Validation Toolbox (Performance Metrics for Remote Sensing Data and Climate Model Simulations)
Updated 7 Nov 2013
A simple and easy to use Validation Toolbox (MATLAB source code) that can be used for evaluation of gridded data including satellite observations, reanalysis data, and weather and climate model simulations. In addition to the commonly used categorical indices, the toolbox includes the Volumetric Hit Index (VHI), Volumetric False Alarm Ration (VFAR), Volumetric Missed Index (VMI), and Volumetric Critical Success Index introduced in:
AghaKouchak A., Mehran A., 2013, Extended Contingency Table: Performance Metrics for Satellite Observations and Model Simulations, Water Resources Research, doi:10.1002/wrcr.20498.
AghaKouchak A., Behrangi A., Sorooshian S., Hsu K., Amitai E., 2011, Evaluation of satellite-retrieved extreme precipitation rates across the Central United States, Journal of Geophysical Research, 116, D02115, doi:10.1029/2010JD014741.
The toolbox includes a sample observation and simulation data sets. Run ValidationToolbox.m to see sample outputs.
HRL (2023). Validation Toolbox (Performance Metrics for Remote Sensing Data and Climate Model Simulations) (https://www.mathworks.com/matlabcentral/fileexchange/41768-validation-toolbox-performance-metrics-for-remote-sensing-data-and-climate-model-simulations), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform CompatibilityWindows macOS Linux
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