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Acronyms
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Introduction
Executive Summary
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Table 1. Overview of key characteristics of the storm footprints. Anchor table1 table1
Data Description | |
Dataset title | Storm footprint |
Data type | Reanalysis post-processed |
Topic category | Meteorological geographical feature |
Sector | Wind damage |
Keyword | Storm footprint. |
Dataset language | English |
Domain | 20W to 35E and from 35N to 70N |
Horizontal resolution | Gridded at 1.0km, based on 31km resolution of the ERA5 dataset |
Temporal coverage | 1979-01-01/to/2021-03-31 |
Temporal resolution | Maximum 3s wind gust for the 72-hour period is shown at each grid point based on hourly assessments |
Vertical coverage | Single level |
Update frequency | No updates expected |
Version | 1.0 |
Model | ERA5 |
Experiment | n/a |
Provider | KNMI |
Terms of Use | https://cds.climate.copernicus.eu/api/v2/terms/static/licence-to- use-copernicus-products.pdf |
VariableDescription
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Long Name | Short Name | Unit | Description |
Windstorm footprint | - | m s-1 | For an identified storm track, the maximum 3- second 10-m wind gust ( m s-1) over the 72-hour period capturing the storm, crossing Europe. |
Input Data
The input data for the statistical downscaling method includes ERA5 10-meter wind gust, wind gusts estimated from the wind-shear between 100 m and 10 m and station elevation height.
Table 3. Overview of climate model data for input to storm footprint based on statistical downscaling, summarizing the model properties and available scenario simulations. Anchor table3 table3
Input Data | ||||
ERA5 wind gust | ECMWF | Scenario | 1979-2021 | 31 km |
Windgust | (see footnote) | - | 1979-2021 | - |
Station elevation height | - | - | 1979-2021 | 1 km |
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1An effective parametrization of gust profiles during severe wind conditions, Henk W van den Brink, Published 28 November 2019, Environmental Research Communications, Volume 2, Number 1. |
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