Stochastic Analysis of Satellite-Derived Arctic Sea Ice Information

Abstract

Long-term goals include the analysis and synthesis of in-situ and remotely sensed data for the purpose of understanding sea-ice kinematics, dynamics, and thermodynamics. Particular focus includes the careful consideration of temporal-spatial coupling of specific processes relative to the temporal-spatial sampling and uncertainty of select instruments. Resultant algorithms serve to improve the combination of observations and numerical models especially in the construction of observational test cases, model initialization, and data assimilation. The ever increasing complexity and high volume of both models and data necessitates that observation-derived fields be clear and simple synthesis products that are easy to incorporate into models with careful accounting of the data uncertainties.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2002
Accession Number
ADA628077

Entities

People

  • Cathleen A. Geiger
  • S. L. Mcnutt

Organizations

  • University of Delaware

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Accounting
  • Algorithms
  • Artificial Satellites
  • Assimilation
  • Construction
  • Couplings
  • Dynamics
  • Geography
  • High Resolution
  • Ice
  • Kinematics
  • Mechanics
  • Observation
  • Physics
  • Sampling
  • Sea Ice
  • Uncertainty

Fields of Study

  • Environmental science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Coastal Oceanography
  • Distributed Systems and Data Platform Development

Technology Areas

  • Space