Can dynamically downscaled windstorm footprints be improved by observations through a probabilistic approach?

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Haas, Rabea ; Pinto, Joaquim G. ; Born, Kai (2014)

Windstorms are a main feature of the European climate and exert strong socioeconomic impacts. Large effort has been made in developing and enhancing models to simulate the intensification of windstorms, resulting footprints, and associated impacts. Simulated wind or gust speeds usually differ from observations, as regional climate models have biases and cannot capture all local effects. An approach to adjust regional climate model (RCM) simulations of wind and wind gust toward observations is introduced. For this purpose, 100 windstorms are selected and observations of 173 (111) test sites of the German Weather Service are considered for wind (gust) speed. Theoretical Weibull distributions are fitted to observed and simulated wind and gust speeds, and the distribution parameters of the observations are interpolated onto the RCM computational grid. A probability mapping approach is applied to relate the distributions and to correct the modeled footprints. The results are not only achieved for single test sites but for an area-wide regular grid. The approach is validated using root-mean-square errors on event and site basis, documenting that the method is generally able to adjust the RCM output toward observations. For gust speeds, an improvement on 88 of 100 events and at about 64% of the test sites is reached. For wind, 99 of 100 improved events and ~84% improved sites can be obtained. This gives confidence on the potential of the introduced approach for many applications, in particular those considering wind data.
  • References (42)
    42 references, page 1 of 5

    Ágústsson, H., and H. Ólafsson (2009), Forecasting wind gusts in complex terrain, Meteorol. Atmos. Phys., 103, 173-185.

    Born, K., P. Ludwig, and J. G. Pinto (2012), Wind gust estimation for Mid-European winter storms: Towards a probabilistic view, Tellus A, 64, 17,471, doi:10.3402/tellusa.v64i0.17471.

    Brasseur, O. (2001), Development and application of a physical approach to estimating wind gusts, Mon. Weather Rev., 129, 5-25.

    Buishand, A., and T. Brandsma (1997), Comparison of circulation classification schemes for predicting temperature and precipitation in the Netherlands, Int. J. Climatol., 17, 875-889.

    Christensen, J., et al. (2007), Regional climate projections, in Climate Change, 2007: The Physical Science Basis, Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, chap. 11, pp. 847-940, Cambridge Univ. Press, Cambridge.

    De Rooy, W. C., and K. Kok (2004), A combined physical-statistical approach for the downscaling of model wind speed, Wea. Forecast., 19, 485-495.

    Dee, D. P., et al. (2011), The ERA-Interim reanalysis: Configuration and performance of the data assimilation system, Q. J. R. Meteorol. Soc., 137, 553-597.

    Donat, M. G., G. C. Leckebusch, J. G. Pinto, and U. Ulbrich (2010), Examination of wind storms over Central Europe with respect to circulation weather types and NAO phases, Int. J. Climatol., 30, 1289-1300, doi:10.1002/joc.1982.

    Fuentes, U., and D. Heimann (2000), An improved statistical-dynamical downscaling scheme and its application to the alpine precipitation climatology, Theor. Appl. Climatol., 65, 119-135.

    Giorgi, F., and L. O. Mearns (1991), Approaches to the simulation of regional climate changes: A review, Rev. Geophys., 29, 191-216.

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