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This lecture discusses rainfall models used in water resources engineering, focusing on deterministic and stochastic models. Deterministic models predict future atmospheric conditions based on physical laws, while stochastic models include randomness to forecast statistically meaningful time series. The lecture covers the generation of rainfall time series, calibration, and spatially explicit models.