Parameter list

Water resources

consecutif dry day
les jours consecutif ou il y'a pas de pluie
yearly data only
total rainfall
Total cumulative pluviometry over the period.
formula : "pr" aggregated by "sum"
consecutif wet days
nombre de jours pluvieux consécutifs
formula : "pr[pr>=1]" aggregated by "sum"
river flow
Debit cours d'eau
yearly data only
nb of raining days
Number of days with pluviometry greater than 3mm.
formula : "pr>=1" aggregated by "sum"
nb of raining days sup 20mm
nombre de jours où la pluie est supérieure à 20mm
formula : "pr[pr>=20]" aggregated by "sum"
nb of raining days sup 50mm
nombre de jours où la pluie est supérieure à 50mm
formula : "pr[pr>=50]" aggregated by "sum"
max precipitation
Maximum precipitation in one day
formula : "pr" aggregated by "max"
very wet days 95th percentile
95iem percentile de precipitation
yearly data only
Highest five days precipitation
Max de pluie sur 5 jours
yearly data only
sample daily indice index
Lame d’eau moyenne précipitée par jour de pluie par an
yearly data only

Infrastructure

99th percentile of precipitation
les jours correspondant au 99iem percentile
yearly data only

health

nb of hot days (>40°C)
Number of days where maximum temperature exceeds 40°C.
formula : "tasmax>=40" aggregated by "sum"
90th percentile of daily max temperatures
90th percentile du minimum temperature journaliere
yearly data only
90th percentile of daily min temperatures
90th percentile du maximum de temperature journalière
yearly data only

climat

mean temperature
Monthly / yearly average of daily average temperature.
formula : "tas" aggregated by "mean"
max temperature
Maximum temperature over the month or year.
formula : "tasmax" aggregated by "max"
min temperature
Minimum temperature over the month or year.
formula : "tasmin" aggregated by "min"

agriculture

burntarea
la fraction de point de grille brulee
yearly data only
maize (long cycle)
Yield of 120-days variety maize, average production rate.
yearly data only
maize (short cycle)
Yield of 90-days variety maize, average production rate.
yearly data only
millet (long cycle)
Yield of 120-days variety millet, average production rate.
yearly data only
millet (short cycle)
Yield of 90-days variety millet, average production rate.
yearly data only
sorghum (long cycle)
Yield of 120-days variety sorghum, average production rate.
yearly data only
sorghum (short cycle)
Yield of 90-days variety sorghum, average production rate.
yearly data only

Model list

Not all combinations parameter/scenario/model are available. Many models miss one entire scenario, and some miss specific metrics.

ACCESS1-0

Australian Community Climate and Earth System Simulator 1.0.

https://confluence.csiro.au/display/ACCESS
ACCESS1-3

Australian Community Climate and Earth System Simulator 1.3.

https://confluence.csiro.au/display/ACCESS
bcc-csm1-1

Version 1.1 of the Beijing Climate Center Climate System Model developed at the Beijing Climate Center, China Meteorological Administration, based on NCAR CCSM2.0.1.

http://forecast.bcccsm.ncc-cma.net/web/channel-43.htm
bcc-csm1-1-m

BCC_CSM1.1(m) is based on the Beijing Climate Center Climate System Model version 1.1 with a moderate resolution in their atmospheric component.

http://forecast.bcccsm.ncc-cma.net/web/channel-63.htm
BNU-ESM

Beijing Normal University Earth System Model.

http://esg.bnu.edu.cn/BNU_ESM_webs/htmls/
CanESM2

Second Generation Earth System Model, Canadian Centre for Climate Modelling and Analysis.

http://climate-modelling.canada.ca/climatemodeldata/cgcm4/CanESM2/index.shtml
CMCC-CESM

Centro Euro-Mediterraneo sui Cambiamenti Climatici Earth System Model (Italy).

https://www.cmcc.it/models/cmcc-esm-earth-system-model
CMCC-CM

Centro Euro-Mediterraneo sui Cambiamenti Climatici Climate Model (Italy).

https://www.cmcc.it/models/cmcc-cm
CMCC-CMS

Centro Euro-Mediterraneo sui Cambiamenti Climatici Climate Model (Italy).

CNRM-CM5

National Centre for Meteorological Research (France).

CNRM-CM5 is an Earth system model designed to run climate simulations. It consists of several existing models designed independently and coupled through the OASIS software developed at CERFACS.

https://www.umr-cnrm.fr/spip.php?article126
CSIRO-Mk3-6-0

Partnership between the Commonwealth Scientific and Industrial Research Organisation (CSIRO) and the Queensland Climate Change Centre of Excellence (QCCCE).

https://confluence.csiro.au/public/CSIROMk360
GFDL-CM3

Geophysical Fluid Dynamics Laboratory (Princeton, USA) Coupled Physical Model.

https://www.gfdl.noaa.gov/coupled-physical-model-cm3/
GFDL-ESM2G

Geophysical Fluid Dynamics Laboratory (Princeton, USA) Earth System Model.

