TY  - JOUR 
AU  - Molina González, José Luis
AU  - Patino Alonso, María Carmen
AU  - Espejo Almodóvar, Fernando Antonio
PY  - 2025
SN  - 0920-4741
UR  - http://hdl.handle.net/10366/168293
AB  - [EN]Rainfall is probably the most uncertain natural variable. This research is mainly aimed to design an intelligent data-driven tool called Bayesian Stochastic Rainfall Generator (BSRG) for improving the rainfall forecast. There are several previous...
LA  - eng
PB  - Springer Nature
KW  - Stochastic Rainfall Generator
KW  - Bayesian Causal Modelling
KW  - Rainfall Forecasting
KW  - Artificial Intelligence
KW  - Bayes Theorem
TI  - Bayesian Stochastic Rainfall Generator (BSRG): Intelligent and Digital tool for Rainfall Forecasting through Bayesian Causal Modelling
DO  - 10.1007/s11269-025-04143-4
T2  - Water Resources Management
VL  - 39
M2  - 4033
ER  -