Impact model: DBH

The model embeds a biosphere model into a distributed hydrological scheme, representing both topography and vegetation in a mesoscale hydrological simulation, and the model includes an irrigation scheme. DBH is one of the 13 global hydrology models following the ISIMIP2a protocol which form the base of simulations for the ISIMIP2a global water sector outputs; for a full technical description of the ISIMIP2a Simulation Data from Water (global) Sector, see this DOI link: http://doi.org/10.5880/PIK.2017.010

Sector
Water (global)
Region
global, regional
Contact Person
  • Qiuhong Tang (tangqh@igsnrr.ac.cn), Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences (China)

Information for the model DBH 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.

Basic information
Reference Paper: Main Reference: Tang Q, Oki T, Kanae S, Hu H et al. The Influence of Precipitation Variability and Partial Irrigation within Grid Cells on a Hydrological Simulation. Journal of Hydrometeorology,8,499-512,2007
Reference Paper: Other References:
Person Responsible For Model Simulations In This Simulation Round: Dr Xingcai Liu, xingcailiu@igsnrr.ac.cn
Output Data
Experiments: I, II
Climate Drivers: IPSL-CM5A-LR
Date: 2017-09-27
Resolution
Spatial Aggregation: regular grid
Spatial Resolution: 0.5°x0.5°
Temporal Resolution Of Input Data: Climate Variables: daily
Temporal Resolution Of Input Data: Co2: annual
Temporal Resolution Of Input Data: Soil: constant
Input data sets used
Simulated Atmospheric Climate Data Sets Used: IPSL-CM5A-LR
Emissions Data Sets Used: CO2 concentration
Other Data Sets Used: Land-sea mask
Climate Variables: tasmax, tas, tasmin, rlds, sfcWind, rhs, rsds, ps, pr
Exceptions to Protocol
Exceptions: Human water uses were not considered in current runs.
Spin-up
Was A Spin-Up Performed?: Yes
Spin-Up Design: The first 20 years were repeated to spin-up the model. The constant CO2 concentration of 286 ppm was used for the pre-industrial run and 336 ppm was used for the historical and RCP2.6 runs.
Natural Vegetation
Natural Vegetation Dynamics: N/A
Natural Vegetation Cover Dataset: Global Land Cover for Simple Biosphere 2 Model
Soil
Soil Layers: Three soil layers, 9 model parameters. The total depths of soil layer are 1.5 to 3.5 meter for different vegetation type, wherein the top layer is 20 mm, and the root layer is 1.0 to 1.5 meter.
Routing
Runoff Routing: Linear reservoir model. However, the runoff routing was not finished for ISIMIP2b
Routing Data: DDM30
Methods
Potential Evapotranspiration: Energy balance method.
Snow Melt: Energy balance method.
Basic information
Reference Paper: Main Reference: Tang Q, Oki T, Kanae S, Hu H et al. The Influence of Precipitation Variability and Partial Irrigation within Grid Cells on a Hydrological Simulation. Journal of Hydrometeorology,8,499-512,2007
Reference Paper: Other References:
Output Data
Experiments: historical
Climate Drivers: GSWP3, PGMFD v.2 (Princeton), WATCH (WFD), WATCH+WFDEI
Date: 2016-11-17
Resolution
Spatial Aggregation: regular grid
Spatial Resolution: 0.5°x0.5°
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, PGMFD v.2 (Princeton), WATCH (WFD), WATCH+WFDEI
Emissions Data Sets Used: CO2 concentration
Land Use Data Sets Used: Historical, gridded land use (HYDE 3.0)
Other Data Sets Used: Land-sea mask, GRanD reservoirs & dams, River-routing network
Climate Variables: tasmax, tas, tasmin, rlds, wind, rhs, rsds, ps, pr
Spin-up
Was A Spin-Up Performed?: Yes
Spin-Up Design: 20 years (1951-1970)
Natural Vegetation
Natural Vegetation Cover Dataset: Global Land Cover for SiB2 model
Management & Adaptation Measures
Management: none
Soil
Soil Layers: Three soil layers, 9 parameters
Water Use
Water-Use Types: Irrigation
Water-Use Sectors: Irrigation
Routing
Runoff Routing: Linear reservoir. Use DDM30 data
Land Use
Land-Use Change Effects: Varied areas for irrigation and rainfed cropland were used for varsoc runs
Dams & Reservoirs
Dam And Reservoir Implementation: Include a reservoir regulation scheme in the routing model, use GRanD dataset, the number of dams and reservoirs varies for the varsoc runs.
Vegetation
Is Co2 Fertilisation Accounted For?: True
Methods
Potential Evapotranspiration: Energy balance
Snow Melt: Energy balance