Markov Process Rainfall Model

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Using a Markov Process to Simulate Wet and Dry Periods

Description

This model simulates a Markov process that randomly switches between a wet state and a dry state to simulate rainfall given some key historic statistics. When in the wet state, a 'WetState' conditional Container is activated, and a random pattern of rainfall is generated. When in the dry state, a 'DryState' conditional Container is activated (and in this model, no rain falls at all).

 

Making Better Decisions In An Uncertain World