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  3. Impact model: ORCHIDEE

Impact model: ORCHIDEE

Sector
Water (global)
Region
global

ORCHIDEE 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

Information for the model ORCHIDEE 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
Philippe Ciais: Philippe.ciais@lsce.ipsl.fr, 0000-0001-8560-4943, IPSL ( Institute Pierre Simon Laplace) (France)
Output Data
Experiments: I, II, III, VIII
Climate Drivers: None
Date: 2019-01-31
Basic information
Model Version: ORCHIDEE-MICT v8.4.1
Model Output License: CC BY 4.0
Reference Paper: Other References:
Resolution
Spatial aggregation: regular grid
Horizontal resolution: 0.5°x0.5°
Additional spatial aggregation & resolution information: ORCHIDEE will be run at the resolution of 1o*1o, while we will provide interpolated 0.5o*0.5o output
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: EWEMBI
Emissions data sets used: Atmospheric CO2 concentration
Socio-economic data sets used: Historical, gridded population
Land use data sets used: Historical, gridded land use (HYDE 3.2)
Other data sets used: Land-sea mask, Drainage direction map for river routing
Additional input data sets: STN-30p river network https://daac.ornl.gov/ISLSCP_II/guides/river_routing_stn_xdeg.html
Climate variables: tasmax, tasmin, rlds, rhs, rsds, ps, pr
Spin-up
Was a spin-up performed?: Yes
Spin-up design: We use the 1801-1820 climate condition, pre-industry CO2 (287.14 ppm), land cover map of 1860 to do the spin-up until the soil carbon to be equilibrium. Then a simulation of 1801-1860 pre-industrial period will be run. All other runs since 1861 will follow the protocol, and will be started from previous 1801-1860 run.
Natural Vegetation
Natural vegetation partition: Dynamic natural vegetation cover, with prescribed crop and pasture area.
Natural vegetation dynamics: DGVM
Management & Adaptation Measures
Management: no
Technological Progress
Technological progress: No
Soil
Soil layers: 11 layer water difussion
Water Use
Water-use types: No
Water-use sectors: we only have nosoc runs
Routing
Runoff routing: STN-30p river network
Land Use
Land-use change effects: MIRCA dynamic land use change
Dams & Reservoirs
Dam and reservoir implementation: No
Calibration
Was the model calibrated?: No
Vegetation
Is co2 fertilisation accounted for?: Yes
How is vegetation represented?: Dynamic natural vegetation cover, with prescribed crop and pasture area.
Methods
Potential evapotranspiration: "Penman-Monteith, Milly’s correction for soil moisture stress is applied."
Snow melt: Energy balance at the snow surface
Person responsible for model simulations in this simulation round
Philippe Ciais: Philippe.ciais@lsce.ipsl.fr, 0000-0001-8560-4943, IPSL ( Institute Pierre Simon Laplace) (France)
Output Data
Experiments: historical
Climate Drivers: None
Date: 2016-05-11
Basic information
Model Version: rev3013
Model Output License: CC BY 4.0
Reference Paper: Main Reference: Traore A, Ciais P, Vuichard N, Poulter B, Viovy N, Guimberteau M, Jung M, Myneni R, Fisher J et al. Evaluation of the ORCHIDEE ecosystem model over Africa against 25 years of satellite-based water and carbon measurements. Journal of Geophysical Research: Biogeosciences,119,1554-1575,2014
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: GSWP3, PGMFD v2.1 (Princeton), WATCH (WFD), WATCH-WFDEI
Climate variables: tasmax, tasmin, rlds, wind, rhs, rsds, ps, pr
Spin-up
Was a spin-up performed?: Yes
Spin-up design: We use the 1901-1910 climate condition, pre-industry CO2 (287.14 ppm), land cover map of 1860 to do the spin-up until the soil carbon to be equilibrium. Then a simulation from 1861 to 1900 was performed with varied CO2 and land-cover/land-use change, and climate of 1901-1910 cycled. The final transient simulation of 1901-2012 was forced by varied climate, CO2 and land-cover/land-use change.
Natural Vegetation
Natural vegetation partition: Prescribe natural vegetation cover. The land cover map is derived from GLC2000, and classified according to Poulter et al., 2011. The land-cover change is derived from Hurtt et al., dataset.
Management & Adaptation Measures
Management: no
Technological Progress
Technological progress: No
Soil
Soil layers: 11 layer water difussion
Water Use
Water-use types: No
Water-use sectors: we only have nosoc runs
Routing
Runoff routing: will be based on DDM30
Land Use
Land-use change effects: MIRCA dynamic land use change
Dams & Reservoirs
Dam and reservoir implementation: No
Calibration
Was the model calibrated?: No
Vegetation
Is co2 fertilisation accounted for?: Yes
How is vegetation represented?: Dynamic simulation of growth and productivity (with prescribed spatial distribution of crops and pasture), annual natural vegetation fraction (PFTs) is forced based on harmonized GLC2000 for year 2000 and LUH dataset (Hurtt et al., 2011) for land cover change.
Methods
Potential evapotranspiration: "Penman-Monteith, Milly’s correction for soil moisture stress is applied."
Snow melt: Energy balance at the snow surface




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