downs. However, its sampling depth does not include the entire soil profile, over which water uptake is dominated by plant root distribution. We use flux tower, surface (θ ( s ); observations at 5 cm), and vertically integrated in situ soil moisture ([Formula: see text]; 0–50 cm) observations to address the question: Can surface soil moisture robustly identify evapotranspiration regime transitions? Results demonstrate that θ ( s ) and θ ( v ) are hydraulically linked and have synchronized evapotranspiration regime transitions. As such, θ ( s ) and θ ( v ) capture comparable statistics of evapotranspiration regime prevalence, which supports the utility of remote‐sensing θ ( s ) for large‐scale land‐atmosphere exchange analysis. John Wiley and Sons Inc. 2022-04-05 2022-04-16 /pmc/articles/PMC9286566/ /pubmed/35865657 http://dx.doi.org/10.1029/2021GL097697 Text en © 2022. The Authors. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Letter Dong, Jianzhi Akbar, Ruzbeh Short Gianotti, Daniel J. Feldman, Andrew F. Crow, Wade T. Entekhabi, Dara Can Surface Soil Moisture Information Identify Evapotranspiration Regime Transitions? |
title | Can Surface Soil Moisture Information Identify Evapotranspiration Regime Transitions? |
title_full | Can Surface Soil Moisture Information Identify Evapotranspiration Regime Transitions? |
title_fullStr | Can Surface Soil Moisture Information Identify Evapotranspiration Regime Transitions? |
title_full_unstemmed | Can Surface Soil Moisture Information Identify Evapotranspiration Regime Transitions? |
title_short | Can Surface Soil Moisture Information Identify Evapotranspiration Regime Transitions? |
title_sort | can surface soil moisture information identify evapotranspiration regime transitions? |
topic | Research Letter |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9286566/ https://www.ncbi.nlm.nih.gov/pubmed/35865657 http://dx.doi.org/10.1029/2021GL097697 |
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