Articles | Volume 8, issue 3
Earth Syst. Dynam., 8, 529–545, 2017

Special issue: Multiple drivers for Earth system changes in the Baltic Sea...

Earth Syst. Dynam., 8, 529–545, 2017

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 et al.

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Cited articles

AS/NZ 1170.2: Australian/New Zealand Standard, Structural design actions, Part 2: Wind actions, 2nd Edn., Wellington, 96 pp., 2011.
Blennow, K., Andersson, M., Sallnäs, O., and Olofsson, E.: Climate change and the probability of wind damage in two Swedish forests, For. Ecol. Manag., 259, 818–830,, 2010.
Bärring, L., Berlin, M., and Gull B. A.: Tailored climate indicators for climate-proofing operational forestry applications in Sweden and Finland, Int. J. Climatol., 37, 123–142, 2017.
Brönnimann, S., Martius, O., von Waldow, H., Welker, C., Luterbacker, J., Compo, G. P., Sardeshmukh, P. D., and Usbeck, T.: Extreme winds at northern mid-latitudes since 1871, Meteorol. Z., 21, 13–27,, 2012.
Byrne, K. and Mitchell, S.: Testing of WindFIRM/ForestGALES-BC: a hybrid-mechanistic model for predicting windthrow in partially harvested stands, Forestry, 86, 185–199,, 2013.
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.
Final-revised paper