1. Homepage
  2. Impact Model Settings & Characteristics
  3. Impact model: DBH

Impact model: DBH

Sector
Water (global)
Region
global

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

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.

Person responsible for model simulations in this simulation round
Xingcai Liu: xingcailiu@igsnrr.ac.cn, 0000-0001-5726-7353, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences (China)
Additional persons involved: Dr Xingcai Liu, xingcailiu@igsnrr.ac.cn
Output Data
Experiments: I, II
Climate Drivers: None
Date: 2017-09-27
Basic information
Model Version: v1
Model Output License: CC BY 4.0
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:
Resolution
Spatial aggregation: regular grid
Horizontal 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
Simulated atmospheric climate data sets used: IPSL-CM5A-LR
Emissions data sets used: Atmospheric CO2 concentration
Other data sets used: Land-sea mask
Climate variables: sfcWind, tasmax, tas, tasmin, rlds, 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
Calibration
Was the model calibrated?: No
Vegetation
Is co2 fertilisation accounted for?: No
How is vegetation represented?: static vegetation parameters.
Methods
Potential evapotranspiration: N/A
Snow melt: Energy balance method.
Confirm data for simulation round ISIMIP2a
Person responsible for model simulations in this simulation round
Zhongwei Huang: huangzw.14b@igsnrr.ac.cn, Chinese Academy of Sciences (China)
Xingcai Liu: xingcailiu@igsnrr.ac.cn, 0000-0001-5726-7353, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences (China)
Qiuhong Tang: tangqh@igsnrr.ac.cn, 0000-0002-0886-6699, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences (China)
Additional persons involved: Xingcai Liu, xingcailiu@igsnrr.ac.cn
Output Data
Experiments: historical
Climate Drivers: None
Date: 2016-11-17
Basic information
Model Version: v1
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:
Resolution
Spatial aggregation: regular grid
Horizontal 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
Observed atmospheric climate data sets used: GSWP3, PGMFD v2.1 (Princeton), WATCH (WFD), WATCH-WFDEI
Emissions data sets used: Atmospheric CO2 concentration
Land use data sets used: Historical, gridded land use (HYDE 3.0)
Other data sets used: Land-sea mask, Drainage direction map for river routing, GRanD reservoirs & dams
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 dynamics: N/A
Natural vegetation cover dataset: Global Land Cover for SiB2 model
Management & Adaptation Measures
Management: N/A
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.
Calibration
Was the model calibrated?: No
Vegetation
Is co2 fertilisation accounted for?: Yes
Methods
Potential evapotranspiration: N/A
Snow melt: Energy balance
Person responsible for model simulations in this simulation round
Zhongwei Huang: huangzw.14b@igsnrr.ac.cn, Chinese Academy of Sciences (China)
Xingcai Liu: xingcailiu@igsnrr.ac.cn, 0000-0001-5726-7353, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences (China)
Qiuhong Tang: tangqh@igsnrr.ac.cn, 0000-0002-0886-6699, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences (China)
Additional persons involved: Xingcai Liu, xingcailiu@igsnrr.ac.cn
Output Data
Experiments: historical, rcp26, rcp45, rcp60, rcp85
Climate Drivers: None
Date: 2013-12-13
Basic information
Model Version: v1
Model Homepage: http://hydro.iis.u-tokyo.ac.jp/DBH/
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:
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: GCM atmospheric climate data (Fast Track)
Other data sets used: Drainage direction map for river routing
Spin-up
Was a spin-up performed?: Yes
Spin-up design: Spin-up period: 1951-1970
Natural Vegetation
Natural vegetation dynamics: N/A
Management & Adaptation Measures
Management: N/A
Routing
Runoff routing: Linear reservoir model.
Routing data: TRIP river network.
Land Use
Land-use change effects: N/A
Dams & Reservoirs
Dam and reservoir implementation: N/A
Calibration
Was the model calibrated?: No
Vegetation
Is co2 fertilisation accounted for?: No




Website consultancy, design and implementation:
Matthias Brück
brueck.io

Except where otherwise noted, content on this site is licensed under a Creative Commons Attribution 4.0 International license.