Using Integrated EOF Analysis for Evaluation of WRF Simulations in Urban Environments

This item contains all the code and data developed as part of the work that resulted in the paper "Using Integrated EOF Analysis for Evaluation of WRF Simulations in Urban Environments". The primary objective of our project is to develop better techniques for evaluating and diagnosing regional climate model simulations over urban areas. Most traditional approaches rely on one-to-one comparisons between simulated and observed values from meteorological stations or remote sensing data, providing limited information about the model's ability to capture underlying physical processes that ultimately affect urban weather and climate. We use Empirical Orthogonal Function (EOF) analysis to disaggregate daily maximum and minimum temperature and precipitation data into spatial patterns, and compare them with urban patterns from gridded station observations. This provides an innovative way to evaluate the simulated urban effects from regional climate models, helping identify potential issues and areas for improvement associated with specific physical mechanisms that may not be apparent when analyzing raw datasets. The item contains all the code and data needed to replicate our work. Our methods are based on three scripts:1- Script to select a domain size and location appropriate for the correct application of EOF analysis.2- Script containing a series of sensitivity analyses to test the likelihood of any found EOF pattern to be associated with physical phenomena, in contrast to being just statistical noise. 3- Script containing the evaluation of regional climate models by comparing their disaggregated patterns against patterns obtained from observation-based datasets.Full details can be found in the published paper or in the corresponding supplemental material.