Impact model: CLASSIC-PEAT

ISIMIP3b
ISIMIP3a

Person responsible for model simulations in this simulation round

Zhiguang Chen: ZhiguangChen@cunet.carleton.ca, 0000-0002-5427-1266, Carleton University (Canada)

Sian Kou-Giesbrecht: sian.kougiesbrecht@gmail.com, 0000-0002-4086-0561, Dalhousie University (Canada)

Basic information

Model Homepage: https://cccma.gitlab.io/classic/

Resolution

Spatial aggregation: variable grid

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

Simulated atmospheric climate data sets used: MRI-ESM2-0, IPSL-CM6A-LR, MPI-ESM1-2-HR, UKESM1-0-LL, GFDL-ESM4

Additional input data sets: Atmospheric CH4 concentration from input4MIPs (https://doi.org/10.22033/ESGF/input4MIPs.1118).

Climate variables: huss, sfcWind, tas, rlds, rsds, ps, pr

Spin-up

Was a spin-up performed?: Yes

Spin-up design: The spin-up was 650 years. It used pre-industrial climate and atmospheric CO2 concentration at 1850 levels. For histsoc, DHF were fixed at 1850 levels. For 2015soc, DHF were fixed at 2015 levels.

Natural Vegetation

Natural vegetation partition: Land cover is from the European Space Agency (ESA) Climate Change Initiative (CCI), see https://doi.org/10.5194/essd-10-219-2018.

Natural vegetation dynamics: NA

Natural vegetation cover dataset: https://doi.org/10.5194/essd-10-219-2018

Management & Adaptation Measures

Management: NA

MODEL OUTPUT SPECIFICATIONS

How to calculate global annual total outputs: Global annual total output is calculated by multiplying the file by cellarea and by landfrac (divided by 100).