New Methods for Predictability Analysis

Abstract

Our long-term goal is to improve the accuracy of atmospheric and oceanic deterministic and statistical forecast. Specifically, we seek to maximize deterministic forecast accuracy while minimizing observational and computational cost. We also seek to maximize the accuracy and utility of statistical forecasts, which can provide forecast information beyond the time interval over which deterministic forecast is possible.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2002
Accession Number
ADA628459

Entities

People

  • Brian Farrell

Organizations

  • Harvard University

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Assimilation
  • Atmospheric Sciences
  • Control Theory
  • Covariance
  • Engineering
  • Factor Analysis
  • Filters
  • Fluid Flow
  • Intervals
  • Kalman Filters
  • Sea Surface Temperature
  • Statistical Analysis
  • Statistics
  • Surface Temperature
  • Time Intervals

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Neural Network Machine Learning.
  • Operations Research