Transactions of Nanjing University of Aeronautics & Astronautics
Evaluation of Different Cloud Microphysics Schemes on the Meteorological Condition Prediction of Aircraft Icing
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Abstract:
Flight safety is at risk due to complex icing meteorological conditions， highlighting the need for accurate prediction models that integrate geographical features. The mesoscale weather research and forecasting （WRF） model is utilized to simulate two icing events on Mt. Washington in the United States with four cloud microphysics configurations. Results indicate that the predicted liquid water content （LWC） and temperature are well matching results in the existing literature， and the Morrison configuration provides the most significant performance in the error analysis. Additionally， the sensitivity of horizontal resolution and cloud microphysics scheme for LWC and the mean effective diameter of cloud droplet （MVD） prediction is discussed， with higher horizontal resolution demonstrating greater accurate performance due to terrain-induced vertical motions. The study concludes with an analysis of icing intensity using the IC index， showing pronounced spatiotemporal variability and sensitivity to cloud microphysics schemes. Overall， this work enhances our understanding of cloud microphysics schemes and provides a base for selecting appropriate cloud microphysical solutions for icing weather prediction.
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Project Supported:
This work was supported by the National Key Project of China （No.GJXM92579）， the Aeronautic Science Foundation of China （No.2018ZA53014），and the Shenyang Key Laboratory of Aircraft Icing and Ice Protection.
Clc Number:
V211.3
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