干旱气象 ›› 2020, Vol. 38 ›› Issue (4): 612-618.

• 论文 • 上一篇    下一篇

基于Aqua/CERES数据的辽宁省云宏微观特征及其与降水的相关性研究

 孙丽1,2,张晋广1,杨磊3,赵姝慧1#br# 孙丽1,2,张晋广1,杨磊3,赵姝慧1#br#   

  1. (1.辽宁省人工影响天气办公室,辽宁沈阳110166;2.中国气象局沈阳大气环境研究所,
    辽宁沈阳110166;3.辽宁省气象灾害监测预警中心,辽宁沈阳110166)

  • 出版日期:2020-08-31 发布日期:2020-09-04
  • 通讯作者: 张晋广(1963—),男,高级工程师,主要从事人工影响天气相关研究. E-mail: lnzjg@126.com。
  • 作者简介:孙丽(1987— ),女,博士研究生,高级工程师,主要从事气溶胶及人工影响天气相关研究. E-mail: sunli_2006_abc@126.com。
  • 基金资助:
    国家自然科学基金青年基金(41705127)、辽宁省自然科学基金计划重点项目(20180540086、2019 JH2/10200019)和辽宁省气象局科研项目(LNGJ201905、201611)共同资助

Micro- and Macro-Features of Cloud in Liaoning Province and Its Correlation with Precipitation Based on  Aqua/CERES Data 

SUN Li1,2, ZHANG Jinguang1, YANG Lei3, ZHAO Shuhui1   

  1. (1. Liaoning Weather Modification Office, Shenyang 110166,China;
    2. Institute of Atmospheric Environment, CMA, Shenyang 110166, China;
    3. Liaoning Meteorological Disaster Monitoring and Early Warning Center, Shenyang 110166, China)

  • Online:2020-08-31 Published:2020-09-04

摘要: 利用2014—2015年的云和地球辐射能量系统CERES Aqua Edition 4A SSF的云产品以及地面小时降水数据,对辽宁地区(38.5°N—43.5°N、118.5°E—126°E)云宏微观特征参量的时空分布进行分析,并研究各参数与降水的相关性,建立基于云光学厚度(COD)与云水路径(CWP)的降水云识别指标。结果表明,夏季云层发展旺盛,云量(CF)、COD、云顶高度(CTH)以及CWP值均较高,平均值分别为62.7%、17.9、6.5 km和252.1 g·m-2,而冬季云参数的值最低,分别为48.3%、7.0、3.4 km和106.2 g·m-2,仅云粒子有效半径(ER)显著高于其他季节。受地形影响,西部地区(122°E以西)的成云条件较东部差,除CTH较高外,其他云参量均较东部偏低。除云顶气压(CTP)和云顶温度(CTT)外,CF、COD、CWP和ER均随降水强度的增加而增加,说明云层越深厚降水强度越大,云含水量越高,粒子尺度越大。筛选出的与降水强度相关性最高的COD与CWP作为降水云识别因子,利用TS评分及HSS评分方法,选取评分值最高时对应的COD和CWP作为降水云的识别阈值,分别为35和415 g·m-2。

关键词: 关键词:云参数, 降水云识别, CERES

Abstract: Abstract: Based on the cloud product of CERES (clouds and earth’s radiant energy system) Aqua Edition 4A SSF (single scanner footprint) data and hourly precipitation observation data, the spatial and temporal distribution characteristics of micro- and macro-scopic cloud parameters in Liaoning Province (38.5°N-43.5°N, 118.5°E-126°E) were analyzed. In addition, the correlation between cloud parameters and rainfall intensities was studied and the precipitation identification indexes based on COD (cloud optical depth) and CWP ( cloud water path ) were established. The results show that cloud developed more vigorous in summer, and the average of CF (cloud fraction), COD, CTH (cloud top height) and CWP reached as high as 62.7%, 17.9, 6.5 km and 252.1 g·m-2, respectively, but in winter they were 48.3%, 7.0, 3.4 km and 106.2 g·m-2, respectively. Only ER ( the effective radius ) of cloud particles reached the maximum in winter. Due to the influence of terrain, the generation condition of cloud in the east (east of 122°E ) of Liaoning was better than that in the west (west of 122°E). Except the CTH was higher in the western part of Liaoning Province, all the other cloud parameters were lower than that in the eastern part. The CF, COD, CWP and ER of particles all increased with rainfall intensities, while CTP ( cloud top pressure) and CTT ( cloud top temperature) showed opposite trend, indicating that the stronger the precipitation was, the thicker cloud layer was, the higher water content was and the larger particle size was. COD and CWP were selected as the precipitating cloud identification factors for its higher correlation coefficients with precipitation intensities. Based on the score of TS (threat score) and HSS (Heidke skill score), 35 and 415 g·m-2 for COD and CWP was selected, corresponding to the maximum TS and HSS scores.



Key words: Key words: cloud parameters, precipitating cloud identification, CERES

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