GLOWA


BMBF


ZEF


University of Bonn





Joint atmospheric-hydrological simulations for near real time water balance estimations

Simulated annual precipitation for 2004 [mm] for the Volta basin using MM5, 9x9km²
Sustainable decisions in water resources management require scientifically sound information on water availability, which includes the quantification of the spatial and temporal changes of water balance variables.

Central support in hydrological decision making arises from hydrological modelling which, in turn, depends on meteorological input. In poorly gauged basins, this task is hampered by the fact that only little hydro-
meteorological information is available.

Station data are only available with a considerable temporal delay and therefore unsuitable for specific questions in water resources management, in particular where basin wide and near real time monitoring is required to support stakeholders and water management authorities in operational irrigation, water supply, or running hydro-power strategies.

Therefore, other data sources for the meteorological driving information for hydrological simulations have to be used.

Spatially and monthly averaged simulated (MM5 D2 (27x27km²) and D3 (9x9km²)) vs. observed precipitation for 2004

For near real time estimations on current water resources and fluxes a model based water balance monitoring system, based on a joint atmospheric-hydrological model system, is applied.
For the meteorological simulations, the mesoscale meteorological model MM5 is used.

Results of the meteorological simulations are applied as meteorological input data for hydrological simulations, which are performed using the Water Balance Simulation Model WaSiM.

The results of the joint atmospheric-hydrological simulations, which are depicted in Figure 1-3, in expost hindcasting mode for the year 2004 show that the meteorological model MM5 is able to provide the required meteorological input data for near real time hydrological simulations in reasonable quality.

Precipitation and routed vs. measured (black) discharge for the subcatchment Pwalugu for 2004 using the gridded, near real time MM5 results D2 (27x27km²) and D3 (9x9km²) as meteorological data sources

In addition to discharge time series, WaSiM provides additional information about the temporal and spatial distribution of further important water balance variables like:
actual evapotranspiration, groundwater recharge, soil moisture, and total runoff, which are required for short-term sustainable decisions in water resources management.

 

Person in charge: Sven Wagner (IMK-IFU)