Near-real-time adjusted reanalysis forcing data for hydrology

Berg, Peter; Donnelly, Chantal; Gustafsson, David

doi:https://doi.org/10.5194/hess-22-989-2018

Articles | Volume 22, issue 2

https://doi.org/10.5194/hess-22-989-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-22-989-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 2

Research article

|

07 Feb 2018

Research article |

| 07 Feb 2018

Near-real-time adjusted reanalysis forcing data for hydrology

Peter Berg, Chantal Donnelly, and David Gustafsson

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Final revised paper (published on 07 Feb 2018)
Preprint (discussion started on 17 Aug 2017)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Referee Comment', Graham Weedon, 04 Sep 2017
- AC1: 'Author response to comment to RC1', Peter Berg, 10 Nov 2017
RC2: 'Review of the manuscript "Near real-time adjusted reanalysis forcing data for hydrology" by Berg et al.', Anonymous Referee #2, 08 Sep 2017
- AC2: 'Author response to comment to RC2', Peter Berg, 10 Nov 2017

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish subject to revisions (further review by editor and referees) (13 Nov 2017) by Nadia Ursino

AR by Peter Berg on behalf of the Authors (20 Dec 2017) Author's response Manuscript

ED: Publish as is (22 Dec 2017) by Nadia Ursino

AR by Peter Berg on behalf of the Authors (29 Dec 2017)

Short summary

A new product (Global Forcing Data, GFD) that provides bias-adjusted meteorological forcing data for impact models, such as hydrological models, is presented. The main novelty with the product is the near-real time updating of the data which allows more up-to-date impact modeling. This is performed by combining climatological data sets with climate monitoring data sets. The potential in using the data to initialize hydrological forecasts is further investigated.