A univariate model for long-term streamflow forecasting Academic Article uri icon

abstract

  • This paper, the first in a series of two, employs the principle of maximum entropy (POME) via maximum entropy spectral analysis (MESA) to develop a univariate model for long-term streamflow forecasting. Three cases of streamflow forecasting are investigated: forward forecasting, backward forecasting (or reconstruction) and intermittent forecasting (or filling in missing records). Application of the model is discussed in the second paper. © 1991 Springer-Verlag.

author list (cited authors)

  • Krstanovic, P. F., & Singh, V. P.

citation count

  • 21

publication date

  • September 1991