Impact model: ECOMAG



Sector
Water (regional)
Region
regional
Contact Person
  • Alexander Gelfan (hydrowpi@mail.ru), Water Problems Institute of RAS, Russia (Russia)

Information for the model ECOMAG 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
Model Version: The same model version as in ISIMIP2a
Model License: CC BY 4.0
Reference Paper: Main Reference: Gelfan A, Kalugin A, Krylenko I, Nasonova O, Gusev Y, Kovalev E et al. Does a successful comprehensive evaluation increase confidence in а hydrological model intended for climate impact assessment?. Climatic change,163,1165-1185,2020
Person Responsible For Model Simulations In This Simulation Round: Alexander Gelfan, Andrey Kalugin, Inna Krylenko
Resolution
Spatial Aggregation: subbasins
Temporal Resolution Of Input Data: Climate Variables: daily
Temporal Resolution Of Input Data: Soil: constant
Input data sets used
Simulated Atmospheric Climate Data Sets Used: IPSL-CM5A-LR, HadGEM2-ES, GFDL-ESM2M, MIROC5
Observed Atmospheric Climate Data Sets Used: EWEMBI
Other Data Sets Used: Reservoirs and dams, Land-sea mask
Climate Variables: hurs, tas, pr
Spin-up
Was A Spin-Up Performed?: Yes
Spin-Up Design: One year was simulated 4 times for spin-up (according to our experience it is enough to reach equilibrium by our model).
Natural Vegetation
Natural Vegetation Dynamics: No
Natural Vegetation Cover Dataset: GLCC
Management & Adaptation Measures
Management: No
Extreme Events & Disturbances
Key Challenges: Model describes in detail the hydrological processes in the cold season, which accounts for extreme events in the basins at high latitudes
Methods
Potential Evapotranspiration: Dalton
Snow Melt: Degree-day method
Vegetation
How Is Vegetation Represented?: GLCC
Routing
Runoff Routing: Kinematic wave equations
Calibration
Was The Model Calibrated?: True
Modelled catchments
Modelled catchments: Lena, MacKenzie
Basic information
Model Version: The model version depends on the regional application
Output Data
Experiments: historical (Mackenzie, Lena)
Climate Drivers: WATCH (WFD)
Date: 2016-02-20
Resolution
Spatial Aggregation: subbasins
Spatial Resolution: mean area of subbasins 915 km2
Additional Spatial Aggregation & Resolution Information: soil and land-use classes within subbasins
Temporal Resolution Of Input Data: Climate Variables: daily
Temporal Resolution Of Input Data: Co2: -
Temporal Resolution Of Input Data: Land Use/Land Cover: time-constant
Temporal Resolution Of Input Data: Soil: constant
Input data sets used
Observed Atmospheric Climate Data Sets Used: WATCH (WFD)
Climate Variables: tas, rhs, pr
Additional Input Data Sets: GRanD for lakes and reservoirs
Exceptions to Protocol
Exceptions: -
Spin-up
Was A Spin-Up Performed?: No
Natural Vegetation
Natural Vegetation Partition: Static Landuse (GLCC)
Management & Adaptation Measures
Management: no
Extreme Events & Disturbances
Key Challenges: model describes in detail the hydrological processes in the cold season, which accounts for extreme events in the basins at high latitudes
Routing
Runoff Routing: Kinematic wave equations
Modelled catchments
Modelled catchments: Lena, Mackenzie