High-resolution meteorological forcing data for hydrological modelling and climate change  impact analysis in the Mackenzie River Basin

Asong, Zilefac Elvis; Elshamy, Mohamed Ezzat; Princz, Daniel; Wheater, Howard Simon; Pomeroy, John Willard; Pietroniro, Alain; Cannon, Alex

doi:https://doi.org/10.5194/essd-12-629-2020

Articles | Volume 12, issue 1

https://doi.org/10.5194/essd-12-629-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Water, ecosystem, cryosphere, and climate data from the interior...

https://doi.org/10.5194/essd-12-629-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 1

Data description paper

|

19 Mar 2020

Data description paper |

| 19 Mar 2020

High-resolution meteorological forcing data for hydrological modelling and climate change impact analysis in the Mackenzie River Basin

Zilefac Elvis Asong, Mohamed Ezzat Elshamy, Daniel Princz, Howard Simon Wheater, John Willard Pomeroy, Alain Pietroniro, and Alex Cannon

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Final revised paper (published on 19 Mar 2020)
Supplement to the final revised paper
Preprint (discussion started on 31 Jul 2019)
Supplement to the preprint

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

RC1: 'Referee Comments', Anonymous Referee #1, 16 Aug 2019
- AC1: 'author response to comments', Zilefac Elvis ASONG, 20 Jan 2020
RC2: 'Review', Anonymous Referee #2, 24 Aug 2019
- AC2: 'author response to comments', Zilefac Elvis ASONG, 20 Jan 2020

Peer-review completion

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

AR by Zilefac Elvis ASONG on behalf of the Authors (20 Jan 2020) Author's response Manuscript

ED: Publish as is (03 Feb 2020) by Prasad Gogineni

AR by Zilefac Elvis ASONG on behalf of the Authors (09 Feb 2020) Manuscript

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Short summary

This dataset provides an improved set of forcing data for large-scale hydrological models for climate change impact assessment in the Mackenzie River Basin (MRB). Here, the strengths of two historical datasets were blended to produce a less-biased long-record product for hydrological modelling and climate change impact assessment over the MRB. This product is then used to bias-correct climate projections from the Canadian Regional Climate Model under RCP8.5.