Hazard datasets (WIP)#

Caution

Work in progress page!

TODO Past and future climate.

Data Providers#

TODO: keep this section? The Copernicus Climate Change Service (C3S) Climate Data Store (CDS) provides access to a wide variety of climate-related data, including observational data from ground-based instruments, satellites and other sources, reanalysis data, and environmental and climate model projections. Users need to sign up for an account on the CDS website and use the CDS API or the web interface to download the required data.

Tip

Check with your local meteorological service! TODO

General climate datasets#

TODO Quantities that characterize the Earth system. Basic properties of the atmosphere like temperature, wind, and precipitation amounts.

Observations#

TODO

E-OBS

Daily gridded observational dataset for precipitation, temperature, sea level pressure, relative humidity, wind speed and global radiation in Europe based on ECA&D information

Dataset

https://doi.org/10.24381/cds.151d3ec6

Temporal coverage

1950 to near-present

Spatial coverage

25°N-71.5°N, 25°W-45°E

Resolution

0.1° and 0.25° horizontal

CHIRPS

Rainfall Estimates from Rain Gauge and Satellite Observations

Dataset

https://www.chc.ucsb.edu/data/chirps

Temporal coverage

1981 to near-present

Spatial coverage

50°S-50°N

Resolution

0.05° horizontal

Reanalysis#

TODO Recreations of the state of the Earth system by a computer model under the consideration of available observations. Reanalysis combines model data with observations into a complete and consistent dataset using the laws of physics. Not merely an interpolation between observations, but inclusion of scientific knowledge about processes in the atmosphere etc. as encoded in the model.

../../_images/hazard_image.png

Fig. 13 The three stages of reanalysis; the amount of observational data used for the RA per area unit increases from the global to the surface reanalysis as indicated by the arrows. (Source: UERRA data user guide)#

Fig. 13 shows different types of reanalysis and their relationship. Global reanalysis from global weather models. Limited-area models nested inside global models to refine reanalysis data for a specific region. Surface reanalysis based on models of the surface, with global or regional reanalysis data driving the surface model. From global to regional to surface, resolution and use of observations generally increases.

ERA5

Atmospheric reanalysis dataset produced by the European Centre for Medium-Range Weather Forecasts (ECMWF), widely used in climate research, weather forecasting, and other applications. Includes an ensemble component at half the resolution to provide information on synoptic uncertainty.

Dataset

hourly data on single levels, hourly data on pressure levels

Temporal coverage

1940 to near-present

Spatial coverage

global

Resolution

0.25° horizontal

In workflows

Heavy snowfall and blizzards, Windstorm

ERA5-Land

ERA5-Land has enhanced horizontal resolution compared to ERA5, but it covers only land areas. ERA5-land parameter uncertainty currently can be accessed using the equivalent ERA5 fields.

Dataset

https://doi.org/10.24381/cds.e2161bac

Temporal coverage

1950 to near-present

Spatial coverage

global

Resolution

0.1° horizontal

CERRA: Copernicus European Regional ReAnalysis

Regional reanalysis for Europe. Inputs are the observational data, lateral boundary conditions from ERA5 global reanalysis and physiographic datasets describing surface characteristics.

Dataset

single levels, pressure levels, height levels and land component

Documentation

https://doi.org/10.1002/qj.4764

Temporal coverage

1984 to 2022

Spatial coverage

Europe, parts of the North Atlantic and North Africa

Resolution

5.5 km horizontal

UERRA-HARMONIE & MESCAN-SURFEX

Regional reanalysis for Europe. Output from the Uncertainties in Ensembles of Regional ReAnalyses project.

Dataset

single levels, pressure levels, height levels and soil levels

Temporal coverage

January 1961 to July 2019

Spatial coverage

Europe

Resolution

11 km (UERRA-HARMONIE) and 5.5 km (MESCAN-SURFEX) horizontal

Climate Projections#

TODO Data from climate model simulations. Direct and bias-corrected. Runs often started in the past, provide not just future projection but also consistent dataset to represent the present climate.

