Post-processed Weather Research and Forecasting model and Community Earth System Model datasets to understand extreme Texas drought and flood years

This collection of data includes post-processed 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. Data format includes: Matlab and NetCDF. This data collection is part of research material for a Journal of Geophysical Research - Atmosphere manuscript.

Refer to Statistical analysis templates for the Weather Research and Forecasting model and Community Earth System Model for the associated code files.