Supporting Data and Code for "Evaluating the U.S. National Water Model Retrospective Evapotranspiration Simulation using Eddy-Covariance Flux Tower Measurements"

This HydroShare resource contains the data, Python scripts, and documentation used in the study titled \"Evaluating the U.S. National Water Model Retrospective Evapotranspiration Simulation using Eddy-Covariance Flux Tower Measurements\" by Chapagain, Maghami, and Ames. The study assesses monthly evapotranspiration (ET) outputs from the National Water Model (NWM) retrospective simulation across 72 AmeriFlux tower sites representing a range of climate zones, land cover types, and hydrologic regimes within the contiguous United States. The resource includes:

1- Preprocessed ET and meteorological data from NWM and AmeriFlux

2- Analysis scripts for computing performance metrics (e.g., Scaled KGE, PBIAS)

3- Group-wise evaluation by RFC, Köppen-Geiger climate zone, and land use

4- Visualization code for reproducible plots in the manuscript

5- Regime classification and temperature bias assessments

Note: The majority of analysis and visualization steps are provided as Jupyter notebooks, which were run locally in a Python environment. Most results can be reproduced with the included scripts, though some raw input data or dependencies may require additional setup. Additionally, ArcGIS Pro was used primarily for generating the map showing site locations and their hydroclimatic attributes.