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: http://doi.org/10.5880/PIK.2017.006

ISIMIP2a

Confirm data for simulation round ISIMIP2a

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)

Xuhui Wang: wxh.pku@gmail.com, 0000-0003-0818-9816, Peking University (China)

Xiuchen Wu: xiuchen.wu@bnu.edu.cn, Beijing Normal University (China)

Output Data

Experiments: historical
Climate Drivers: None
Date: 2016-02-25

Basic information

Model Version: V1.1

Reference Paper: Main Reference: ORCHIDEE-CROP (v0), a new process-based agro-land surface model: model description and evaluation over Europe.

Reference Paper: Other References: Müller, C., Elliott, J., Kelly, D. et al. et al. The Global Gridded Crop Model Intercomparison phase 1 simulation dataset. Sci Data,6,50,2019

Resolution

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