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- W2080132922 abstract "Windstorms are a major source of economic damage in Europe. To study their impacts on regional scales, scientists need large data sets of detailed, high-resolution wind field data. However, high-resolution regional simulations are computationally expensive. Haas and Pinto developed a statistical approach to downscale wind characteristics from large-scale atmospheric models to obtain wind speed data on smaller scales. They use their method to derive windstorm-related gust speeds on a small-scale grid over Europe for a sample of windstorm events. The method is computationally inexpensive and reproduces observed windstorm events adequately, the authors report. The technique can be applied to ensembles of global climate models to project the potential future regional impacts of wind in a changing climate. (Geophysical Research Letters, doi:10.1029/2012GL054014, 2012)" @default.
- W2080132922 created "2016-06-24" @default.
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- W2080132922 date "2013-02-05" @default.
- W2080132922 modified "2023-09-27" @default.
- W2080132922 title "Computationally inexpensive way to study windstorms on small scale" @default.
- W2080132922 doi "https://doi.org/10.1002/2013eo060010" @default.
- W2080132922 hasPublicationYear "2013" @default.
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