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

<p>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.</p> <p>Refer to <a href="https://doi.org/10.25422/azu.data.23820672" target="_blank">Statistical analysis templates for the Weather Research and Forecasting model and Community Earth System Model</a> for the associated code files.</p> <p><br></p> <p></p><hr><em>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</em><p></p> <p><br></p>