The C3S storm
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Acronyms
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Introduction
Executive Summary
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The C3S storm footprint dataset consists of footprints from all identified winter storms, by the Storm Tracking module, over the period 1979-2021. For those years excluded from the dataset download form, no storms exceeded the selection criteria threshold of 25m/s 10m winds over land using a 3-degree sampling region. Storm footprint are available in NetCDF format. Figure 1 shows an example of the storm footprint for storm Christian which crossed Europe around 28 November 2013, obtained from the statistical downscaling method using the Multiple Linear Regression (MLR) technique, starting from ERA5 model fields.
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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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Variables | |||
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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An 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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This document has been produced in the context of the Copernicus Climate Change Service (C3S). The activities leading to these results have been contracted by the European Centre for Medium-Range Weather Forecasts, operator of C3S on behalf of the European Union (Delegation agreementAgreement signed on 11/11/2014 and Contribution Agreement signed on 22/07/2021). All information in this document is provided "as is" and no guarantee or warranty is given that the information is fit for any particular purpose. The users thereof use the information at their sole risk and liability. For the avoidance of all doubt , the European Commission and the European Centre for Medium - Range Weather Forecasts have no liability in respect of this document, which is merely representing the author's view. |
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