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Global Aeris

A global dataset at 0.01° resolution of ten climate variables from 43 climate models under four Shared Socioeconomic Pathways (SSPs) scenarios from the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6). The temporal resolution is annual from 1951 to 2100.

Climate dataset specifications

Header iconSpecification
Header iconDescription

Experiment

CMIP6

Scenarios

4 Shared Socioeconomic Pathways:

  • SSP1-2.6 (Low-carbon, +1.8°C)
  • SSP2-4.5 (Intermediate, +2.7°C)
  • SSP3-7.0 (High-emission, +3.9°C)
  • SSP5-8.5 (Very high-emission, +4.4°C)

Global Warming Levels (GWLs):

  • +1.5 °C (global) / +2 °C (France - TRACC)
  • +2 °C (global) / +2.7 °C (France - TRACC)
  • +3 °C (global) / +4 °C (France - TRACC)

Climate models

The 43 models including :

  • ACCESS-CM2 (Australia, CSIRO & Bureau of Meteorology)
  • ACCESS-ESM1-5 (Australia, CSIRO & Bureau of Meteorology)
  • AWI-CM-1-1-MR (Germany, Alfred Wegener Institute (AWI))
  • AWI-ESM-1-1-LR (Germany, Alfred Wegener Institute (AWI))
  • BCC-CSM2-MR (China, Beijing Climate Center)
  • BCC-ESM1 (China, Beijing Climate Center)
  • CAMS-CSM1-0 (China, Chinese Academy of Meteorological Sciences)
  • CESM2 (USA, NCAR – National Center for Atmospheric Research)
  • CESM2-FV2 (USA, NCAR)
  • CESM2-WACCM (USA, NCAR)
  • CESM2-WACCM-FV2 (USA, NCAR)
  • CMCC-CM2-SR5 (Italy,CMCC – Centro Euro-Mediterraneo sui Cambiamenti Climatici)
  • CNRM-CM6-1 (France, Centre National de Recherches Météorologiques, Météo-France)
  • CNRM-CM6-1-HR (France,Centre National de Recherches Météorologiques, Météo-France)
  • CNRM-ESM2-1 (France,Centre National de Recherches Météorologiques, Météo-France)
  • CanESM5 (Canada,CCCma – Canadian Centre for Climate Modelling and Analysis)
  • E3SM-1-0 (USA, U.S. Department of Energy (DOE))
  • EC-Earth3 (European research consortium, EC-Earth Consortium)
  • EC-Earth3-CC (European research consortium, EC-Earth Consortium)
  • EC-Earth3-Veg (European research consortium, EC-Earth Consortium)
  • EC-Earth3-Veg-LR (European research consortium, EC-Earth Consortium)
  • FGOALS-f3-L (China, LASG, Institute of Atmospheric Physics (CAS))
  • FGOALS-g3 (China, LASG, IAP (Chinese Academy of Sciences)
  • GFDL-ESM4 (USA, NOAA – Geophysical Fluid Dynamics Laboratory)
  • GISS-E2-1-G (USA, NASA Goddard Institute for Space Studies)
  • IITM-ESM (India, Indian Institute of Tropical Meteorology)
  • INM-CM4-8 (Russia, Institute for Numerical Mathematics)
  • INM-CM5-0 (Russia, Institute for Numerical Mathematics)
  • IPSL-CM6A-LR (France, IPSL – Institut Pierre-Simon Laplace)
  • KACE-1-0-G (South Korea, National Institute of Meteorological Sciences (NIMS) & KMA)
  • KIOST-ESM (South Korea, Korea Institute of Ocean Science & Technology)
  • MIROC-ES2L (Japan, JAMSTEC / AORI-UT / NIES)
  • MIROC6 (Japan, JAMSTEC / AORI-UT / NIES)
  • MPI-ESM-1-2-HAM (Germany, Max Planck Institute for Meteorology)
  • MPI-ESM1-2-HR (Germany Max Planck Institute for Meteorology)
  • MPI-ESM1-2-LR (Germany, Max Planck Institute for Meteorology)
  • MRI-ESM2-0 (Japan, Meteorological Research Institute (MRI))
  • NESM3 (China, Nanjing University / NUIST)
  • NorCPM1 (Norway, Norwegian Climate Prediction Model)
  • NorESM2-LM (Norway, Norwegian Climate Center)
  • NorESM2-MM (Norway, Norwegian Climate Center)
  • TaiESM1 (Taiwan, Academia Sinica & NTU (Taiwan Earth System Model))
  • UKESM1-0-LL (United Kingdom, Met Office Hadley Centre & UKESM Consortium)

Spatial Resolution

0.01° x 0.01° Global

Temporal resolution

Three-hourly to annual from 1951 to 2100

Variables

10 climate variables : Relative humidity, Precipitation, Longwave downward radiation, Shortwave downward radiation, Near-surface air temperature, Daily maximum temperature, Daily minimum temperature, Surface wind speed, Eastward wind component, Northward wind component

Format

Netcdf, other formats possible depending on data volume

Dataset image

Climate hazards & indicators

The following table presents the main climate hazards analyzed within the Global Aeris project. The database provides access to more than 200 indicators representing these hazards. Global Aeris therefore constitutes a robust foundation for decision-making, risk assessment, and the development of resilience strategies, applicable across sectors and territories. Additional custom indicators can also be developed upon request to meet regional, sectoral, or project-specific needs.

Header iconNo.Header iconHazardHeader iconSub-categories

01

Change in average temperatures

  • Minimum temperature
  • Mean temperature
  • Maximum temperature

02

Heatwaves

  • Heatwaves
  • Hot days
  • Thermal stress
  • Cooling degree days

03

Cold spells

  • Cold waves
  • Freeze / Thaw cycles
  • Extreme cold
  • Heating degree days

04

Wildfires

  • Fire danger
  • Fire weather index

05

Precipitation variability

  • Evolution of precipitation

06

Snowfall events

  • Snowfall amount

07

Evolution of water resources

  • River flow

08

Hail

  • Hail days

09

Extreme precipitation

  • Intensity of extreme precipitation
  • Precipitation intensity for a recurrence interval (return period)
  • Frequency of extreme precipitation

10

Floods

  • Fluvial flooding
  • Runoff flooding
  • Pluvial flooding
  • Groundwater rise
  • Coastal flooding

11

Drought

  • Meteorological drought
  • Hydrological drought
  • Soil moisture deficit

12

Water stress

--

13

Wind evolution

  • Mean wind speed
  • Mean wind direction

14

Strong winds

  • Extreme winds
  • Breeze
  • Fresh wind
  • Gale
  • Storm
  • Hurricane
  • Tropical cyclones
  • Sea spray

15

Coastal erosion

  • Shoreline retreat and recovery
  • Coastal erosion

16

Landslides

  • Slope movements
  • Shrink–swell clays

17

Avalanches

Avalanches

18

Sea level

  • Sea level rise