Water Ware description Data management Objects Monitoring time
Water. Ware 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 1
Forecasting: scheduled model runs Automatic/scheduled forecast runs with cascading models: • Hydro-meteorology (MM 5, WRF, GFS) Rainfall-runoff (upstream basins, floods ? ) • Water demand (irrigation, other major users • Dynamic water budget, allocation, reservoir operations Water quality (local, basin wide) • • Operational control (optimization) 2
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Temperature forecast 120 hours (up to a week) NCEP/NOAA GFS data Dynamic Downscaling: hourly, 1 -3 km 5
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Precipitation forecast 120 hours (up to a week) NCEP/NOAA GFS data Dynamic Downscaling: hourly, 1 -3 km 8
Wind(vector) forecast 120 hours (up to a week) NCEP/NOAA GFS data Dynamic Downscaling: hourly, 1 -3 km 9
Weather forecast: reliability ? Comparing 5 day forecast results with “historical” reanalysis data that integrate observations. 10
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Stochastic forecasts: ensembles 13
Stochastic forecasts: ensembles Probability of exceeding some target levels anywhere in the domain “in the future” 14
Knowledge and uncertainty. . . 15
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