Accuracy and Stability of Filters for Data Assimilation

Abstract

Filtering refers to a broad methodology for the online incorporation of data into mathematical models. it is hence of central importance in numerous application domains in the physical sciences, and in particular it is of direct relevance in a number of areas of importance to the US Navy, including oceanographic data assimilation (based on satellite data and on Lagrangian instruments) and in the monitoring of sea ice a the poles. In this work we will take the major step of developing theories of filter accuracy and stability within the context of these US Navy applications.

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Document Details

Document Type
Technical Report
Publication Date
Nov 21, 2018
Accession Number
AD1064206

Entities

People

  • Andrew M. Stuart

Organizations

  • California Institute of Technology

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Artificial Satellites
  • Assimilation
  • Consistency
  • Filters
  • Filtration
  • Ice
  • Mathematical Models
  • Models
  • Monitoring
  • Physical Sciences
  • Sea Ice

Fields of Study

  • Environmental science

Readers

  • Computational Modeling and Simulation
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Space