- Site-specific meteorological observations
- Site-specific streamflow observations
- Third party off-site observations (temperature, precipitation, streamflow, snow depth)
- Hosted, client-specific forecast website
- Local and regional weather and streamflow observations and forecasts
- Custom data files (XLS, CSV, XML, etc.)
- Observed snow conditions
- Monthly forecast verification report (PDF document)
- 4 daily forecast updates switching to hourly updates during flood conditions*
- Forecast of hourly flows for up to 168 hours
Methods and Technology
- Customized numerical weather prediction (NWP) model
- High resolution, customized hydrology model
- Deterministic forecasts with uncertainty estimates
- Delivery method: Fast, reliable, and user-friendly forecasts are hosted on a secure, client-specific website and include graphics, tables, and datafiles of current weather, snowpack and streamflow conditions, and weather and streamflow forecasts.
- Running verification:: Vaisala will show our forecast against actual meteorological and hydrological conditions for the previous 31 days and deliver verification reports at the end of each month.
- >Superior customer service: Vaisala's hydro scientists and customer support staff have years of experience in operational hydro forecasting and are dedicated to providing the best and most customized customer experience available.
More On Our Methodology
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.
If you are unfamiliar with the technical terminology on this page, please visit our Glossary for more information.