Print Friendly and PDF

Markov Process Rain Simulator

Jason -

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).

Experience Level:

Novice

Download the Model File:

 

Tags:

  • markov
  • rainfall
  • precipitation
  • hydrology
  • weather
  • state
Have more questions? Submit a request

Comments