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- During publication an issue was identified with a small subset of the Windstorm footprints NetCDF files. The issue only affects the NetCDF metadata labels FX:long_name "Wind Gust estimates: MLR monthly maximum wind gust". These are incorrectly labelled and should instead state max_wind_gust:long_name = "maximum 10-m wind gust". All files contain the correct variable data and the wind gusts were calculated from a 72-hour maximum as stated in Table 2.
- The filename for data from Storm Xynthia is incorrectly labelled 2009 instead of 2010 (correct). Users should continue to use the data for Storm Xynthia understanding that it is from the year 2010. Users should be aware that the mis-labelled filename may affect their workflows.
Concluding Remarks
Storm footprints serve as input for economic loss calculations as part of the Windstorm Service. The validation results presented in section 2.4.3 give good confidence that statistical downscaling through the Multiple Linear Regression (MLR) model, described in section 2.4.2, provides good estimates of the strongest wind gusts which are of most relevance for economic loss and risk calculations. The MLR model has proven robust for new (recent) storms entering the Windstorm Service.
The use of storm footprints based on the statistical downscaling approach is limited to land areas. This does not limit the purpose of the Windstorm Service since damage and economic loss from windstorms is mainly over land areas. Hence, high quality storm footprints over land suffices for economic loss estimate calculations.
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