Impact model: MIROC-INTEG-LAND

Sector
Water (global)
Region
global

MIROC-INTEG-LAND (MIROC INTEGrated LAND surface model) is an integrated model that combines the land surface component of global climate model MIROC (Model for Interdisciplinary Research on Climate) with water resources, crop production, land ecosystem, and land-use models. The most significant feature of MIROC-INTEG-LAND is that the land surface model that describes the processes of the energy and water balance, human water management, and crop growth incorporates a land use decision-making model based on economic activities. In MIROC-INTEG-LAND, spatially detailed information regarding water resources and crop yields is reflected in the prediction of future land-use change, which cannot be considered in the conventional integrated assessment models.

MIROC-INTEG-LAND was formerly known as MATSIRO and participated in the ISIMIP FastTrack, 2a and 2b simulation rounds.

Information for the model MIROC-INTEG-LAND 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
Yusuke Satoh: yusuke.satoh@kaist.ac.kr, 0000-0001-6419-7330, Korea Advanced Institute of Science and Technology (KAIST) (Japan)
Additional persons involved: Tokuta Yokohata
Output Data
Experiments: historical_1850soc_default, historical_2015soc_default, ssp585_1850soc_default, ssp126_1850soc_default, ssp585_2015soc-from-histsoc_default, picontrol_histsoc_default, ssp370_2015soc_default, ssp126_2015soc-from-histsoc_default, ssp370_2015soc-from-histsoc_default, ssp370_1850soc_default, picontrol_2015soc-from-histsoc_default, picontrol_1850soc_default, ssp585_2015soc_default, ssp126_2015soc_default, historical_histsoc_default
Climate Drivers: GFDL-ESM4, IPSL-CM6A-LR, MPI-ESM1-2-HR, MRI-ESM2-0, UKESM1-0-LL
Date: 2024-03-13
Basic information
Model Version: MIROC-INTEG-LAND
Model Output License: CC0
Reference Paper: Main Reference: Tokuta Yokohata et al. MIROC-INTEG-LAND version 1: a global biogeochemical land surface model with human water management, crop growth, and land-use change. Geosci. Model Dev.,13,4713–4747,2020
Reference Paper: Other References:
Resolution
Spatial aggregation: regular grid
Horizontal resolution: 0.5’ x 0.5’
Vertically resolved: Yes
Number of vertical layers: 13 soil layers
Temporal resolution of input data: climate variables: 3 hourly
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
Land use data sets used: Historical, gridded land use
Climate variables: huss, sfcWind, tasmax, tas, tasmin, rlds, rsds, prsn, ps, pr
Spin-up
Was a spin-up performed?: Yes
Spin-up design: Using data for 1601-1630, a (preliminary) spin-up simulation was performed in total 120 years (=30 years x 4 times. Going back and forth). Then, the model run from 1601 until the end of the period of a meteorological forcing data.
Natural Vegetation
Natural vegetation partition: 12 land types (= natural vegetation types) are considered.
Natural vegetation dynamics: Not included.
Natural vegetation cover dataset: based on SiB2 land type made from GSWP2-SiB
Soil layers: 13 layers
Soil
Soil layers: 13 layers
Water Use
Water-use types: agriculture (irrigation), domestic, industrial water use
Water-use sectors: agriculture (irrigation), domestic, industrial water use
Routing
Runoff routing: DDM30
Routing data: TRIP (Oki and Sud 1998)
Land Use
Land-use change effects: ISIMIP3b landuse data is used.
Dams & Reservoirs
Dam and reservoir implementation: ISIMIP3b reservoirs_dams data is used. The reservoir scheme is derived from Hanasaki et al. 2008, and large- (>=1e+9 m3) and middle&small-size (<1e+9me) reservoirs are dealt with separately.
Calibration
Was the model calibrated?: No
Vegetation
Is co2 fertilisation accounted for?: Yes
How is vegetation represented?: In terms of stomatal response to CO2, a photosynthetic scheme on the basis of physiology (Farquhar-type model) after SiB2 (Sellers et al., 1996).
Methods
Potential evapotranspiration: PE is calculated by the Penman-Monteith equation in our crop module.
Snow melt: In solving the energy balance
Person responsible for model simulations in this simulation round
Yusuke Satoh: yusuke.satoh@kaist.ac.kr, 0000-0001-6419-7330, Korea Advanced Institute of Science and Technology (KAIST) (Japan)
Output Data
Experiments: obsclim_1901soc_1901co2, obsclim_2015soc_nowatermgt, obsclim_histsoc_nowatermgt, obsclim_histsoc_default, obsclim_2015soc_default, obsclim_2015soc_1901co2, obsclim_1901soc_default, obsclim_histsoc_1901co2, counterclim_histsoc_default, counterclim_1901soc_default, counterclim_2015soc_default, obsclim_histsoc_1901irr
Climate Drivers: 20CRV3, 20CRV3-ERA5, 20CRV3-W5E5, GSWP3-W5E5
Date: 2023-04-03
Basic information
Model Output License: CC0
Reference Paper: Main Reference: Tokuta Yokohata et al. MIROC-INTEG-LAND version 1: a global biogeochemical land surface model with human water management, crop growth, and land-use change. Geosci. Model Dev.,13,4713–4747,2020
Reference Paper: Other References:
Resolution
Spatial aggregation: regular grid
Horizontal resolution: 0.5’ x 0.5’
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: GSWP3-W5E5 (ISIMIP3a), 20CRv3, 20CRv3-ERA5, 20CRv3-W5E5
Emissions data sets used: Atmospheric composition (ISIMIP3a)
Land use data sets used: Historical, gridded land use
Climate variables: huss, sfcWind, tasmax, tas, tasmin, rlds, rsds, prsn, ps, pr
Spin-up
Was a spin-up performed?: Yes
Spin-up design: Using data for 1901-1930, a (preliminary) spin-up simulation was performed in total 120 years (=30 years x 4 times. Going back and forth). Then, the model run from 1901 until the end of the period of a meteorological forcing data.
Natural Vegetation
Natural vegetation partition: 12 land types (= natural vegetation types) are considered.
Natural vegetation dynamics: Not included.
Natural vegetation cover dataset: based on SiB2 land type made from GSWP2-SiB
Soil layers: 13 layers
Soil
Soil layers: 13 layers
Water Use
Water-use types: agriculture (irrigation), domestic, and industrial water use
Water-use sectors: agriculture (irrigation), domestic, and industrial water use
Routing
Runoff routing: TRIP (Oki and Sud, 1998)
Routing data: DDM30
Land Use
Land-use change effects: ISIMIP3a landuse data is used.
Dams & Reservoirs
Dam and reservoir implementation: ISIMIP3a reservoirs_dams data is used. The reservoir scheme is derived from Hanasaki et al. 2008, and large- (>=1e+9 m3) and middle&small-size (<1e+9m3) reservoirs are dealt with separately.
Calibration
Was the model calibrated?: No
Vegetation
Is co2 fertilisation accounted for?: Yes
How is vegetation represented?: In terms of stomatal response to CO2, a photosynthetic scheme on the basis of physiology (Farquhar-type model) after SiB2 (Sellers et al., 1996).
Methods
Potential evapotranspiration: PE is calculated by the Penman-Monteith equation in our crop module.
Snow melt: In solving the energy balance.