New model improves streamflow forecasts accuracy and reduces uncertainty significantly!
The researchers developed a new model to improve streamflow forecasts by using a combination of statistical techniques. They found that including certain external factors in the model helped make the forecasts more accurate and less uncertain. The model they created can handle different types of errors in the data, making it useful for various applications beyond just streamflow forecasting.