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Impact model: ORCHIDEE-MICT

Sector
Biomes
Region
global

For ISIMIP3a simulation, ORCHIDEE-MICT (Guimberteau et al., 2018) branch ORCHIDEE-GM v3.2 (Chang et al., 2021) was used

Information for the model ORCHIDEE-MICT 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.

Confirm data for simulation round ISIMIP3a
Person responsible for model simulations in this simulation round
Jinfeng Chang: changjf@zju.edu.cn, 0000-0003-4463-7778, Zhejiang University (China)
Philippe Ciais: Philippe.ciais@lsce.ipsl.fr, 0000-0001-8560-4943, IPSL ( Institute Pierre Simon Laplace) (France)
Output Data
Experiments: (*) obsclim_histsoc_default, obsclim_1901soc_default, counterclim_histsoc_obsco2, counterclim_histsoc_default, obsclim_histsoc_nofire, obsclim_histsoc_1901co2, counterclim_1901soc_default
Climate Drivers: GSWP3-W5E5
Date: 2023-03-22
Resolution
Spatial aggregation: regular grid
Horizontal resolution: 0.5°x0.5°
Vertically resolved: Yes
Number of vertical layers: 11 layers for soil water, 32 for soil thermal and carbon
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-W5E5 (ISIMIP3a)
Emissions data sets used: Atmospheric composition (ISIMIP3a)
Socio-economic data sets used: Gridded historical land transformation, National, gridded historical population
Land use data sets used: Historical, gridded land use
Other data sets used: Lightning, Drainage direction map for river routing
Climate variables: huss, sfcWind, tasmax, tasmin, rlds, rsds, ps, pr
Spin-up
Was a spin-up performed?: Yes
Spin-up design: 15000 year, pre-industrial CO2 concentration
Natural Vegetation
Natural vegetation partition: Poulter, B. et al. Plant functional type mapping for earth system models. Geoscientific Model Development 4, 993-1010 (2011). Poulter, B. et al. Plant functional type classification for earth system models: results from the European Space Agency's Land Cover Climate Change Initiative. Geoscientific Model Development 8, 2315-2328 (2015).
Natural vegetation dynamics: Forced vegetation dynamics
Natural vegetation cover dataset: Bontemps, S. et al. Consistent global land cover maps for climate modelling communities: current achievements of the ESA’s land cover CCI. Proceedings of the ESA Living Planet Symposium. 9-13 (2013).
Management & Adaptation Measures
Management: Grassland management following Chang et al., 2021 Chang, J., Ciais, P., Gasser, T., Smith, P., Herrero, M., Havlík, P., ... & Zhu, D. (2021). Climate warming from managed grasslands cancels the cooling effect of carbon sinks in sparsely grazed and natural grasslands. Nature Communications, 12(1), 118.
Extreme Events & Disturbances
Key challenges: Fire following Yue et al., 2014, 2015 Yue, C. et al. Modelling the role of fires in the terrestrial carbon balance by incorporating SPITFIRE into the global vegetation model ORCHIDEE – Part 1: simulating historical global burned area and fire regimes. Geoscientific Model Development 7, 2747-2767, doi:10.5194/gmd-7-2747-2014 (2014). Yue, C., Ciais, P., Cadule, P., Thonicke, K. & van Leeuwen, T. Modelling the role of fires in the terrestrial carbon balance by incorporating SPITFIRE into the global vegetation model ORCHIDEE-Part 2: Carbon emissions and the role of fires in the global carbon balance. Geoscientific Model Development 8, 1321-1338 (2015).




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