干旱气象 ›› 2020, Vol. 38 ›› Issue (2): 213-225.DOI: 10.11755/j.issn.1006-7639(2020)-02-0213

• 论文 • 上一篇    下一篇

基于ISCCP云资料的中国地区不同类型云的时空分布

范思睿1,2,3,王维佳2,4,林丹1,2,3   

  1. 1.四川省人工影响天气办公室,四川 成都 610072;
    2.中国气象局云雾物理环境重点开放实验室,北京 100081;
    3.高原与盆地暴雨旱涝灾害四川省重点实验室,四川 成都 610072;
    4.四川省成都市气象局,四川 成都 611133
  • 出版日期:2020-04-28 发布日期:2020-04-28
  • 作者简介:范思睿(1986— ),工程师,硕士,主要从事大气物理研究. E-mail: fansr110@163.com。
  • 基金资助:
    四川省科技计划项目(2019YJ0621)、中国气象局云雾物理环境重点开放实验室开放课题(2019Z01602)、成都市科技项目(2018-ZM01-00038-SN)、高原与盆地暴雨旱涝灾害四川省重点实验室科技发展基金项目(SCQXKJQN2019025)共同资助

Tempral and Spatial Distribution Characteristics of Clouds with Different Types over China Based on ISCCP Data

FAN Sirui1,2,3, WANG Weijia2,4, LIN Dan1,2,3   

  1. 1. Weather Modification Office of Sichuan Province, Chengdu 610072, China;
    2. Key Laboratory for Cloud Physics of China Meteorological Administration, Beijing 100081, China;
    3. Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province, Chengdu 610072, China;
    4. Chengdu Meteorological Bureau of Sichuan Province, Chengdu 611133, China
  • Online:2020-04-28 Published:2020-04-28

摘要: 利用1994—2009年国际卫星云气候计划ISCCP中D2卫星观测月平均云数据集,从不同区域、不同云类角度出发,详细分析中国地区云量、云水路径、云光学厚度的时空分布特征。结果表明:(1)中国地区大部分水云分布在四川盆地至东南沿海一带,而大部分冰云分布在北方和青藏高原地区,其中卷云覆盖最广、云量最大,其次为卷层云、水高层云、水积云,而冰云中低云云量最小。(2)水云中层积云、雨层云和冰云中深对流云总云量、云水路径和云光学厚度均较大,云水含量丰富,对四川盆地至东南沿海一带降水贡献较大。(3)不同云类的总云量季节变化明显,不同区域表现不一,多数水云尤其是雨层云在北方和高原地区夏多冬少,而在西南和东南地区冬多夏少;冰云季节变化的地域性差异较小,多数区域高积云和高层云冬多夏少,卷层云和深对流云夏多冬少,表明冬季对流减弱使得冰云集聚且向中低层发展,而夏季温度升高、对流增强使得水云集聚并向高层发展。(4)水云中层云和雨层云的云水路径有明显的季节变化,且地域性特征明显,尤其是东南地区,表现为双峰型分布,峰值分别在2月和11月;冰云的云水路径在北方地区夏季达到峰值,而在南方地区冬季达到峰值。

关键词: 云量, 云水路径, 云光学厚度, 冰云, 水云, ISCCP D2云资料

Abstract: Based on the monthly cloud dataset of ISCCP D2 from January 1994 to October 2009, the temporal and spatial distribution characteristics of total cloud amount, cloud water path and cloud optical depth over five regions of China were analyzed in detail. The results are as follows: (1) The most liquid-phase cloud distributed over Sichuan Basin to southeast coast of China, while the most ice-phase cloud distributed over northern China and Tibet Plateau. The coverage of cirrus was the widest, and its cloud amount was the biggest over China, followed by cirrostratus, liquid-phase altostratus, liquid-phase cumulus, and the low cloud with ice-phase was the smallest. (2) The total cloud amount, cloud water path and cloud optical depth of stratocumulus, nimbostratus with liquid-phase and deep convective cloud were bigger, which indicated that the cloud water contents were rich, their contributions were bigger to precipitation over Sichuan Basin to southeast coast. (3) The seasonal variations of total cloud amount with different types were obvious over China, and their performances were different over five regions of China. The total cloud amount of most liquid-phase clouds especially nimbostratus was more in summer and less in winter over northern China and Tibet Plateau, while it was less in summer and more in winter over southwestern China and southeastern China. However, the regional difference of cloud amount with ice-phase was little, and the cloud amount of ice-phase altocumulus and altostratus was more in winter and less in summer over most regions, while that of ice-phase cirrostratus and deep convective cloud was more in summer and less in winter, which indicated that the temperature declining and convection weakenning were benificial to gather of ice-phase clouds and development to medium and low layers in winter, while the temperature increasing and convection strengthening were benificial to gather of liquid-phase clouds and development to high layer in summer. (4) The cloud water path of liquid-phase stratus and nimbostratus had obvious seasonal variations over China, and the regional characteristics were obvious, especially the monthly distribution appearred double peaks pattern over southeastern China, the peaks were in February and November. However, the peak of cloud water path of ice-phase clouds occurred in summer over northern China and winter in southern China.

Key words: cloud amount, cloud water path, cloud optical depth, ice-phase cloud, liquid-phase cloud, ISCCP D2 cloud data

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