A drought event composite analysis using satellite remote-sensing based soil moisture

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Date
2017-12-15Type
- Journal Article
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Cited 82 times in
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Cited 97 times in
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Abstract
Drought is a globally relevant hazard, and while various studies have investigated the relationship between droughts and different climate and ecosystem variables, they are often not global or they do not make use of direct soil moisture observations. Here we use satellite derived soil moisture observations from the Climate Change Initiative of the European Space Agency to quantify the relation between soil moisture drought and temperature, precipitation, evapotranspiration and vegetation during the peak of the growing season. Furthermore, we follow the temporal evolution of the buildup and recovery surrounding the drought peak. We find that in many regions longer-term precipitation deficits are the driving factors of large negative soil moisture anomalies. At the peak of the dry period large anomalies are found for precipitation, evapotranspiration, and temperature, while vegetation indices often show a delayed response. This delay is likely related to the limited information contained in the remotely sensed soil moisture signal on the deeper root zone, thus underestimating the available soil moisture for plants. Anomalies over grasslands are generally larger than over forests, likely linked to the ability of trees to better access water at deeper depths, and to save water during dry conditions. These results illustrate the relevance of remote-sensing based soil moisture as a new independent observation for studying land-vegetation-atmosphere dynamics at the global scale. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000167365Publication status
publishedExternal links
Journal / series
Remote Sensing of EnvironmentVolume
Pages / Article No.
Publisher
Elsevier BVSubject
Drought event composites; Satellite derived soil moisture; ESA Climate Change Initiative (CCI); Land coverOrganisational unit
03778 - Seneviratne, Sonia / Seneviratne, Sonia
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Citations
Cited 82 times in
Web of Science
Cited 97 times in
Scopus
ETH Bibliography
yes
Altmetrics