Intercomparison of Icing Aviation Impact Variable Forecasts Produced During Real-Time Mesoscale Numerical Weather Prediction

Abstract

In 1996 a three year joint effort, Project COMET-Tinker, was initiated between the University of Oklahoma (OU), the Air Force Weather Agency (AFWA), and the Cooperative Program for Operational Meteorology, Education, and Training (COMET) to evaluate the use of real-time mesoscale numerical weather prediction (NWP) by USAF forecasting personnel. Its goal is to examine forecasts of specific aviation impact variables (AIVs) which could be incorporated directly into the weather services provided by the base weather station (BWS) at Tinker Air Force Base (AFB). During a Winter Operational Period (WOP), 23 December 1997 to 31 January 1998, daily nine hour, nine kilometer resolution forecasts were made using the Advanced Regional Prediction System (ARPS) developed by the Center for Analysis and Prediction of Storms (CAPS). Icing forecast products derived from algorithms developed by various weather agencies world-wide were generated using the model output and disseminated to the Tinker BWS via the world wide web (WWW). Verification procedures developed at OU utilizing observational data from surface reporting stations, the Oklahoma Mesonet, and wind profilers, along with comparisons against upper air analysis fields from the Rapid Update Cycle (RUC) were used to evaluate general model performance. Forecast errors were found to be consistent with known model deficiencies and limited to the lower portions of the model domain. Pilot Reports (PIREPs) of in-flight icing conditions were then compared with the ARPS derived icing forecasts to determine the effectiveness of ARPS and the algorithms utilized in predicting the observed icing conditions. Evaluation of the icing forecasts showed that "synoptically" based algorithms performed better than those that relied on microphysical parameterizations inherent in ARPS and other mesoscale models.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1998
Accession Number
ADA359108

Entities

People

  • Christopher M. Stock

Organizations

  • University of Oklahoma

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Energy and Power Technologies
  • Human Systems
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Airborne Warning And Control System
  • Aircraft Equipment
  • Airframes
  • Boundary Layer
  • Computer Programming
  • Computers
  • Coordinate Systems
  • Heat Energy
  • Latent Heat
  • Measurement
  • Meteorology
  • Transport Aircraft
  • Warfare
  • Weather Forecasting
  • Web Browsers

Fields of Study

  • Environmental science

Readers

  • Atmospheric Remote Sensing.
  • Atmospheric Science/Meteorology
  • Computational Modeling and Simulation

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference