基于CALIPSO卫星数据的吕宋海峡云时空特征统计分析
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于斌,男,硕士,讲师,主要从事气象水文观测方面的研究,15953385968@163.com

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P426.5

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海军重点院校建设项目(202036)


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Statistical analysis on spatial and temporal characteristics of clouds in the Luzon Strait based on CALIPSO data
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    摘要:

    基于2006年6月—2021年10月期间CALIPSO星载激光雷达观测数据,对吕宋海峡低云和深对流等影响飞行的云时空分布特征进行统计学分析。结果表明,在南海季风、太阳辐射和季风槽的共同影响下:(1)低云覆盖率在8月左右最小,为2.9% ,在1月左右最大,为67.4%;低云平均云底高在7月左右最低,为756.1 m,在1月左右最高,为1 259.4 m;低云平均厚度在7月最小,为714.1 m,在12月最大,为1 039.4 m。(2)深对流发生概率在10月左右最小,为1.9%,12月最大,为18.7%;深对流顶高在10月最大,平均顶高为16 056.2 m,在4月最小,平均顶高为14 164.0 m。

    Abstract:

    Based on the observation data of CALIPSO spaceborne lidar from June 2006 to October 2021, the spatio-temporal distribution characteristics of clouds affecting flight such as low clouds and deep convection in the Luzon Strait are statistically studied. Under the combined influence of monsoon, solar radiation change, and monsoon trough in the South China Sea, it is concluded as follows. (1) The low cloud coverage is the smallest (2.9%) around August and the largest (67.4%) around January; the average cloud base height of low clouds is the lowest (756.1 m) around July and the highest (1 259.4 m) around January; the average thickness of low clouds reaches its minimum (714.1 m) in July and maximum (1 039.4 m) in December. (2) The probability of deep convection is the smallest (1.9%) around October and the largest (18.7%) in December; the highest top height of deep convection is in October with the average value being 16 056.2 m, and the lowest is in April with the average value being 14 164.0 m.

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于斌,孙媛媛,张守业,苏峰,李鹏.基于CALIPSO卫星数据的吕宋海峡云时空特征统计分析[J].海洋气象学报,2023,43(1):101-106.

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  • 在线发布日期: 2023-03-11
  • 出版日期: 2022-02-28
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