Data for Manuscript entitled "Extended global terrestrial evapotranspiration and gross primary production dataset from 1982 to near present"

Overview This repository contains the comprehensive calibration dataset, model source code, and global spatial-temporal simulation results for the PML-V2.2 (Penman-Monteith-Leuning) model. It provides all the necessary inputs, parameters, and scripts to reproduce the site-level model validations and evaluate global water-carbon cycle dynamics (Evapotranspiration and Gross Primary Production). Reference If you use this dataset or code in your research, please cite the following related paper: Xu, Z., Zhang, Y., Kong, D., Ma, N., & Zhang, X. (2026). Extended global terrestrial evapotranspiration and gross primary production dataset from 1982 to near present. Earth System Science Data, 18(7), 5663–5695. https://doi.org/10.5194/essd-18-5663-2026 Repository Structure & File Descriptions For ease of downloading, the repository is organized into three main compressed archives (.zip). 1. calibration.zip (Site-level Calibration & Validation Data) This folder contains the 8-day temporal resolution datasets used to calibrate and validate the model across global flux tower sites. sites_qc_pml_v22.csv: Metadata for the flux sites used in the calibration process (e.g., site ID, coordinates, and final customized plant functional type IGBP1) after quality control. input_qc_8d_pml_v22.csv: 8-day composite meteorological and remote sensing driving data (forcings) required to run the model. input_output_qc_8d_pml_v22.csv: A comprehensive dataset containing the inputs, benchmark observations (ET_obs, GPP_obs), and calibrated PML-V2.2 model outputs. parameters_IGBP1_pml_v22.csv: Optimized PML-V2.2 model parameters, grouped and calibrated based on the customized plant functional type (IGBP1). site_metrics_cal_cv.csv: Site-level statistical performance metrics (e.g., NSE, KGE, Bias, RMSE, R) evaluated during the calibration and cross-validation phases. 2. code.zip (Model Source Code) Contains the core algorithms (R and Rcpp/C++ implementations) for the PML-V2.2 model. It also includes the example scripts used to extract data, run site-level simulations, evaluate consistency, and generate the final figures presented in the manuscript. 3. figure.zip (Global Patterns & Trends) This folder provides the underlying data for the manuscript's key global figures. figure_9_10_PML_V2.2c_global_pattern_*.nc (6 NetCDF files): Global spatial patterns of Evapotranspiration (ET), Gross Primary Production (GPP), Water Use Efficiency (WUE), and ET component fractions (Ec_fraction, Ei_fraction, Es_fraction). Note: Values in these NetCDF files are explicitly clamped to the plotting limits used in the manuscript figures for direct visualization consistency. figure11_PML_V2.2c_global_mean.csv: Global mean annual time-series data for the core variables (ET, GPP, WUE, Ec, Es, Ei) used to evaluate long-term interannual trends. Usage Notes & Support Quick Start: To reproduce the workflows or utilize the data, please download and extract the three .zip files into a single working directory. The provided example R scripts in the code directory are pre-configured to read data seamlessly from the unzipped calibration and figure folders. Recommendation: It is highly recommended to use our latest data updates to ensure high accuracy! Contact: For any support or inquiries, please contact Zhenwu Xu at [e-mail].