Impact model: MATSIRO

MATSIRO is one of the 13 global hydrology models following the ISIMIP2a protocol which form the base of simulations for the ISIMIP2a global water sector outputs; for a full technical description of the ISIMIP2a Simulation Data from Water (global) Sector, see this DOI link: http://doi.org/10.5880/PIK.2017.010

Sector
Water (global)
Region
global
Contact Person
  • Yusuke Satoh (satoh@iiasa.ac.at), International Institute for Applied Systems Analysis (Austria)

Information for the model MATSIRO 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.

Basic information
Model Version: MIROC-INTEG
Reference Paper: Main Reference: Takata K, Emori S, Watanabe T et al. Development of the minimal advanced treatments of surface interaction and runoff. Global and Planetary Change,38,209-222,2003
Reference Paper: Other References:
Resolution
Spatial Aggregation: regular grid
Spatial Resolution: 0.5°x0.5°
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 sets used
Simulated Atmospheric Climate Data Sets Used: IPSL-CM5A-LR, HadGEM2-ES, GFDL-ESM2M, MIROC5
Observed Atmospheric Climate Data Sets Used: EWEMBI
Emissions Data Sets Used: CO2 concentration
Land Use Data Sets Used: Future land-use patterns, Historical, gridded land use (HYDE 3.2)
Other Human Influences Data Sets Used: Water abstraction for domestic and industrial uses
Other Data Sets Used: Reservoirs and dams, Land-sea mask, GRanD reservoirs & dams, River-routing network
Climate Variables: ta, tasmax, tas, tasmin, rlds, huss, sfcWind, rsds, prsn, ps, pr
Spin-up
Was A Spin-Up Performed?: Yes
Spin-Up Design: 60-year spin-up before 1661. For the spin-up, we gave MATSIRO forcing data starting from 1661 to 1691 and then backword from 1690 to 1662.
Natural Vegetation
Natural Vegetation Partition: 11 static types with fixed characteristics
Natural Vegetation Dynamics: No
Natural Vegetation Cover Dataset: Land cover and vegetation parameters are taken from the GSWP2 (Dirmeyer et al. 2006).
Soil
Soil Layers: 13 layers
Water Use
Water-Use Types: demand and consumption x actual and potential
Water-Use Sectors: Agricultural (Irrigation), domestic and industrial water use
Routing
Runoff Routing: TRIP model
Routing Data: DDM30
Land Use
Land-Use Change Effects: Irrigation area
Dams & Reservoirs
Dam And Reservoir Implementation: GRanD
Vegetation
Is Co2 Fertilisation Accounted For?: True
Methods
Potential Evapotranspiration: The stomatal resistance is prescribed at a constant rate in the bucket-type model. That is calculated from a photosynthetic scheme on the basis of physiology (Farquhar-type model) after SiB2 (Sellers et al., 1996)
Snow Melt: surface energy-balance methods
Basic information
Model Version: HiGW-MAT
Reference Paper: Main Reference: Pokhrel Y, Koirala S, Yeh P, Hanasaki N, Longuevergne L, Kanae S, Oki T et al. Incorporation of groundwater pumping in a global Land Surface Model with the representation of human impacts. Water Resources Research,51,78-96,2014
Reference Paper: Other References:
Output Data
Experiments: historical
Climate Drivers: GSWP3, PGMFD v.2 (Princeton), WATCH (WFD), WATCH+WFDEI
Date: 2016-08-23
Resolution
Spatial Aggregation: regular grid
Spatial Resolution: 0.5°x0.5°
Temporal Resolution Of Input Data: Climate Variables: 3hrly
Temporal Resolution Of Input Data: Co2: constant
Temporal Resolution Of Input Data: Land Use/Land Cover: constant
Temporal Resolution Of Input Data: Soil: constant
Input data sets used
Observed Atmospheric Climate Data Sets Used: GSWP3, PGMFD v.2 (Princeton), WATCH (WFD)
Climate Variables: tas, rlds, rhs, rsds, prsn, ps, pr
Spin-up
Was A Spin-Up Performed?: Yes
Spin-Up Design: 1951-1970
Natural Vegetation
Natural Vegetation Partition: SiB2 global land cover dataset. fixed vegetation characteristics for 12 types of natural land cover
Management & Adaptation Measures
Management: no
Technological Progress
Technological Progress: Industrial and domestic water demand which relfect GDP growth are one of input of the model
Soil
Soil Layers: 13 layers
Water Use
Water-Use Types: Irrigation (simulated), doemstic (prescribed), industrial (precribed)
Water-Use Sectors: Under process of simulation: Irrigation (simulated), doemstic (prescribed), industrial (precribed)
Routing
Runoff Routing: TRIP (Oki et al. 1999), constant flow velocity (5m/s), DDM30 river routine, GRanD resevoirs (pressoc and varsoc)
Land Use
Land-Use Change Effects: Irrigation area
Dams & Reservoirs
Dam And Reservoir Implementation: Use GranDR resevoir data. Reservoir operation is Monthly base operation and dynamically linked with routing. For varsoc run, the construction year of each dam/reservoir was taken into accounted.
Vegetation
How Is Vegetation Represented?: Monthly LAI, and fixed vegetation characteristics for 12 types of natural land cover
Methods
Potential Evapotranspiration: Penman-Monteith
Snow Melt: Energy balance
Output Data
Experiments: historical, rcp26, rcp45, rcp60, rcp85
Climate Drivers: GCM atmospheric climate data (Fast Track)
Date: 2013-12-17