Bayesian Hierarchical Models to Augment the Mediterranean Forecast System

Abstract

The long term goal, spanning both phases of the research program, is to demonstrate Bayesian Hierarchical Model (BHM) utility in several aspects of operational ocean forecasting. The specific goal in Phase II (beginning June 2007) is to complete a proof-of-concept demonstration of BHM methods in SuperEnsemble (SE) ocean forecasts. Multi-model and multi-parameter demonstrations are being developed in MFS-SuperEnsemble-BHM.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2008
Accession Number
ADA533987

Entities

People

  • Christopher K. Wikle
  • Emanuele Di Lorenzo
  • Mark Berliner
  • Ralph F. Milliff

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Atmospheric Sciences
  • Climate Change
  • Covariance
  • Delphi Method
  • Demonstrations
  • Experimental Design
  • Iterations
  • Mediterranean Sea
  • North Pacific Ocean
  • Oceans
  • Pacific Ocean
  • Pressure Gradients
  • Salinity
  • Sensitivity
  • Statistics
  • Technology Transfer
  • Universities

Fields of Study

  • Environmental science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Software Engineering

Technology Areas

  • AI & ML