A new region-aware bias-correction method for simulated precipitation in areas of complex orography

Gómez-Navarro, Juan José; Raible, Christoph C.; Bozhinova, Denica; Martius, Olivia; García Valero, Juan Andrés; Montávez, Juan Pedro

doi:https://doi.org/10.5194/gmd-11-2231-2018

Articles | Volume 11, issue 6

https://doi.org/10.5194/gmd-11-2231-2018

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

https://doi.org/10.5194/gmd-11-2231-2018

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

Articles | Volume 11, issue 6

Model evaluation paper

|

15 Jun 2018

Model evaluation paper |

| 15 Jun 2018

A new region-aware bias-correction method for simulated precipitation in areas of complex orography

Juan José Gómez-Navarro, Christoph C. Raible, Denica Bozhinova, Olivia Martius, Juan Andrés García Valero, and Juan Pedro Montávez

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Final revised paper (published on 15 Jun 2018)
Preprint (discussion started on 13 Feb 2018)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Comments to gmd-2017-329 “A new region-aware bias correction method for simulated precipitation in the Alpine region“ by Gómez-Navarro et al.', Anonymous Referee #1, 04 Apr 2018
- AC1: 'Point-by-point response to Reviewer #1', Juan José Gómez-Navarro, 15 May 2018
RC2: 'Review of manuscript', Anonymous Referee #2, 07 Apr 2018
- AC2: 'Point-by-point response to Reviewer #2', Juan José Gómez-Navarro, 15 May 2018

Peer-review completion

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

AR by Juan José Gómez-Navarro on behalf of the Authors (15 May 2018) Author's response Manuscript

ED: Publish subject to technical corrections (30 May 2018) by Augustin Colette

AR by Juan José Gómez-Navarro on behalf of the Authors (31 May 2018) Manuscript

Short summary

We carry out and compare two high-resolution simulations of the Alpine region in the period 1979–2005. We aim to improve the understanding of the local mechanisms leading to extreme events in this complex region. We compare both simulations to precipitation observations to assess the model performance, and attribute major biases to either model or boundary conditions. Further, we develop a new bias correction technique to remove systematic errors in simulated precipitation for impact studies.