2017
DOI: 10.5194/esd-8-529-2017
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Estimation of the high-spatial-resolution variability in extreme wind speeds for forestry applications

Abstract: Abstract. The bioeconomy has an increasing role to play in climate change mitigation and the sustainable development of national economies. In Finland, a forested country, over 50 % of the current bioeconomy relies on the sustainable management and utilization of forest resources. Wind storms are a major risk that forests are exposed to and high-spatial-resolution analysis of the most vulnerable locations can produce risk assessment of forest management planning. In this paper, we examine the feasibility of th… Show more

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Cited by 17 publications
(19 citation statements)
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References 51 publications
(71 reference statements)
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“…The reasoning for this is the lack of years with soil frost in the archipelago, leading to increased uncertainty in the calculation of wind speed return levels. Also, the insufficient performance of wind multiplier method for the small Baltic Sea islands found by [41] supports our decision.…”
Section: Structure and Restrictions Of Data Analysessupporting
confidence: 76%
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“…The reasoning for this is the lack of years with soil frost in the archipelago, leading to increased uncertainty in the calculation of wind speed return levels. Also, the insufficient performance of wind multiplier method for the small Baltic Sea islands found by [41] supports our decision.…”
Section: Structure and Restrictions Of Data Analysessupporting
confidence: 76%
“…The impact of local terrain features on maximum wind speed cannot fully be taken into account in the relatively coarse 0.75 • × 0.75 • grid of ERA-Interim, because for example, hills, lakes, and changes in land-use are not considered in detail. For this reason, in order to downscale the wind speed return level from the coarse grid to a high-resolution grid we used a wind multiplier approach tested recently by [41] for boreal forest conditions. In this study, only topographic and terrain (surface roughness) properties are taken into account when assessing local maximum wind speeds (and their return levels) separately for the eight cardinal and intercardinal wind directions.…”
Section: Downscaling Of the 10-year Return Levels Of Wind Speedmentioning
confidence: 99%
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