Articles | Volume 25, issue 5
https://doi.org/10.5194/hess-25-2861-2021
https://doi.org/10.5194/hess-25-2861-2021
Technical note
 | 
27 May 2021
Technical note |  | 27 May 2021

Technical note: Accounting for snow in the estimation of root zone water storage capacity from precipitation and evapotranspiration fluxes

David N. Dralle, W. Jesse Hahm, K. Dana Chadwick, Erica McCormick, and Daniella M. Rempe

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (11 Feb 2021) by Markus Hrachowitz
AR by David Dralle on behalf of the Authors (24 Feb 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (01 Mar 2021) by Markus Hrachowitz
RR by Anonymous Referee #1 (18 Mar 2021)
ED: Publish subject to minor revisions (review by editor) (16 Apr 2021) by Markus Hrachowitz
AR by David Dralle on behalf of the Authors (26 Apr 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (30 Apr 2021) by Markus Hrachowitz
AR by David Dralle on behalf of the Authors (05 May 2021)  Author's response   Manuscript 
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Short summary
Root zone water storage capacity determines how much water can be stored belowground to support plants during periods without precipitation. Here, we develop a satellite remote sensing method to estimate this key variable at large scales that matter for management. Importantly, our method builds on previous approaches by accounting for snowpack, which may bias estimates from existing approaches. Ultimately, our method will improve large-scale understanding of plant access to subsurface water.