Assessment of Penman-Monteith and Priestley-Taylor Based Evapotranspiration Models Across the United States Aridity Gradients Using AmeriFlux Observations and Deep Learning

This archive contains the processed data, derived model outputs, metadata, and Python scripts required to reproduce all figures presented in the manuscript and supporting information associated with the manuscript "Assessment of Penman-Monteith and Priestley-Taylor Based Evapotranspiration Models Across the United States Aridity Gradients Using AmeriFlux Observations and Deep Learning". The package reproduces 10 main manuscript figures and 5 supporting information figures using archived figure-ready datasets and processed model outputs. Included materials consist of performance metrics, feature-importance summaries, explainability outputs, site metadata, and processed daily evapotranspiration data for representative Arizona AmeriFlux sites. The archive is intended for figure reproduction and verification of published results. It does not include raw AmeriFlux observations, AORC meteorological forcing data, MODIS products, ERA5-Land data, model training datasets, or the complete preprocessing and machine-learning training workflows. Instead, it provides the processed inputs necessary to regenerate all published figures exactly as presented in the manuscript. Figure reproduction can be performed by installing the required Python dependencies and running: python scripts/03_reproduce_all_figures.py Expected outputs are 10 manuscript figures and 5 supporting-information figures generated in the figures/reproduced directory.