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Advances in Earth Science >

2019 , Vol. 34 >Issue 6: 596 - 605

DOI: https://doi.org/10.11867/j.issn.1001-8166.2019.06.0596

The Maximum Entropy Production Approach for Estimating Evapotranspiration: Principle and Applications

  • Jingfeng Wang ,
  • Yuanbo Liu ,
  • Ke Zhang
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  • 1. State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210024, China
    2. School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
    Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
Wang Jingfeng（1963-）， male， Beijing City， Associate professor. Research areas include theory and application of hydrometeorology. E-mail：jingfeng.wang@ce.gatech.edu

Received date: 2018-09-04

  Revised date: 2019-05-10

  Online published: 2019-07-05

Supported by

Foundation item: Project supported by the Open Foundation of State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering “Multiscale indicators of climate induced hydrologic cycle change over China”(No. 2017490311);The National Natural Science Foundation of China “Nonparametric approach for estimating evapotranspiration with hysterestic effect”(No. 51879255)

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Abstract

This review introduces a novel method for modeling evapotranspiration and surface heat fluxes built on the theory of Maximum Entropy Production (MEP) as an application of the maximum entropy principle to non-equilibrium thermodynamic systems. The formulation of the MEP model uses the Bayesian probability theory, information theory through the concept of information entropy, and the similarity theory of the atmospheric boundary-layer turbulence. The MPE model provides simultaneous solution of latent, sensible and surface medium heat fluxes using only three input variables: net radiation, surface temperature and specific humidity. A unique feature of the MEP model is that the surface energy balance is closed at a range of space and time scales. The model does not require data of temperature and water vapor gradient, wind speed and surface roughness. It does not include empirical tunable parameters such as atmospheric and stomatal conductance. The MEP model is a promising new approach for the study of water and energy cycles of the Earth system across space-time scales.

Key words： Maximum entropy production; Surface evapotranspiration; Bayesian probability theory; Surface processes; Remote sensing retrieval.

Cite this article

Jingfeng Wang , Yuanbo Liu , Ke Zhang . The Maximum Entropy Production Approach for Estimating Evapotranspiration: Principle and Applications[J]. Advances in Earth Science, 2019 , 34(6) : 596 -605 . DOI: 10.11867/j.issn.1001-8166.2019.06.0596

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