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

AR by Stefan Lange on behalf of the Authors (02 Jul 2019) Manuscript

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.