CMIP6

Global climate model simulations produced for phase 6 of the Coupled Model Intercomparison Project (CMIP). Daily and monthly projections of the historical and future climate from a large number of experiments and models under different scenarios of greenhouse gas emissions.

Dataset

https://doi.org/10.24381/cds.c866074c

Temporal coverage

1850-2014 (historical), 2015-2100 (future)

Scenarios

SSP1-1.9, SSP1-2.6, SSP4-3.4, SSP5-3.4OS, SSP2-4.5, SSP4-6.0, SSP3-7.0, SSP5-8.5

Spatial coverage

global

Resolution

depending on model

CMIP5

Global climate model simulations produced for phase 5 of the Coupled Model Intercomparison Project (CMIP). Daily and monthly projections of the historical and future climate from a large number of experiments and models under different scenarios of greenhouse gas emissions.

Dataset

https://doi.org/10.24381/cds.d3513dbf

Temporal coverage

1850 to 2300 (depending on experiment)

Scenarios

RCP 2.6, 4.5, 6.0, 8.5

Spatial coverage

global

Resolution

0.125° to 5° horizontal (depending on model)

CORDEX: Coordinated Regional Climate Downscaling Experiment

High-resolution regional climate model simulations for Europe, produced by a consortium of European research institutions. Boundary conditions for the regional climate models come from global climate models of CMIP5.

Dataset

https://doi.org/10.24381/cds.bc91edc3

Temporal coverage

1951-2005 (historical), 1989-2008 (evaluation), 2006-2100 (future)

Scenarios

RCP 2.6, 4.5, 8.5 (depending on domain and model)

Spatial coverage

See https://cordex.org/domains/

Resolution

0.11° to 0.44° horizontal (depending on domain and model)

In workflows

Extreme precipitation, Urban heatwaves, Agricultural drought, Heavy snowfall & blizzards

ISIMIP3b: bias-corrected atmospheric climate input data

The Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) provides bias-corrected CMIP6 climate forcing data. The bias-adjustment corrects the simulated data towards corrected ERA5 reanalysis (W5E5).

Dataset

https://doi.org/10.48364/ISIMIP.842396.1

Documentation

https://protocol.isimip.org/#/ISIMIP3b

Temporal coverage

1601-1849 (pre-industrial), 1850-2014 (historical), 2015-2100 (future)

Scenarios

SSP1-RCP2.6, SSP3-RCP7.0, SSP5-RCP8.5

Spatial coverage

global

In workflows

Relative drought

ECLIPS-2.0: bias-corrected EURO-CORDEX

80 annual, seasonal and monthly climate variables for two past and five future periods. Downscaled from output of five regional climate models driven by two greenhouse gas concentration scenarios.

Dataset

https://doi.org/10.5281/zenodo.3952159

Documentation

https://doi.org/10.1002/gdj3.110

Temporal coverage

1961-1990, 1991-2010, 2011-2020, 2021-2140, 2041-2060, 2061-2080, 2081-2100

Scenarios

RCP 4.5, 8.5

Spatial coverage

EURO-CORDEX domain

Resolution

30 arcsec horizontal

In workflows

Wildfire (ML approach)

CHELSA-EUR11

Downscaled climate model output of temperature and precipitation estimates from the Climatologies at high resolution for the earth’s land surface areas (CHELSA) dataset.

Dataset

https://www.doi.org/10.16904/envidat.150

Documentation

Technical specification

Temporal coverage

1981-2000, 1981–2005, 2021-2040, 2041-2060, 2051-2080, 2061-2080

Scenarios

RCP 4.5, 8.5

Spatial coverage

EURO-CORDEX domain

Resolution

30 arcsec horizontal

In workflows

Wildfire (ML approach)

Hazard-specific datasets#

TODO Datasets with pre-processing, event selection, additional modelling applied.

Floods#

JRC river flood hazard maps for Europe and the Mediterranean Basin region

Gridded inundation depth (in m) along the river network, for nine different flood return periods (from 1-in-10-years to 1-in-500-years).

Dataset

http://data.europa.eu/89h/1d128b6c-a4ee-4858-9e34-6210707f3c81

Spatial coverage

Most of geographical Europe and all the river basins entering the Mediterranean and Black Seas in the Caucasus, Middle East and Northern Africa countries. River basins > 150 km².

