A Rodriguez, M Rodríguez Alemparte, J Baldi, J Navia, A Delacasa, D Vogel, R Oliveri, C Fernández Pereira, V Bernardi, W O’Neill, I F Palacios, on behalf of the ERACI II Investigators . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ....

We show how the Full Bayesian Signi cance Test (FBST) can be used as a model selection criterion. The FBST was presented by Pereira and Stern [3842] as a coherent Bayesian signi cance test.

The Class A pan coefficient (Kp) has been used to convert pan evaporation (ECA) to grass-reference evapotranspiration (ETo), an important component in water management of irrigated crops. There are several methods to determine Kp values, using wind speed, relative humidity and fetch length and conditions. This paper analyses the following methods to estimate Kp values: Doorenbos & Pruitt (1977)...