1. 1 WaterWare description Data management, Objects Monitoring, time series Hydro-meteorological data, forecasts Rainfall-runoff: RRM, floods Irrigation water demand Water budget modelling Water quality: STREAM, SPILL Multi-criteria optimization, DSS User support, system maintenance Data management, Objects Monitoring, time series Hydro-meteorological data, forecasts Rainfall-runoff: RRM, floods Irrigation water demand Water budget modelling Water quality: STREAM, SPILL Multi-criteria optimization, DSS User support, system maintenance

2. 2 Rainfall-Runoff: Translates rainfall (and snow) over a catchment into outflow (including snowmelt). RRM is a lumped (homogeneous HRU) vertically distributed, dynamic (daily or hourly) mass budget model, using cascading non-linear reservoirs. Multiple HRUs can be linked into a semi-distributed representation. Translates rainfall (and snow) over a catchment into outflow (including snowmelt). RRM is a lumped (homogeneous HRU) vertically distributed, dynamic (daily or hourly) mass budget model, using cascading non-linear reservoirs. Multiple HRUs can be linked into a semi-distributed representation.

3. 3 RRM processes: Interception storage (vegetation) Snowpack, snowmelt Surface runoff (Hortonian) Evapotranspiration Soil moisture/storage Infiltration, interflow, (deep) percolation Groundwater recharge (deep, shallow) Surface runoff, Exfiltration (soil, groundwater baseflow), channel flow routing. Interception storage (vegetation) Snowpack, snowmelt Surface runoff (Hortonian) Evapotranspiration Soil moisture/storage Infiltration, interflow, (deep) percolation Groundwater recharge (deep, shallow) Surface runoff, Exfiltration (soil, groundwater baseflow), channel flow routing.

4. 4 RRM functionality: Provides outflow estimates from ungauged catchments Uses an automatic, heuristic multi- criteria calibration scheme based on Gestalttheory, ranges and inequalities, evolutionary programming concepts (satisfyzing) derived from scarce observations and experience. Provides outflow estimates from ungauged catchments Uses an automatic, heuristic multi- criteria calibration scheme based on Gestalttheory, ranges and inequalities, evolutionary programming concepts (satisfyzing) derived from scarce observations and experience.

5. 5 RRM input data: Basin morphology Meteorology (observed or modeled) Air temperature Precipitation Observed runoff for calibration (optional) Basin morphology Meteorology (observed or modeled) Air temperature Precipitation Observed runoff for calibration (optional)

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8. 8 Weather forecast: precipitation MM5/WRF meteo model results (5*24 hrs), Storm fronts around October 20 (Turkey, regional) MM5/WRF meteo model results (5*24 hrs), Storm fronts around October 20 (Turkey, regional)

9. 9 Weather forecast: precipitation MM5/WRF meteo model results (5*24 hrs), Storm fronts around October 20 (Izmir, local) Driving water resources and flood forecasting models MM5/WRF meteo model results (5*24 hrs), Storm fronts around October 20 (Izmir, local) Driving water resources and flood forecasting models

10. Weather forecast: validation Validation against real-time data from on-line monitoring network hourly data, comparison criteria from EU 2008/50/EC

12. 12 Rainfall-runoff model: Hourly or daily time step Lumped or semi-distributed Automatic calibration Watershed erosion, non-point source pollution Hourly or daily time step Lumped or semi-distributed Automatic calibration Watershed erosion, non-point source pollution

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21. 21 Flooding: risk assessment needs Precipitation forecast High resolution DEM (30-1 m from stereo satellite ASTER, LIDAR Land use maps Soils, vegetation Drainage network (natural, sewers). Precipitation forecast High resolution DEM (30-1 m from stereo satellite ASTER, LIDAR Land use maps Soils, vegetation Drainage network (natural, sewers).

22. 22 SWMM: storm water management drainage network representation:

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