Trend-preserving bias adjustment and statistical downscaling with ISIMIP3BASD (v1.0)

Lange, Stefan

doi:https://doi.org/10.5194/gmd-12-3055-2019

Articles | Volume 12, issue 7

https://doi.org/10.5194/gmd-12-3055-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-12-3055-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 7

Development and technical paper

|

17 Jul 2019

Development and technical paper |

| 17 Jul 2019

Trend-preserving bias adjustment and statistical downscaling with ISIMIP3BASD (v1.0)

Stefan Lange

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Final revised paper (published on 17 Jul 2019)
Preprint (discussion started on 07 Mar 2019)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Thourough exposition of an improved bias correction methodology', Anonymous Referee #1, 15 Apr 2019
RC2: 'Useful documentation of ISIMIP3 bias correction method', Stefan Hagemann, 16 Apr 2019
AC1: 'Author‘s response', Stefan Lange, 24 May 2019

Peer-review completion

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

AR by Stefan Lange on behalf of the Authors (13 Jun 2019) Author's response Manuscript

ED: Publish as is (24 Jun 2019) by Heiko Goelzer

Short summary

Compared to their predecessors, the new Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) methods for bias adjustment and statistical downscaling allow for a more robust adjustment of extreme values and spatial variability, preserve trends more accurately across quantiles, and facilitate a clearer separation of bias adjustment and statistical downscaling.