Articles | Volume 26, issue 4
Hydrol. Earth Syst. Sci., 26, 975–999, 2022
https://doi.org/10.5194/hess-26-975-2022
Hydrol. Earth Syst. Sci., 26, 975–999, 2022
https://doi.org/10.5194/hess-26-975-2022

Research article 21 Feb 2022

Research article | 21 Feb 2022

Remote sensing-aided rainfall–runoff modeling in the tropics of Costa Rica

Saúl Arciniega-Esparza 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-2021-428', Anonymous Referee #1, 15 Sep 2021
    • AC1: 'Reply on RC1', Saul Arciniega, 25 Oct 2021
  • RC2: 'Comment on hess-2021-428', Anonymous Referee #2, 18 Sep 2021
    • AC2: 'Reply on RC2', Saul Arciniega, 26 Oct 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) (08 Nov 2021) by Yi He
AR by Saul Arciniega on behalf of the Authors (15 Dec 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (18 Jan 2022) by Yi He
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Short summary
In the humid tropics, a notoriously data-scarce region, we need to find alternatives in order to reasonably apply hydrological models. Here, we tested remotely sensed rainfall data in order to drive a model for Costa Rica, and we evaluated the simulations against evapotranspiration satellite products. We found that our model was able to reasonably simulate the water balance and streamflow dynamics of over 600 catchments where the satellite data helped to reduce the model uncertainties.