Multi-variable bias correction: application of forest fire risk in present and future climate in Sweden

Yang, W.; Gardelin, M.; Olsson, J.; Bosshard, T.

doi:https://doi.org/10.5194/nhess-15-2037-2015

Articles | Volume 15, issue 9

https://doi.org/10.5194/nhess-15-2037-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/nhess-15-2037-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 15, issue 9

Research article

|

11 Sep 2015

Research article |

| 11 Sep 2015

Multi-variable bias correction: application of forest fire risk in present and future climate in Sweden

W. Yang, M. Gardelin, J. Olsson, and T. Bosshard

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Final revised paper (published on 11 Sep 2015)
Preprint (discussion started on 30 Jan 2015)

Interactive discussion

Status: closed

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

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RC C331: 'Referee Comment', Anonymous Referee #1, 30 Mar 2015
RC C473: 'Review of Yang et al.', Anonymous Referee #2, 22 Apr 2015
RC C522: 'Comments by invited reviewer', Anonymous Referee #3, 27 Apr 2015
RC C525: 'Review of the aryicle “Forest fire risk assessment in Sweden using climate model data: bias correction and future changes” submitted to “Nat. Hazards Earth Syst. Sci. Discuss.” By W. Yang, M. Gardelin, J. Olsson, and T. Bosshard.', Anonymous Referee #4, 27 Apr 2015
AC C930: 'NHESS-2014-307-coverletter', Wei Yang, 08 Jun 2015

Short summary

A distribution-based scaling approach was developed and proven useful as a post-process to correct systematic biases in climate modelling outputs (i.e. precipitation, temperature, relative humidity and wind speed) to facilitate the utilisation of climate projections in forest fire risk studies. The result showed reduction of bias in forcing data and an improved description of fire-risk-related indices. Concerning the future climate, southern Sweden is likely to become a more fire-prone region.