Parametric Approaches for Refractivity-from-Clutter Inversion

Abstract

The long term goal of this project is to develop inversion approaches that enable the estimation of refractivity profiles and the associated uncertainty. Furthermore, we will develop methods for mapping the refractivity parameters and their associated uncertainty into propagation.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2005
Accession Number
ADA572552

Entities

People

  • Peter Gerstoft

Organizations

  • Scripps Institution of Oceanography

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Algorithms
  • Altitude
  • Bayesian Networks
  • Clutter
  • Data Science
  • Genetic Algorithms
  • Information Science
  • Inversion
  • Low Altitude
  • Monte Carlo Method
  • Probability
  • Probability Distributions
  • Radar
  • Radar Clutter
  • Statistical Algorithms
  • Statistical Analysis
  • Uncertainty

Fields of Study

  • Physics

Readers

  • Computational Modeling and Simulation
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers