Diagnostic parameters of numerical weather model for aviation operation decision

Abstract

Abstract:

The severe weather has a strong effect on air transportation. The introduction of numerical weather prediction model for diagnostic analysis would be a good way for the airlines to take effective operational control decisions by improving the accuracy and usefulness meteorological information. The torrential rain occurred in Beijing area is taken for example,the new generation mesoscale WRF model is used to simulate the atmosphere andweather,then the visibility,lifting condensation level,the amount of low cloud and Richardson number are analyzed with simulation results. It is found that diagnostic results and the actual probe data are in good
agreement,so the numerical model can be used to provide more efficient and effective meteorological information when aircraft are taking off,landing and cruising,which will improve the efficiency of controlling and decision-making for air traffic control officers.

Key words: WRF model, AOC, lifting condensation level, Richardson number

CLC Number:

V355
P457.5

JIANG Li-hui,CHEN Xing,GUO Wei,YU Liang,Qin Yu-tao. Diagnostic parameters of numerical weather model for aviation operation decision[J]. .

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