Water temperature forecasting and estimation using Fourier series and communication theory techniques
Leland Lovell Long · Water Resources Research · 1976
Fourier series and statistical communication theory techniques are utilized in the estimation of river water temperature increases caused by external thermal inputs. An example estimate assuming a constant thermal input is demonstrated. A regression fit of the Fourier series approximation of temperature is then used to forecast daily average water temperatures. Also, a 60‐day prediction of daily average water temperature is made with the aid of the Fourier regression fit by using significant Fourier components.