Articles | Volume 25, issue 8
Hydrol. Earth Syst. Sci., 25, 4357–4372, 2021
https://doi.org/10.5194/hess-25-4357-2021
Hydrol. Earth Syst. Sci., 25, 4357–4372, 2021
https://doi.org/10.5194/hess-25-4357-2021

Research article 10 Aug 2021

Research article | 10 Aug 2021

Daily soil temperature modeling improved by integrating observed snow cover and estimated soil moisture in the USA Great Plains

Haidong Zhao et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2021-164', Anonymous Referee #1, 11 May 2021
    • AC1: 'Reply on RC1', Xiaomao Lin, 01 Jun 2021
  • RC2: 'Comment on hess-2021-164', Anonymous Referee #2, 13 May 2021
    • AC2: 'Reply on RC2', Xiaomao Lin, 01 Jun 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (02 Jun 2021) by Lixin Wang
AR by Xiaomao Lin on behalf of the Authors (05 Jun 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (08 Jun 2021) by Lixin Wang
RR by Anonymous Referee #1 (30 Jun 2021)
RR by Anonymous Referee #2 (06 Jul 2021)
ED: Publish as is (07 Jul 2021) by Lixin Wang
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Short summary
This study was done to develop an improved soil temperature model for the USA Great Plains by using common weather station variables as inputs. After incorporating knowledge of estimated soil moisture and observed daily snow depth, the improved model showed a near 50 % gain in performance compared to the original model. We conclude that our improved model can better estimate soil temperature at the surface soil layer where most hydrological and biological processes occur.