A Numerical Weather Model’s Ability to Predict Characteristics of Aircraft Icing Environments
| Autor: | Roy Rasmussen, Marcia K. Politovich, Gregory Thompson |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Atmospheric Science
010504 meteorology & atmospheric sciences Meteorology Cloud physics Ice accretion 010502 geochemistry & geophysics Numerical weather prediction 01 natural sciences Icing conditions Liquid water content Environmental science Physics::Atmospheric and Oceanic Physics 0105 earth and related environmental sciences Icing |
| Zdroj: | Weather and Forecasting. 32:207-221 |
| ISSN: | 1520-0434 0882-8156 |
| Popis: | Recent advances in high-performance computing have enabled higher-resolution numerical weather models with increasingly complex data assimilation and more accurate physical parameterizations. With respect to aircraft and ground icing applications, a weather model’s cloud physics scheme is responsible for the direct forecasts of the water phase and amount and is a critical ingredient to forecasting future icing conditions. In this paper, numerical model results are compared with aircraft observations taken during icing research flights, and the general characteristics of liquid water content, median volume diameter, droplet concentration, and temperature within aircraft icing environments are evaluated. The comparison reveals very promising skill by the model in predicting these characteristics consistent with observations. The application of model results to create explicit forecasts of ice accretion rates for an example case of aircraft and ground icing is shown. |
| Databáze: | OpenAIRE |
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