Estimation of the high-spatial-resolution variability in extreme wind speeds for forestry applications

Venäläinen, Ari; Laapas, Mikko; Pirinen, Pentti; Horttanainen, Matti; Hyvönen, Reijo; Lehtonen, Ilari; Junila, Päivi; Hou, Meiting; Peltola, Heli M.

doi:https://doi.org/10.5194/esd-8-529-2017

Articles | Volume 8, issue 3

https://doi.org/10.5194/esd-8-529-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

Multiple drivers for Earth system changes in the Baltic Sea...

https://doi.org/10.5194/esd-8-529-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 8, issue 3

Research article

|

05 Jul 2017

Research article |

| 05 Jul 2017

Estimation of the high-spatial-resolution variability in extreme wind speeds for forestry applications

Ari Venäläinen, Mikko Laapas, Pentti Pirinen, Matti Horttanainen, Reijo Hyvönen, Ilari Lehtonen, Päivi Junila, Meiting Hou, and Heli M. Peltola

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Final revised paper (published on 05 Jul 2017)
Preprint (discussion started on 31 Jan 2017)

Interactive discussion

Status: closed

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

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RC1: 'esd-2017-10', Anonymous Referee #1, 09 Feb 2017
- AC1: 'Reply to Reviewer 1 comments', Ari Venäläinen, 04 May 2017
RC2: 'Review of the manuscript Estimation of the high-resolution variability of extreme wind speeds for a better management of wind damage risks to forest-based bioeconomy by Ari K. Venäläinen et al. submitted for publication in Earth System Dynamics', Anonymous Referee #2, 21 Apr 2017
- AC2: 'Reply to reviewer 2', Ari Venäläinen, 04 May 2017

Peer-review completion

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

ED: Publish subject to minor revisions (review by Editor) (10 May 2017) by Marcus Reckermann

AR by Ari Venäläinen on behalf of the Authors (19 May 2017) Author's response Manuscript

ED: Publish as is (08 Jun 2017) by Marcus Reckermann

AR by Ari Venäläinen on behalf of the Authors (09 Jun 2017)

Short summary

The rapidly growing forest-based bioeconomy calls for increasing wood harvesting intensity, and an increase in thinning and a final felling area. This may increase wind damage risks at the upwind edges of new cleared felling areas and thinned stands. Efficient wind risk assessment is needed. We demonstrate a pragmatic and computationally feasible method for identifying at a high spatial resolution those locations having the highest forest wind damage risks.