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表层土壤湿度信息能否识别蒸散 regime 转变?

Can Surface Soil Moisture Information Identify Evapotranspiration Regime Transitions?

作者信息

Dong Jianzhi, Akbar Ruzbeh, Short Gianotti Daniel J, Feldman Andrew F, Crow Wade T, Entekhabi Dara

机构信息

Department of Civil and Environmental Engineering Massachusetts Institute of Technology Cambridge MA USA.

Institute of Surface-Earth System Science Tianjin University Tianjin China.

出版信息

Geophys Res Lett. 2022 Apr 16;49(7):e2021GL097697. doi: 10.1029/2021GL097697. Epub 2022 Apr 5.

DOI:10.1029/2021GL097697
PMID:35865657
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9286566/
Abstract

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 ( ; observations at 5 cm), and vertically integrated in situ soil moisture ( ; 0-50 cm) observations to address the question: Can surface soil moisture robustly identify evapotranspiration regime transitions? Results demonstrate that and are hydraulically linked and have synchronized evapotranspiration regime transitions. As such, and capture comparable statistics of evapotranspiration regime prevalence, which supports the utility of remote-sensing for large-scale land-atmosphere exchange analysis.

摘要

蒸发散在能量限制和水分限制状态之间的转变也意味着地表水与能量耦合强度的非线性变化。尽管其他微气象因素也起作用,但状态转变主要受土壤中有效水分的主导。在暴雨间期土壤变干期间,遥感土壤湿度经常被用于检测蒸发散状态转变。然而,其采样深度并不包括整个土壤剖面,而整个土壤剖面的水分吸收主要由植物根系分布主导。我们使用通量塔、地表(5厘米处的观测值)以及垂直积分原位土壤湿度(0 - 50厘米)观测值来解决这个问题:表层土壤湿度能否可靠地识别蒸发散状态转变?结果表明,两者在水力上是相连的,并且具有同步的蒸发散状态转变。因此,两者捕捉到了蒸发散状态普遍程度的可比统计数据,这支持了遥感土壤湿度在大规模陆 - 气交换分析中的实用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc64/9286566/5d30b6eded3f/GRL-49-0-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc64/9286566/0a82b265d35c/GRL-49-0-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc64/9286566/69c73da7da79/GRL-49-0-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc64/9286566/470f35fc39ba/GRL-49-0-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc64/9286566/5d30b6eded3f/GRL-49-0-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc64/9286566/0a82b265d35c/GRL-49-0-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc64/9286566/69c73da7da79/GRL-49-0-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc64/9286566/470f35fc39ba/GRL-49-0-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc64/9286566/5d30b6eded3f/GRL-49-0-g001.jpg

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本文引用的文献

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Land transpiration-evaporation partitioning errors responsible for modeled summertime warm bias in the central United States.陆面蒸散-蒸发分离误差导致美国中部模拟夏季变暖偏差。
Nat Commun. 2022 Jan 17;13(1):336. doi: 10.1038/s41467-021-27938-6.
2
Soil moisture-atmosphere feedback dominates land carbon uptake variability.土壤湿度-大气反馈主导陆地碳吸收的变化。
Nature. 2021 Apr;592(7852):65-69. doi: 10.1038/s41586-021-03325-5. Epub 2021 Mar 31.
3
Anthropogenic shift towards higher risk of flash drought over China.人为因素导致中国发生闪旱的风险增加。
Nat Commun. 2019 Oct 11;10(1):4661. doi: 10.1038/s41467-019-12692-7.
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Large influence of soil moisture on long-term terrestrial carbon uptake.土壤湿度对长期陆地碳吸收的巨大影响。
Nature. 2019 Jan;565(7740):476-479. doi: 10.1038/s41586-018-0848-x. Epub 2019 Jan 23.
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Hydrologic regulation of plant rooting depth.水文对植物根系深度的调节。
Proc Natl Acad Sci U S A. 2017 Oct 3;114(40):10572-10577. doi: 10.1073/pnas.1712381114. Epub 2017 Sep 18.
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Hot days induced by precipitation deficits at the global scale.全球范围内由降水亏缺导致的炎热天气。
Proc Natl Acad Sci U S A. 2012 Jul 31;109(31):12398-403. doi: 10.1073/pnas.1204330109. Epub 2012 Jul 16.