This webinar was presented by Jason Lillywhite in May 2011. Below is a brief summary of the presentation.
This webinar introduced Monte Carlo simulation in GoldSim. The first part of this webinar introduced users to the fundamental concept of the methodology, followed by a simple example showing how Monte Carlo is applied in GoldSim. The following basic concepts were discussed in this webinar:
- Probability distributions
- Correlation
- Importance sampling
- Choosing an appropriate probability distribution
- Quantifying uncertainty for input to your models GoldSim elements that incorporate uncertainty (stochastic, timed event, time series, history generator, spreadsheet, timed event, random choice, event delay)
Following this introduction, a more in-depth example demonstrating probabilistic simulation of rainfall and runoff from a basin was demonstrated. This example uses WGEN (Markov chain weather generator) and HSPF (calculating runoff in a pervious drainage basin).
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