In workflows

River floods, Flood building damage and population exposed

JRC global river flood hazard maps

Gridded inundation depth (in m) along the river network, for seven different flood return periods (from 1-in-10-years to 1-in-500-years).

Dataset

http://data.europa.eu/89h/jrc-floods-floodmapgl_rp50y-tif

Spatial coverage

Global, except Greenland and Antarctica and small islands with river basins smaller than 500 km²

Resolution

90 m (3 arcseconds)

WRI Aqueduct Floods Hazard Maps
Dataset

https://www.wri.org/data/aqueduct-floods-hazard-maps

Documentation

https://www.wri.org/research/aqueduct-floods-methodology

Temporal coverage

2010, 2030, 2050, 2080

Scenarios

RCP4.5/SSP2, RCP8.5/SSP2, RCP8.5/SSP3

Spatial coverage

global

Resolution

30’’ x 30’’ horizontal

In workflows

River floods

Deltares Global Flood Maps

Inundation maps of flood depth.

Dataset

https://planetarycomputer.microsoft.com/dataset/deltares-floods

Spatial coverage

global

In workflows

Coastal floods

Global sea level change indicators from 1950 to 2050 derived from reanalysis and high resolution CMIP6 climate projections

Statistical indicators of tides, storm surges and sea level that can be used to characterize global sea level in present-day conditions and also to assess changes under climate change.

Dataset

https://doi.org/10.24381/cds.6edf04e0

Temporal coverage

1950 to 2050

Scenarios

SSP5-8.5

Spatial coverage

global

In workflows

Coastal floods

IPCC 6th Assessment Report Sea Level Projections

Sea-level projections associated with the Intergovernmental Panel on Climate Change Sixth Assessment Report.

Dataset

Zenodo, NASA Sea Level Projection Tool

Spatial coverage

global

In workflows

Coastal floods

Heatwaves#

Heat waves and cold spells in Europe derived from climate projections

Number of hot and cold spell days using different European-wide and national/regional definitions developed within the C3S European Health service.

Dataset

https://doi.org/10.24381/cds.9e7ca677

Temporal coverage

1986 to 2085

Spatial coverage

European region (approx. 27°N–72°N and 22°W–45°E)

Resolution

0.1° x 0.1° regular latitude-longitude grid

In workflows

Urban heatwaves

Online Global Land Surface Temperature Estimation from Landsat
Dataset

https://rslab.gr/Landsat_LST.html

Temporal coverage

past; depends on satellite

Spatial coverage

global

In workflows

Urban heatwaves

Fire#

Fire danger indicators for Europe from 1970 to 2098 derived from climate projections

Projections of fire danger indicators for Europe based upon the Canadian Fire Weather Index System (FWI) under future climate conditions

Dataset

https://doi.org/10.24381/cds.ca755de7

Temporal coverage

1970 to 2098

Spatial coverage

Europe

Spatial resolution

0.11° x 0.11° horizontal

In workflows

Wildfire (FWI)

30-Year Canadian Fire Weather Index Simulations over Europe: CMIP6-Informed Temperature and Precipitation Perturbations

30-year Canadian Fire Weather Index (FWI), generated using the Global ECMWF Fire Forecast model, forced by ERA5 reanalysis data (1981-2010). Simulations incorporate perturbations in temperature and precipitation forcings based on CMIP6 climate projections under the SSP2-4.5 medium mitigation scenario.

Dataset

https://doi.org/10.5281/zenodo.10458185

Temporal coverage

1981 to 2010

Spatial coverage

Europe (geographical)

Resolution

31 km horizontal

In workflows

coming soon…

Wind#

Winter windstorm indicators for Europe from 1979 to 2021 derived from reanalysis

Climatological indicators on European winter windstorms and their economic impact derived from ERA5 reanalysis.

Dataset

https://doi.org/10.24381/cds.9b4ea013

Temporal coverage

1979 to 2021; October to March

Spatial coverage

20°W-35°E, 35°N-70°N

Resolution

1 km horizontal

In workflows

Windstorm