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
ADA534098

Entities

People

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

Organizations

  • Northwest Research Associates

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

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

Fields of Study

  • Environmental science

Readers

  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Software Engineering
  • Software Engineering.

Technology Areas

  • AI & ML