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Impact model: CROVER

Sector
Agriculture
Region
global

CROVER is one of the 15 models following the ISIMIP3a/b protocol which form the base of simulations for the ISIMIP3a/b agricultural sector outputs; for a full technical description of the ISIMIP3a Simulation Data from Agricultural Sector, see this DOI link: https://egusphere.copernicus.org/preprints/2023/egusphere-2023-281/

Information for the model CROVER is provided for the simulation rounds shown in the tabs below. Click on the appropriate tab to get the information for the simulation round you are interested in.

Person responsible for model simulations in this simulation round
Takahashi Kiyoshi: ktakaha@nies.go.jp, 0000-0002-0163-545X, National Institute for Environmental Studies (Japan)
Okada Masashi: okada.masashi@nies.go.jp, 0000-0002-5111-0483, National Institute for Environmental Studies (NIES) (Japan)
Output Data
Experiments: picontrol_2015soc_default, historical_2015soc_default, ssp370_2015soc_2015co2, ssp585_2015soc_default, ssp585_2015soc_2015co2, ssp370_2015soc_default, ssp126_2015soc_default, ssp126_2015soc_2015co2
Climate Drivers: GFDL-ESM4, IPSL-CM6A-LR, MPI-ESM1-2-HR, MRI-ESM2-0, UKESM1-0-LL
Date: 2021-09-24
Basic information
Model Output License: CC0
Simulation Round Specific Description: CROVER is one of the currently 15 models following the ISIMIP3a/b protocol which form the base of simulations for the ISIMIP3a/b agricultural sector outputs.
Reference Paper: Main Reference: Jägermeyr J et al. Climate impacts on global agriculture emerge earlier in new generation of climate and crop models. Nature Food,2,873-885,2021
Reference Paper: Other References:
Resolution
Spatial aggregation: regular grid
Horizontal resolution: 0.5°x0.5°
Temporal resolution of input data: climate variables: daily
Temporal resolution of input data: co2: annual
Temporal resolution of input data: land use/land cover: annual
Temporal resolution of input data: soil: constant
Input data
Simulated atmospheric climate data sets used: MRI-ESM2-0, IPSL-CM6A-LR, MPI-ESM1-2-HR, UKESM1-0-LL, GFDL-ESM4
Emissions data sets used: Atmospheric composition (ISIMIP3b)
Other human influences data sets used: N-deposition, N-Fertilizer (ISIMIP3b)
Other data sets used: Soil data (hwsd_soil_data_all_land, hwsd_soil_data_on_cropland)
Climate variables: hurs, sfcWind, tasmax, tas, tasmin, rsds, pr
Spin-up
Was a spin-up performed?: Yes
Spin-up design: The spin-up was conducted until the vertically integrated soil moisture in most (>95%) of the grid cells that were located within the calculation domain showed the convergence by iteratively using the weather data in the first year.
Person responsible for model simulations in this simulation round
Takahashi Kiyoshi: ktakaha@nies.go.jp, 0000-0002-0163-545X, National Institute for Environmental Studies (Japan)
Okada Masashi: okada.masashi@nies.go.jp, 0000-0002-5111-0483, National Institute for Environmental Studies (NIES) (Japan)
Output Data
Experiments: obsclim_2015soc_default
Climate Drivers: GSWP3-W5E5
Date: 2022-03-10
Basic information
Model Output License: CC0
Simulation Round Specific Description: CROVER is one of the currently 15 models following the ISIMIP3a/b protocol which form the base of simulations for the ISIMIP3a/b agricultural sector outputs; for a full technical description of the ISIMIP3a Simulation Data from Agricultural Sector, see this DOI link: https://egusphere.copernicus.org/preprints/2023/egusphere-2023-281/
Reference Paper: Main Reference: Jägermeyr J et al. Climate impacts on global agriculture emerge earlier in new generation of climate and crop models. Nature Food,2,873-885,2021
Reference Paper: Other References:
Resolution
Spatial aggregation: regular grid
Horizontal resolution: 0.5°x0.5°
Temporal resolution of input data: climate variables: daily
Temporal resolution of input data: co2: annual
Temporal resolution of input data: land use/land cover: annual
Temporal resolution of input data: soil: constant
Input data
Observed atmospheric climate data sets used: W5E5v1.0
Emissions data sets used: Atmospheric composition (ISIMIP3a)
Other human influences data sets used: N-deposition, N-Fertilizer (ISIMIP3a)
Other data sets used: Soil data (hwsd_soil_data_all_land, hwsd_soil_data_on_cropland)
Climate variables: hurs, sfcWind, tasmax, tas, tasmin, rsds, pr
Spin-up
Was a spin-up performed?: Yes
Spin-up design: The spin-up was conducted until the vertically integrated soil moisture in most (>95%) of the grid cells that were located within the calculation domain showed the convergence by iteratively using the weather data in the first year.




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