Articles | Volume 25, issue 4
https://doi.org/10.5194/hess-25-1827-2021
https://doi.org/10.5194/hess-25-1827-2021
Research article
 | 
09 Apr 2021
Research article |  | 09 Apr 2021

Field-scale soil moisture bridges the spatial-scale gap between drought monitoring and agricultural yields

Noemi Vergopolan, Sitian Xiong, Lyndon Estes, Niko Wanders, Nathaniel W. Chaney, Eric F. Wood, Megan Konar, Kelly Caylor, Hylke E. Beck, Nicolas Gatti, Tom Evans, and Justin Sheffield

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (28 Oct 2020) by Lixin Wang
AR by Noemi Vergopolan on behalf of the Authors (11 Dec 2020)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (15 Dec 2020) by Lixin Wang
RR by Karthikeyan Lanka (16 Dec 2020)
RR by Hannah Kerner (11 Feb 2021)
ED: Publish as is (17 Feb 2021) by Lixin Wang
AR by Noemi Vergopolan on behalf of the Authors (17 Feb 2021)
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Short summary
Drought monitoring and yield prediction often rely on coarse-scale hydroclimate data or (infrequent) vegetation indexes that do not always indicate the conditions farmers face in the field. Consequently, decision-making based on these indices can often be disconnected from the farmer reality. Our study focuses on smallholder farming systems in data-sparse developing countries, and it shows how field-scale soil moisture can leverage and improve crop yield prediction and drought impact assessment.