Impact model: VIC-CMA

VIC is one of the 15 regional hydrology models following the ISIMIP2a protocol which form the base of simulations for the ISIMIP2a regional water sector outputs; for a full technical description of the ISIMIP2a Simulation Data from Water (regional) Sector, see this DOI link: http://doi.org/10.5880/PIK.2018.007

ISIMIP2b
ISIMIP2a

Person responsible for model simulations in this simulation round

Su Buda: subd@cma.gov.cn, China Meteorological Administration (China)

Shanshan Wen: wensans@foxmail.com, https://orcid.org/0000-0002-4320-4228, Nanjing University of Information Science and Technology (China)

Basic information

Model Version: VIC 4.1.2

Model Homepage: https://vic.readthedocs.io/en/master/

Reference Paper: Main Reference: Wen SS, Su BD, Wang YJ, Zhai JQ, Sun HM, Chen ZY, Huang JL, Wang AQ, Jiang T et al. Comprehensive evaluation of hydrological models for climate change impact assessment in the Upper Yangtze River Basin, China. Climatic Change,163,1207-1226,2020

Resolution

Spatial aggregation: regular grid

Horizontal resolution: 0.5°x0.5°

Temporal resolution of input data: climate variables: daily

Temporal resolution of input data: soil: constant

Input data

Simulated atmospheric climate data sets used: IPSL-CM5A-LR, HadGEM2-ES, GFDL-ESM2M, MIROC5

Observed atmospheric climate data sets used: EWEMBI

Climate variables: sfcWind, tasmax, tasmin, pr

Spin-up

Was a spin-up performed?: Yes

Methods

Potential evapotranspiration: Penman-Monteith

Snow melt: Two-layer energy balance at the snow surface

Vegetation

Is co2 fertilisation accounted for?: Yes

Routing

Runoff routing: Linearized St. Venant’s equations

Calibration

Was the model calibrated?: Yes

Modelled catchments

Modelled catchments: Upper Yangtze

Person responsible for model simulations in this simulation round

Su Buda: subd@cma.gov.cn, China Meteorological Administration (China)

Tong Jiang: jiangtong@cma.gov.cn, 0000-0001-8254-4236, China Meteorological Administration (China)

Shanshan Wen: wensans@foxmail.com, https://orcid.org/0000-0002-4320-4228, Nanjing University of Information Science and Technology (China)

Xiaofan Zeng: zengxiaofan@hust.edu.cn, Huazhong University of Science and Technology (China)

Output Data

Experiments: historical (Yangtze)
Climate Drivers: None
Date: 2019-01-15