Validation of the Air Force Weather Agency Ensemble Prediction Systems

Abstract

Air Force Weather Agency's (AFWA) Ensemble Prediction Systems (EPS), Global Ensemble Prediction System (GEPS), 20km Mesoscale Ensemble Prediction System (MEPS20) and 4km Mesoscale Prediction System (MEPS4), were evaluated from April to October 2013 for 10 locations around the world to determine how accurately forecast probabilities for wind and precipitation thresholds and lightning occurrence match observed frequencies using Aerodrome Routine Meteorological Reports (METARs) and Aerodrome Special Meteorological Reports (SPECIs). Reliability diagrams were created for each forecast hour detailing the Brier skill score (BSS) to depict EPS performance compared to climatology for each site and score composition through reliability, resolution and uncertainty. To illustrate how the BSS changed, the score and its decomposition were plotted for all forecast hours. This study showed that all three EPS suffered from a lightning overforecasting bias at all locations and most forecast hours. For wind speeds, it was clear that decreased model grid spacing allowed better resolution of terrain features, producing a better BSS. Likewise, precipitation was better resolved with increased horizontal resolution as explicit resolution of precipitation processes outperformed cumulus parameterization schemes.

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Document Details

Document Type
Technical Report
Publication Date
Mar 27, 2014
Accession Number
ADA598471

Entities

People

  • William B. Clements

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Atmospheric Sciences
  • Climatology
  • Department Of Defense
  • Frequency
  • Lightning
  • Meteorological Phenomena
  • Meteorology
  • Probability
  • Probability Density Functions
  • Reliability
  • Risk Management
  • Space Sciences
  • Statistical Analysis
  • United States
  • United States Government
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Computational Modeling and Simulation

Technology Areas

  • Space