Articles | Volume 25, issue 5
Hydrol. Earth Syst. Sci., 25, 2805–2820, 2021
https://doi.org/10.5194/hess-25-2805-2021
Hydrol. Earth Syst. Sci., 25, 2805–2820, 2021
https://doi.org/10.5194/hess-25-2805-2021

Technical note 26 May 2021

Technical note | 26 May 2021

Technical note: Evaluation and bias correction of an observation-based global runoff dataset using streamflow observations from small tropical catchments in the Philippines

Daniel E. Ibarra et al.

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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: Publish subject to revisions (further review by editor and referees) (17 Jul 2020) by Wouter Buytaert
AR by Daniel Ibarra on behalf of the Authors (27 Aug 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (18 Sep 2020) by Wouter Buytaert
RR by Anonymous Referee #2 (17 Nov 2020)
ED: Publish subject to revisions (further review by editor and referees) (18 Nov 2020) by Wouter Buytaert
AR by Daniel Ibarra on behalf of the Authors (30 Dec 2020)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (19 Jan 2021) by Wouter Buytaert
RR by Anonymous Referee #2 (04 Mar 2021)
ED: Publish subject to minor revisions (review by editor) (15 Mar 2021) by Wouter Buytaert
AR by Daniel Ibarra on behalf of the Authors (02 Apr 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to technical corrections (04 May 2021) by Wouter Buytaert
AR by Daniel Ibarra on behalf of the Authors (06 May 2021)  Author's response    Manuscript
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Short summary
We evaluate a recently published global product of monthly runoff using streamflow data from small tropical catchments in the Philippines. Using monthly runoff observations from catchments, we tested for correlation and prediction. We demonstrate the potential utility of this product in assessing trends in regional-scale runoff, as well as look at the correlation of phenomenon such as the El Niño–Southern Oscillation on streamflow in this wet but drought-prone archipelago.