Using the Maximum Entropy Principle as a Unifying Theory Characterization and Sampling of Multi-Scaling Processes in Hydrometeorology

Abstract

During the period of 01 August 2014 to 31 May 2015 the maximum entropy production (MEP) model, now formulated for all land-cover types including bare soil, canopy, water, snow and ice, was expanded to modeling global surface energy budget, fluxes and greenhouse gases(e.g. carbon dioxide and methane) fluxes, ocean freshwater fluxes, regional crop yield among others. An on-going study suggests that the global annual evapotranspiration (ET) over oceans may be significantly lower than previously thought. The MEP model parameterized turbulent transfer coefficients result in good estimates of surface fluxes of greenhouse gases, a finding pointing to a new method of modeling the global carbon budget using remotely sensed data. A new model of ocean freshwater fluxes derived from sea surface salinity provides independent estimates of ocean ET for cross-validation of the MEP modeled ET.

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Document Details

Document Type
Technical Report
Publication Date
Aug 20, 2015
Accession Number
AD1007428

Entities

People

  • Jingfeng Wang
  • Rafael L. Bras

Organizations

  • Georgia Tech Research Corporation

Tags

Communities of Interest

  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Atmospheric Sciences
  • Bayesian Inference
  • Boundary Layer
  • Case Studies
  • Energy
  • Engineering
  • Equations
  • Heat Energy
  • Heat Flux
  • Latent Heat
  • Probability
  • Probability Distributions
  • Remote Sensing
  • Statistical Distributions
  • Surface Energy
  • Topography

Fields of Study

  • Environmental science

Readers

  • Electrochemical Engineering/ Fuel Cell Technologies
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Wetland-Land-Environmental Management.