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

Abstract

The objective of this proposal is to explore the idea of Maximum Entropy (MaxEnt) as a unifying principle to characterize multi-scaling hydrometeorological parameters such as rainfall and soil moisture, and develop a MaxEnt-based design of data collection networks for the sampling of multiscaling processes. The approach we follow is to relate the scaling distributions of hydrologic variables of interest to the macroscopic properties of the system and then use those distributions in a monitoring

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Document Details

Document Type
Technical Report
Publication Date
Feb 25, 2010
Accession Number
ADA519510

Entities

People

  • Jingfeng Wang
  • Rafael L. Bras

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Atmospheric Motion
  • Boundary Layer
  • Computational Fluid Dynamics
  • Curve Fitting
  • Drainage Basins
  • Energy
  • Entropy
  • Equations
  • Heat Energy
  • Heat Flux
  • Heat Transfer
  • Laser Altimeters
  • Probability
  • Probability Distributions
  • Puerto Rico
  • Surface Energy
  • Wind Velocity

Fields of Study

  • Environmental science

Readers

  • Statistical inference.
  • Theoretical Analysis.
  • Wetland-Land-Environmental Management.