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titleTable of Contents

Table of Contents
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Acronyms

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titleList of acronyms


Acronym

Description

C3S

Copernicus Climate Change Service

CDS

Climate Data Store

CORINE

CoORdination of Information on the Environment

EAD

Expected Annual Damage

EQC

Evaluation and Quality Control

GDP

Gross Domestic Product

MetUM

Met Office Unified Model

NUTS

nomenclature of territorial units for statistics

ODbL

Open Data Commons Open Database License

OSM

OpenStreetMap

PAGER

Prompt Assessment of Global Earthquakes for Response

RCP

Representative Concentration Pathway

UPSCALE

UK on PRACE: weather-resolving Simulations of Climate for globAL Environmental risk

WISC

Windstorm Information Service Copernicus


Introduction

Executive Summary

...

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. While for loss indicators (damage per storm) the storm footprints where updated, the risk indicators (average damage per year) are based on the synthetic event set that is unchanged since the pre-operational stage.

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1https://wisc.climate.copernicus.eu/wisc/#/

Product Description

Product Target Requirements

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table1
table1
Table 1: Overview of key characteristics of the Tier 3 windstorm risk indicators.

Data Description

Dataset title

Tier 3 windstorm risk indicators

Data type

Risk indicators

Topic category

Natural risk zones

Sector

Insurance

Keyword

Windstorm losses

Dataset language

English

Domain

Europe, for 21 countries (Austria, Belgium, Czech Republic, Denmark, Estonia, Spain, Finland, France, Great Britain, Germany, Ireland, Italy, Lithuania, Luxembourg, Latvia, Netherlands, Norway, Poland, Portugal, Sweden, Switzerland)

  • West: 25°
  • East:40.5°
  • South: 34.4°
  • North: 71.5°

Horizontal resolution

Risk values are given for each identified building footprint

Temporal coverage

Synthetic tracks

Temporal resolution

Risk values represent the Average Annual Damage

Update frequency

None (static dataset)

Version

n/a

Model

high-resolution wind damage model for Europe

Experiment

n/a

Provider

Vrije Universiteit Amsterdam

Terms of Use

OpenStreetMaps Data made available through the Open Data Commons Open Database License (ODbL) was used in the development of the Tier 3 Loss and Risk indicators. Therefore, works produced from OpenStreetMap, need to attribute the Open Database License (ODbL) https://cds.climate.copernicus.eu/api/v2/terms/static/licence-to-use-copernicus-products.pdf

Variable Description

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table2
table2
Table 2: Overview and description of variables.

Variables

Long Name

Short Name

Unit

Description

Building

Building

String

Type of building according to OSM. Varies from only "yes" it is a building, to the actual building type.

Identifier

RISK_ID

Integer

Unique ID of the building. It is a combination of the NUTS ID and the index.

COUNTRY

COUNTRY

string

The country in which the building is located.

LATITUDE

LAT

Float16

Latitude of the centroid of the building.

LONITUDE

LON

Float16

Longitude of the centroid of the building.

LANDUSE CLASS

CLC_2012

Integer

Land-use code corresponding to the Corine Land Cover classification.

AREA

AREA_m2

Float16

Area of the building footprint.

Risk estimates

EAD

integer

Risk value for the building for one year

Input Data

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table3
table3
Table 3: Overview of climate model data for input to Risk indicators, summarizing the model properties and available scenario simulations.

Input Data

Model name

Model center

Scenario

Period

Resolution

OpenStreetMap

© OpenStreetMap-auteurs

n/a

n/a

Building level

CORINE

Copernicus Land Monitoring Service

n/a

CLC 2012

30"

PAGER construction type building stock

U.S. geological service

n/a

n/a

n/a

Synthetic storm tracks

Climate Data Store

n/a

n/a

25km x 25 km

OpenStreetMap (OSM)

All building footprint data are extracted from OSM, which has proven to be the most extensive dataset of publicly available building footprints for Europe. OpenStreetMap is a free, editable map of the whole world that is being built by volunteers largely from scratch and released with an open- content license. The OpenStreetMap License allows free (or almost free) access to our map images and all of our underlying map data. As OSM is user driven, it continuously evolves and improves, improving the building footprint coverage across Europe.

...

Waisman, F. (2015) European windstorm vendor model comparison. in Slides of a presentation at IUA catastrophe risk management conference, London 30

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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

agreement

Agreement 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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