Cross validation errors are computed to find equations that forecast as well as fit the observed data. ESP forecasts for each watershed are developed and compared with the results from the statistical models. Often the approaches complement each other lending insight to the process. The exchange of information in this process improves the quality of forecasts and minimizes conflicting forecast information. In some years, a June forecast is provided.
Improvements come in the form of expanded coverage and increased quality.
Efforts are continuously underway to improve the process used to forecast flooding, spring snowmelt, and water supply volumes.