This webinar will show common ways to represent daily precipitation rates using historical data or stochastic models. We will talk about how to summarize the data using reporting periods and Integrators, along with time shifting for future models. Finally, we will discuss some statistical analysis techniques and interpolation. This webinar will focus on the Markov Chain method of representing precipitation over time. After an introduction to the stochastic methodology, I will demonstrate its application in a model called WGEN.
Below is a video recording of the webinar presentation:
Download the example models used for this presentation:
- Simulating Monthly Precipitation
- Time Shifting Historic Time Series Data
- Shifting Time Series Data
- Markov Chain Rainfall Simulator
- WGEN Parameter Generator
- WGEN Weather Simulator
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