Advanced Evapotranspiration Methods and Applications


6.3 FAO-56 PM-based ANN models

DOI: http://dx.doi.org/10.5772/intechopen.81369

Figure 7.

39

ETo process is a function of various climatic factors (Tmax, Tmin, RHmax, RHmin, WS, and Sra). Therefore, it is pertinent to take into account the combined influence of all the climatic parameters on ETo estimation. The ANN models corresponding to

Nonlinear Evapotranspiration Modeling Using Artificial Neural Networks

Scatter plots of ANN models estimated ETo with respect to FAO-56 PM ETo for 15 climatic locations in India.

#### Table 3.

Performance of ANN based ETo models during training.


#### Table 4.

Performance of ANN and MLR based ETo models during testing.

Nonlinear Evapotranspiration Modeling Using Artificial Neural Networks DOI: http://dx.doi.org/10.5772/intechopen.81369
