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Preceding the operational stage of the Windstorm Service for the Insurance sector, the pre- operational stage WISC1 successfully demonstrated the estimation of economic losses for winter storm events over Europe, based on state-of-the-art numerical weather prediction models and economic loss models. The service applies a chain of models, from models to generate Tier 1 windstorm footprints to an economic model for estimating Tier 3 economic losses, where the latter uses the windstorm footprints as input. In the pre-operational stage the Tier 1 footprints were dynamically downscaled by the UK Met Office (UKMO) Unified mesoscale model based on the ERA- Interim and ERA-20C reanalysis datasets. As this model is not freely available therefore a different approach to develop Tier 1 windstorms was developed by KNMI. This new approach uses the new ERA5 wind fields, instead of the older ERA-interim wind fields, and applies a statistical downscaling using multiple linear regression (STATDOWN) approach described in van den Brink & Whan (2018). In the remainder of the user guide we will refer to the new footprints as STATDOWN footprints, and to the footprints from the pre-operational stage as WISC footprints.
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Product Description
Product Target Requirements
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