Ever wondered what the uncertainty of your model predictions is? Using the NEW PhytoSim Uncertainty Analysis module you will be able to find out just that.
An uncertainty analysis allows propagating parameter, initial condition and/or input uncertainties through the model to obtain the model output uncertainty. Setting up the analysis requires almost no work, just assign the source uncertainties, select the number of model evaluations and you are good to go. The well-known Monte Carlo technique is used to propagate the uncertainties and Latin Hypercube sampling is used to ensure that the uncertainty distributions are sampled evenly.
Screenshot of a source uncertainty while it’s being sampled:
Screenshot of the model output uncertainty (maximum, 95th percentile, mean, median, 5th percentile and minimum of the distribution):
For more information have a look at the PhytoSim Uncertainty Analysis User Guide webpage.
Pricing: Free for now (beta period will last until the end of 2011), afterwards 499 EUR.
- Make sure you have the latest PhytoSim version.
- Select the Uncertainty Analysis module in the PhytoSim module manager and select ‘Install module’ from the toolbar.