image thumbnail

PeterRochford/Skill​MetricsToolbox

version 1.8.1.0 (4.51 MB) by Peter Rochford
A collection of functions for calculating the skill of model predictions against observations.

3.4K Downloads

Updated 05 Jun 2021

From GitHub

View license on GitHub

This toolbox contains a collection of Matlab functions for calculating the skill of model predictions against observations. Its primary value is in producing target and Taylor diagrams.
Evaluation of the predictive skill of models generally rely on analyzing the values provided by a variety of statistical metrics. While this analysis may be relatively straightforward when using a few metrics, it can become complicated when considering multiple model predictions, either for different model parameterizations, with respect to multiple references, or many models. To aid in this analysis, mathematical diagrams have been designed to graphically indicate which models provide the best predictive skill relative to a chosen reference. Two particular types of diagram that are simple to interpret and are widely used are the target and Taylor diagrams. These diagrams provide a means to compile statistical measures of the predictive skill of multiple models into a single graph that facilitates comparison and analysis.

Cite As

Peter Rochford (2021). PeterRochford/SkillMetricsToolbox (https://github.com/PeterRochford/SkillMetricsToolbox), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2018b
Compatible with any release
Platform Compatibility
Windows macOS Linux
Acknowledgements

Inspired by: rgb.m, Taylor Diagram

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.