Quantifying Uncertainty Through Global and Mesoscale Ensembles

Abstract

The long-term goal of this project is to develop robust global and mesoscale ensemble analysis and forecast systems that are able to provide probabilistic forecast guidance in an operational environment. Although most operational centers rely solely on single deterministic forecasts from numerical weather prediction models, recent advances in probabilistic prediction, or ensemble forecasting, have made this a very powerful tool for providing more complete input on environmental conditions, including a measure of the forecast confidence. Since the atmosphere is inherently chaotic, the model predictions of most, if not all phenomena will always be sensitive to the model initial conditions and physical parameterizations.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2008
Accession Number
ADA532886

Entities

People

  • Teddy R. Holt

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Air Temperature
  • Atmospheres
  • Boundaries
  • Boundary Layer
  • Convection
  • Delphi Method
  • Distribution Functions
  • Meteorology
  • Models
  • Probability
  • Prototypes
  • Sea Surface Temperature
  • Surface Temperature
  • Tactical Decision Aids
  • Tropical Cyclones
  • Uncertainty
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Computational Modeling and Simulation