Impact model: ORCHIDEE-CROP


ORCHIDEE-CROP is one of the 14 models following the ISIMIP2a protocol which form the base of simulations for the ISIMIP2a agricultural sector outputs; for a full technical description of the ISIMIP2a Simulation Data from Agricultural Sector, see this DOI link:

Information for the model ORCHIDEE-CROP 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:, 0000-0001-8560-4943, IPSL ( Institute Pierre Simon Laplace) (France)
Xuhui Wang:, 0000-0003-0818-9816, Peking University (China)
Xiuchen Wu:, Beijing Normal University (China)
Output Data
Experiments: historical
Climate Drivers: None
Date: 2016-02-25
Basic information
Model Version: V1.1
Reference Paper: Other References:
Spatial aggregation: regular grid
Horizontal resolution: 0.5°x0.5°
Temporal resolution of input data: co2: annual
Temporal resolution of input data: soil: constant
Input data
Observed atmospheric climate data sets used: GSWP3, PGMFD v2.1 (Princeton), WATCH-WFDEI
Additional input data sets: GGCMI harmonized planting, maturity and fertlizer dataset.
Climate variables: tasmax, tasmin, rlds, wind, rhs, rsds, ps, pr
Natural Vegetation
Natural vegetation partition: no
Management & Adaptation Measures
Management: time-invariant planting/transplanting date, fertilizer aaplication
Key input and Management
Crops: mai, whe(w,s), soy, ric
Land cover: potential suitable cropland area according to climatic conditions, current harvested areas (Portmann et al. 2010; Fader et al. 2010)
Planting date decision: fixed planting dates (Portmann et al. 2010)
Planting density: Crop-specific (default)
Crop cultivars: static
Fertilizer application: N
Irrigation: no restriction on actual water availability, irrigated water applied when water stress
Crop residue: Crop-specific
Initial soil water: 1 year spin up
Key model processes
Leaf area development: Dynamic simulation based on development and growth processes
Light interception: Simple approach
Light utilization: Detailed (explanatory) Gross photosynthesis – respiration, (for more details, see e.g. Adam et al. (2011))
Yield formation: fixed harvest index, partitioning during reproductive stages
Crop phenology: Crop phenology is a function of: temperature; photoperiod (day length); other water/nutrient stress effects considered; and vernalization
Root distribution over depth: Exponential
Stresses involved: Water stress, Nitrogen stress, Heat stress
Type of water stress: soil available water in root zone
Type of heat stress: number of grain (pod) set during the flowering period
Water dynamics: soil water capacity approach with 11 soil layers
Evapo-transpiration: Priestley -Taylor
Soil cn modeling: N/A
Co2 effects: Leaf-level photosynthesis-rubisco or on QE and Amax