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Statistical analysis templates for the Weather Research and Forecasting model and Community Earth System Model

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posted on 2023-09-18, 21:46 authored by Hsin I ChangHsin I Chang, Yoshimitsu Ckikamoto, Christoforus Bayu Risanto

This collection includes coding templates in Matlab, NCL and Python. The codes are used to perform statistical analysis for the Weather Research and Forecasting model (WRF) outputs to understand the extreme Texas drought and flood years. Specific statistical analysis methods used include: Probability of Detection (POD), False Alarm Rate (FAR), Relative Operating Characteristics (ROC), Probability distribution of daily precipitation frequency and pattern correlation maps.

Refer to Post-processed Weather Research and Forecasting model and Community Earth System Model datasets to understand extreme Texas drought and flood years for the associated data files.



For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu

Funding

Useful Prediction of Climate Extreme Risk for Texas-Oklahoma at 4-6 Years

Office of the Secretary of Defense

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