Mitigate flooding risks and effectively manage your hydro facility with high-resolution, regularly updated forecasts projecting 7 days into the future.
Site-specific meteorological observations
Site-specific streamflow observations
Third party off-site observations (temperature, precipitation, streamflow, snow depth)
Vaisala uses physically-based, fully-distributed modeling techniques to produce the Short-Range forecast.
The meteorological weather inputs to the forecast are created by using a mesoscale atmospheric NWP (Numerical Weather Prediction) model to downscale global meteorological forecasts from the NOAA National Centers for Environmental Prediction (NCEP) Global Forecast System (GFS). Forecasts based on the European Center for Medium Range Weather Forecasting (ECMWF) can also be made available.
Vaisala's hydrologic model simulates the land surface water balance (including snowpack and soil moisture) and translates the weather forecast inputs into streamflow forecast outputs. The hydrology model is calibrated to hourly or sub-daily streamflow values and typically uses meteorological information from publically available sources, and optional data provided by the client, to help estimate the watershed conditions at the time of the forecast.
Client inputs are desirable, but not required. While local weather data and streamflow data at your location will greatly improve the forecast quality, if customer-sourced observations are not available, Vaisala will attempt to locate publically available data to meet the forecast needs.
* Hydrologic forecasts are accompanied by precipitation, temperature, wind, and radiation forecasts at multiple locations in and around your watershed.