The Water and Energy Budget-based Distributed biosphere Hydrological Model with improved Snow physics (WEB-DHM-S) combined the SiB2 land surface model, the GBHM hydrological model, a physically based snowmelt module from SSiB3, a physically based rain-snow temperature threshold dataset, and spatial distributed river depth and width data.
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 sets used
Observed Atmospheric Climate Data Sets Used: GSWP3-W5E5, GSWP3
Land Use Data Sets Used: Historical, gridded land use
Other Data Sets Used: Land-sea mask
Climate Variables: huss, sfcWind, tas, rlds, rsds, ps, pr
Was A Spin-Up Performed?: Yes
Spin-Up Design: The first 10 years.
Natural Vegetation Partition: One vegetation type in each grid.
Natural Vegetation Dynamics: Dynamic of LAI is from the Visit model, MODIS and LAI3g data. Photosynthesis variations are considered.
Natural Vegetation Cover Dataset: From the SiB2 classification
Soil Layers: Three layers. The first layer is 0.05 m.
Land-Use Change Effects: Dynamic of LAI is from the Visit model, MODIS and LAI3g data. Photosynthesis variations are considered.
Is Co2 Fertilisation Accounted For?: True
How Is Vegetation Represented?: Dynamic of LAI is from the Visit model, MODIS and LAI3g data. Photosynthesis variations are considered. The LAI is influenced by CO2.
Potential Evapotranspiration: Water and energy budget
Snow Melt: A physically based snowmelt module from SSiB3
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