Pan et al. (2026) Estimating daily evapotranspiration from remotely sensed instantaneous observations with surface flux equilibrium (SFE) theory and maximum entropy production (MEP) principle

Identification

• Journal: Journal of Hydrology
• Year: 2026
• Date: 2026-08-01
• Authors: Xin Pan, Zhanchuan Wang, Jinlong Shi, Yuanbo Liu, Zi Yang, Xu Ding, Suyi Liu, Hongjun Zhu, 朱从宝, Shile Yang, Yingbao Yang
• DOI: 10.1016/j.jhydrol.2026.136134

Research Groups

Not specified in the provided text.

Short Summary

The study proposes a method to estimate daily evapotranspiration by utilizing instantaneous remote sensing observations through the application of surface flux equilibrium (SFE) theory and the maximum entropy production (MEP) principle.

Objective

• To develop a framework for estimating daily evapotranspiration from instantaneous remotely sensed observations using SFE theory and the MEP principle.

Study Configuration

• Spatial Scale: Not specified in the provided text.
• Temporal Scale: Daily estimation based on instantaneous observations.

Methodology and Data

• Models used: Surface Flux Equilibrium (SFE) theory and Maximum Entropy Production (MEP) principle.
• Data sources: Remotely sensed instantaneous observations.

Main Results

Not specified in the provided text.

Contributions

Not specified in the provided text.

Funding

Not specified in the provided text.

Citation

@article{Pan2026Estimating,
  author = {Pan, Xin and Wang, Zhanchuan and Shi, Jinlong and Liu, Yuanbo and Yang, Zi and Ding, Xu and Liu, Suyi and Zhu, Hongjun and 朱从宝 and Yang, Shile and Yang, Yingbao},
  title = {Estimating daily evapotranspiration from remotely sensed instantaneous observations with surface flux equilibrium (SFE) theory and maximum entropy production (MEP) principle},
  journal = {Journal of Hydrology},
  year = {2026},
  doi = {10.1016/j.jhydrol.2026.136134},
  url = {https://doi.org/10.1016/j.jhydrol.2026.136134}
}