Saved in:
Bibliographic Details
Main Authors: Yang, Lu, Shang, songhao
Format: Recurso digital
Language:
Published: Zenodo 2026
Subjects:
Online Access:https://doi.org/10.5281/zenodo.19594262
Tags: Add Tag
No Tags, Be the first to tag this record!
Table of Contents:
  • <p>This repository contains the code associated with:</p> <p>Yang, L., Shang, S. (2026) (under review)  <br>A simple two-feature-point method for actual evapotranspiration estimation: algorithm development and global validation.</p> <p>The code implements the full T2 model workflow, including FLUXNET2015 data preprocessing, site-level dataset construction, evapotranspiration (ET) simulation, and result validation.</p> <p>To reproduce the results, download the FLUXNET2015 dataset manually and place it in the /raw_data/ directory, then run the scripts sequentially as described in the README.</p> <p>The T2 method provides a simple framework for daily evapotranspiration estimation without temporal upscaling, reduces dependence on vegetation indices, and improves robustness in feature-space representation, enabling a fully reproducible end-to-end workflow.</p>