Impact model: ORCHIDEE

ORCHIDEE is one of the 8 global models following the ISIMIP2a protocol which form the base of simulations for the ISIMIP2a biome sector outputs; for a full technical description of the ISIMIP2a Simulation Data from Biomes Sector, see this DOI link: http://doi.org/10.5880/PIK.2017.002

Sector
Biomes
Region
global
Contact Person

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.

Basic information
Model Version: rev3013
Model output license: CC BY 4.0
Output Data
Experiments: historical
Climate Drivers: GSWP3, PGMFD v.2 (Princeton), WATCH (WFD), WATCH+WFDEI
Date: 2016-02-05
Resolution
Spatial Aggregation: regular grid
Spatial 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 sets used
Observed Atmospheric Climate Data Sets Used: GSWP3, 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.
Key model processes
Dynamic Vegetation: no
Nitrogen Limitation: no
Co2 Effects: yes, Farquhar/Collatz photosynthesis
Light Interception: big-leaf approach
Light Utilization: Farquhar/Collatz photosynthesis
Phenology: Prognostic
Water Stress: influence photosynthesis and phenology
Heat Stress: aggregated degree-day sum that affect phenology
Evapo-Transpiration Approach: "Penman-Monteith, Milly’s correction for soil moisture stress is applied."
Differences In Rooting Depth: no
Permafrost: no
Closed Energy Balance: yes
Coupling/Feedback Between Soil Moisture And Surface Temperature: yes
Latent Heat: yes
Sensible Heat: yes
Causes of mortality in vegetation models
Age/Senescence: no
Fire: for forests no mortality and fire
Drought: no
Insects: no
Storm: no
Stochastic Random Disturbance: no
Other: no
Remarks: for different pools and for grasslands still climate dependence leading to mortality
NBP components
Fire: no
Land-Use Change: yes, all deforestrated biomass transferred to litter pools on land use change
Harvest: 1) C from storage organ added to annual harvest flux, remaining biomass sent to litter; 2) no forest harvest
Other Processes: RH
Species / Plant Functional Types (PFTs)
List Of Species / Pfts: Bare soil (bare); tropical broad-leaved evergreen (trbrev); tropical broad-leaved raingreen (trbrrg); temperate needleleaf evergreen (tendev); temperate broad-leaved evergreen (tebrev); temperate broad-leaved summergreen (tebrsu); boreal needleleaf evergreen (bondev); boreal broad-leaved summergreen (bobrsu); boreal needleleaf summergreen (bondsu); C3 grass (c3gra); C4 grass (c4gra); C3 winter crop (c3win); C3 summer crop (c3sum); C3 rapeseed (c3ras); C4 maize (c4mai); C4 other crops (c4oth)
Comments: provided by Jinfeng Chang - 29-10-2015
Model output specifications
Output Format: per land area, thus when calculating global or regional total, please multiply by land area of each grid
Output Per Pft?: grid-cell totals provided for all variables that are also provided differentiated by PFT but for annual time step. For monthly value, please multiply PFT specific value by PFT fraction of each PFTs (16 PFTs including bare soil but not non-land type water, ice etc.)
Considerations: consider all 16 PFTs.
Fire modules
Aggregation of reported burnt area: The daily output is aggregated to a monthly sum.
Land-use classes allowed to burn: Natural vegetation, ISIMIP-Pasture (managed pastures, rangeland) and urban areas are allowed to burn but not cropland. Urban Land is treated as natural vegetation.
Included fire-ignition factors: Ignitions from anthropogenic and lightning sources based on availability of fuel, combustibility of fuel (soil moisture), presence of ignition source.
Is fire ignition implemented as a random process?: No, forced by lightning flash data and anthropogenic ignitions.
Is human influence on fire ignition and/or suppression included? How?: Both human ignitions and suppressions are implicitly included in a single equation based on population density, only anthropogenic fires are surpressed.
How is fire spread/extent modelled?: Fire spread simulated as a function of fuel load, fuel compact status, fire intensity and wind speed; final fire extent is determined by an assumed mean fire size derived from fire spread rate and duration, and the number of effective ignitions.
Are deforestation or land clearing fires included?: No.
What is the minimum burned area fraction at grid level?: 0
Fire modules
Aggregation of reported burnt area: The daily output is aggregated to a monthly sum.
Land-use classes allowed to burn: Natural vegetation, ISIMIP-Pasture (managed pastures, rangeland) and urban areas are allowed to burn but not cropland. Urban Land is treated as natural vegetation.
Included fire-ignition factors: Ignitions from anthropogenic and lightning sources based on availability of fuel, combustibility of fuel (soil moisture), presence of ignition source.
Is fire ignition implemented as a random process?: No, forced by lightning flash data and anthropogenic ignitions.
Is human influence on fire ignition and/or suppression included? How?: Both human ignitions and suppressions are implicitly included in a single equation based on population density, only anthropogenic fires are surpressed.
How is fire spread/extent modelled?: Fire spread simulated as a function of fuel load, fuel compact status, fire intensity and wind speed; final fire extent is determined by an assumed mean fire size derived from fire spread rate and duration, and the number of effective ignitions.
Are deforestation or land clearing fires included?: No.
What is the minimum burned area fraction at grid level?: 0
Output Data
Experiments: historical, rcp26, rcp60, rcp85
Climate Drivers: GCM atmospheric climate data (Fast Track)
Date: 2013-12-17