Technical Bulletin No. 0901: The Importance of Data Quality in a Stream Temperature Model

The goal of this study is to understand the relative importance of different data types used to characterize input values for water quality models that predict receiving water temperatures. It is known that not all data have the same impact on improving model accuracy. The error in input data can be transferred to the model forecasts through compensating for error during the model calibration.