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Evaluation of downscaled wind speeds and parameterised gusts for recent and historical windstorms in Switzerland

Authors :
Juan José Gómez-Navarro
Christoph Simon Welker
Olivia Martius
Silke Dierer
Peter Stucki
Christoph C. Raible
Stefan Brönnimann
Dr. Alfred Bretscher Fonds, Bern, Switzerland
Swiss Federal Office for the Environment, Bern, Switzerland
MeteoSwiss, Zürich, Switzerland
meteotest, Bern, Switzerland
Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
Source :
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 68, Iss 0, Pp 1-18 (2016), Stucki, Peter; Dierer, Silke; Welker, Christoph Simon; Gómez-Navarro, Juan José; Raible, Christoph; Martius, Olivia; Brönnimann, Stefan (2016). Evaluation of downscaled wind speeds and parameterised gusts for recent and historical windstorms in Switzerland. Tellus. Series A-dynamic meteorology and oceanography, 68(1), p. 31820. Blackwell Munksgaard 10.3402/tellusa.v68.31820 , Tellus A; Vol 68 (2016)
Publication Year :
2016
Publisher :
Taylor & Francis Group, 2016.

Abstract

Assessments of local-scale windstorm hazard require highly resolved spatial information on wind speeds and gusts. In this study, maximum (peak) sustained wind speeds on a 3-km horizontal grid over Switzerland are obtained by dynamical downscaling from the Twentieth Century Reanalysis (20CR) employing the Weather Research and Forecasting (WRF) model. Subsequently, simulated peak gusts are derived using four wind gust parameterizations (WGPs). Evaluations against observations at 63 locations in complex terrain include four high-impact windstorms (occurring in 1919, 1935, 1990, and 1999) and 14 recent windstorms (occurring between 1993 and 2011). Peak sustained wind speeds and directions are generally well simulated, although wind speeds are mostly overestimated. In general, performance and skill measures are best for locations on the Swiss Plateau and inferior for Alpine mountain and valley locations. An independent ERA-Interim WRF downscaling configuration produces overall comparable results, implying that the 20CR ensemble mean is a reliable data set in dynamical downscaling exercises. The four evaluated WGPs largely reproduce the observed gustiness, although the timing and magnitude of the peak gusts are not regularly captured. None of the WGPs stands out as single best for the complex topography of Switzerland. Differences among the WGPs are small compared to the biases inherited from the sustained-wind part in the WGP formulations. All WGPs transform overestimated peak sustained winds into underestimated peak gusts, which points to an underrepresentation of the turbulent part in the WGP formulations. The range of simulated peak gusts from downscaling all 20CR ensemble members does not reliably include the observed peak gust, indicating limited benefit in applying an ensemble approach. Despite the limitations, we infer that with spatial optimisations of the simulation (e.g. by bias correction or adaptation of the WGP schemes), downscaling of 20CR input is an efficient option for high-resolution assessments of windstorm hazard and risk in Switzerland. Keywords: dynamical downscaling, 20CR, ERA-Interim, wind speed, wind gust estimation, extreme event, hazard map, Alps, gust factor, risk, WRF wind evaluation (Published: 19 August 2016) Citation: Tellus A 2016, 68, 31820, http://dx.doi.org/10.3402/tellusa.v68.31820

Details

Language :
English
ISSN :
16000870 and 02806495
Volume :
68
Database :
OpenAIRE
Journal :
Tellus: Series A, Dynamic Meteorology and Oceanography
Accession number :
edsair.doi.dedup.....5e04e8f1bae68aa890530a68c242708a
Full Text :
https://doi.org/10.3402/tellusa.v68.31820