The models differ mainly in the physical ocean component. In ESM2G, an independently developed isopycnal model using the Generalized Ocean Layer Dynamics (GOLD) code base was used.

https://www.gfdl.noaa.gov/earth-system-model/
GFDL-ESM2M

Geophysical Fluid Dynamics Laboratory (Princeton, USA) Earth System Model.

The models differ mainly in the physical ocean component. In ESM2M, pressure-based vertical coordinates are used along the developmental path of GFDL’s Modular Ocean Model version 4.1.

https://www.gfdl.noaa.gov/earth-system-model/
HadGEM2-AO

Met Office (UK) climate prediction model HadGEM2 family - Atmosphere only.

https://portal.enes.org/models/earthsystem-models/metoffice-hadley-centre/hadgem2-es
HadGEM2-CC

Met Office (UK) climate prediction model HadGEM2 family - Carbon cycle.

Major differences from HadGEM2-ES are the inclusion of a non-orographic gravity wave drag scheme, production of stratospheric water vapour from methane oxidation, and the removal of the UKCA interactive tropospheric chemistry component.

https://portal.enes.org/models/earthsystem-models/metoffice-hadley-centre/hadgem2-es
HadGEM2-ES

Met Office (UK) climate prediction model HadGEM2 family - Earth System.

https://portal.enes.org/models/earthsystem-models/metoffice-hadley-centre/hadgem2-es
inmcm4

Russian Institute for Numerical Mathematics Climate Model Version 4.

http://www.glisaclimate.org/node/2220
IPSL-CM5A-LR

Insitut Pierre-Simon Laplace (France), low resolution.

https://cmc.ipsl.fr/ipsl-climate-models/ipsl-cm5/
IPSL-CM5A-MR

Insitut Pierre-Simon Laplace (France), medium resolution.

https://cmc.ipsl.fr/ipsl-climate-models/ipsl-cm5/
IPSL-CM5B-LR

Insitut Pierre-Simon Laplace (France), low resolution. IPSL-CM5B has an atmospheric model with very different physical parametrisations.

https://cmc.ipsl.fr/ipsl-climate-models/ipsl-cm5/
MIROC5

Model for Interdisciplinary Research on Climate, new version of the atmosphere-ocean general circulation model cooperatively produced by the Japanese research community.

http://www.icesfoundation.org/Pages/ScienceItemDetails.aspx?siid=181
MIROC-ESM

Model for Interdisciplinary Research on Climate (Japan), Earth System Model.

https://www.researchgate.net/profile/Toshihiko_Takemura/publication/261672318_MIROC-ESM_2010_model_description_and_basic_results_of_CMIP5-20c3m_experiments/links/0f317534f515c34d0e000000/MIROC-ESM-201
MIROC-ESM-CHEM

Model for Interdisciplinary Research on Climate (Japan), Earth System Model.

MIROC-ESM-CHEM is an atmospheric chemistry coupled version of MIROC-ESM.

https://www.researchgate.net/profile/Toshihiko_Takemura/publication/261672318_MIROC-ESM_2010_model_description_and_basic_results_of_CMIP5-20c3m_experiments/links/0f317534f515c34d0e000000/MIROC-ESM-201
MPI-ESM-LR

Max-Planck-Institut für Meteorologie (Germany) Earth System Model, low resolution.

https://www.mpimet.mpg.de/en/science/models/mpi-esm/
MPI-ESM-MR

Max-Planck-Institut für Meteorologie (Germany) Earth System Model, medium resolution.

https://www.mpimet.mpg.de/en/science/models/mpi-esm/
MRI-CGCM3

Meteorological Research Institute, Japan Meteorological Agency.

MRI-CGCM3 is composed of atmosphere-land, aerosol, and ocean-ice models, and is a subset of the MRI’s earth system model MRI-ESM1.

https://www.jstage.jst.go.jp/article/jmsj/90A/0/90A_2012-A02/_article
MRI-ESM1

Meteorological Research Institute, Japan Meteorological Agency - Earth System Model Version 1.

http://www.mri-jma.go.jp/Publish/Technical/DATA/VOL_64/index_en.html
NorESM1-M

Norwegian Earth System Model.

https://www.geosci-model-dev.net/6/687/2013/gmd-6-687-2013.html

Scenarii

Representative Concentration Pathways (rcp) are greenhouse gas concentration trajectories adopted by the IPCC in 2014. They describe possible climate futures, all of which are considered possible depending on how much greenhouse gases are emitted in the years to come. RCP2.6, RCP4.5, and RCP8.5 are named after a possible range of radiative forcing values in the year 2100 relative to pre-industrial values (+2.6, +4.5, and +8.5 W/m2, respectively)

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