飛機積冰氣象條件研究進展
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國家重點研究發展計劃項目(2018YFC1507901、2016YFA0601702)資助


Advances in Researches on Meteorological Conditions Related to Aircraft Icing
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    摘要:

    飛機積冰的直接影響氣象因子包括大氣溫度、云中過冷水含量、過冷水滴大小。飛機積冰氣象條件的研究對于飛行安全保障、飛機適航驗證、人工影響天氣等方面具有重要意義。近年來在飛機積冰氣象條件研究方面取得了很大進展,文章對飛機積冰氣象條件的外場觀測、天氣系統、監測識別、預報方法、氣候分布等方面進展進行了簡要綜述,并對有關問題進行了討論。飛機探測結果表明,過冷水時空分布具有明顯不均勻性,國外以大量飛機積冰觀測試驗為基礎統計分析了積冰環境,并制定了用于飛機積冰適航驗證的一系列標準。產生飛機積冰的主要天氣系統是鋒面、高空槽線和切變線,凍雨往往產生強積冰。綜合多源遙感數據各自的優勢信息,建立飛機積冰區域識別技術是主要趨勢。具有對云水顯式預報能力的中尺度模式為預報飛機積冰提供了更好的工具。同時將多種監測數據、模式數據相融合的實時積冰潛勢系統是新的發展方向。

    Abstract:

    The meteorological factors directly affecting aircraft icing are air temperature, supercooled water content and the size of supercooled water droplets. The researches on the meteorological factors of aircraft icing are of great significance for flight safety assurance, aircraft airworthiness verification, weather modification and so on. In recent years, remarkable advances in the researches on this topic have been reported. A briefly comprehensive review for the advances in the researches on aircraft icing conditions is presented, which includes airborne observations, weather systems, satellite retrievals, forecast, and climate characteristics, as well as some related issues. The results of aircraft detection show that the temporal and spatial distribution of supercooled water is obviously uneven. On the basis of a large number of aircraft icing observation tests abroad, the icing environment is statistically analyzed, and a series of standards for aircraft icing airworthiness verification are formulated. The main weather systems that produce aircraft icing include the fronts, high troughs, and shear lines, and freezing rain often produces strong icing. It is the main trend to develop aircraft icing area recognition technology by integrating the advantages of multisource remote sensing data. The mesoscale model with the ability to predict cloud water explicitly provides a better tool for predicting aircraft icing. At the same time, the realtime ice potential system which integrates multiple monitoring data and model data is a new development direction.

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孫晶,李想.飛機積冰氣象條件研究進展[J].氣象科技,2020,48(4):561~569

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歷史
  • 收稿日期:2019-08-14
  • 定稿日期:2020-04-21
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  • 在線發布日期: 2020-08-21
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