Journal of Arid Meteorology ›› 2022, Vol. 40 ›› Issue (4): 567-576.DOI: 10.11755/j.issn.1006-7639(2022)-04-0567

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Characteristicsof cloud macroscopic parameters in the hinterland of Taklimakan Desert in arid region of Northwest China in August and September 2019

LI Zhengpeng1,3(), BI Jianrong1,2,3(), ZUO Dapeng1,3, ZHANG Linhan1,3, YANG Fan1,4,5   

  1. 1. Key Laboratory for Semi-Arid Climate Change of the Ministry of Education/ College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
    2. Collaborative Innovation Center for Western Ecological Safety, Lanzhou University, Lanzhou 730000, China
    3. Gansu Provincial Field Scientific Observation and Research Station of Semi-arid Climate and Environment, Lanzhou 730000, China
    4. Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China
    5. Taklimakan Desert Atmosphere and Environment Field Experiment Station, Tazhong 841000, Xinjiang, China
  • Received:2021-10-01 Revised:2021-12-24 Online:2022-08-31 Published:2022-09-21
  • Contact: BI Jianrong

2019年8和9月西北干旱区塔克拉玛干沙漠腹地云的宏观参量特征

李正鹏1,3(), 闭建荣1,2,3(), 左大鹏1,3, 张琳焓1,3, 杨帆1,4,5   

  1. 1. 兰州大学大气科学学院/半干旱气候变化教育部重点实验室,甘肃 兰州 730000
    2. 西部生态安全省部共建协同创新中心,甘肃 兰州 730000
    3. 甘肃省半干旱气候与环境野外科学观测研究站,甘肃 兰州 730000
    4. 中国气象局乌鲁木齐沙漠气象研究所,新疆 乌鲁木齐 830002
    5. 塔克拉玛干沙漠大气环境观测试验站,新疆 塔中 841000
  • 通讯作者: 闭建荣
  • 作者简介:李正鹏(1997-),男,硕士生,主要从事沙尘与云特性反演研究. E-mail: lizhp20@lzu.edu.cn
  • 基金资助:
    国家自然科学基金(42075126);甘肃省野外科学观测研究站建设项目(18JR2RA013);甘肃省科技重大专项项目(18ZD2FA009);兰州大学中央高校基本科研业务费专项(lzujbky-2021-kb02);兰州大学中央高校基本科研业务费专项(lzujbky-2021-sp04)

Abstract:

Cloud is a key modulator of the energy budget in earth-atmosphere system. The macro- and micro-physical parameters of cloud have an important influence on precipitation intensity and distributions in arid region. In order to clarify the macroscopic characteristics of cloud in the hinterland of Taklimakan Desert (TD), the structures of cloud layers were continuously detected at Tazhong station from July 23 to September 30 in 2019 by using the CHM15K ceilometer. The variation characteristics of cloud base height, cloud layer thickness, and total cloud coverage were analyzed over Tazhong station in August and September 2019. The results show that the ceilometer could clearly observe the distributions of cloud layer and rainfall processes over TD. The average cloud base height at Tazhong station was about 4.6 km in August and September 2019.The high and middle level clouds predominated at Tazhong station. And the sum of proportions of high and middle level clouds exceeded 90% in August and September, and the proportion of single-layer cloud was significantly higher than that of multi-layer cloud. The cloud layer thickness at Tazhong station was relatively small, the average thicknesses of the first cloud layer were 402 m and 532 m in August and September, respectively, corresponding cloud layer thickness less than 500 m accounted for 64.2% and 58.8%. This implied that the cloud layers were geometrically thin at Tazhong station in August and September 2019. The results of total cloud coverage indicated that the proportion of all-sky cloud day in August was highest (32.6%), whereas the proportion of cloudless sky in September was highest (40.8%), which suggested that clear-sky days were dominant in September. The results of this study will help to understand the spatial and temporal distributions and evolution features of cloud macroscopic characteristics over the hinterland of TD, which provide invaluable datasets for validation of numerical model simulations and satellite remote sensing products.

Key words: cloud macroscopic characteristics, ceilometer, Taklimakan Desert

摘要:

云是地球-大气系统能量收支的关键调节器,云的宏观和微观物理参数对干旱区降水强度和分布有重要影响。为了阐明塔克拉玛干沙漠腹地云的宏观特性,利用CHM15K型云高仪对塔中站2019年7月23日至9月30日云层结构进行连续探测,分析2019年8、9月塔中站上空云底高度、云层厚度和总覆盖率的变化特征。结果表明,云高仪能够清晰地观测沙漠上空云分布和降雨过程,云层的平均云底高度为4.6 km,以高云和中云为主,8、9月高云、中云占比之和均超过90%,单层云占比大于多层云;云层厚度相对较薄,8、9月第一层云的平均厚度分别为402、532 m,厚度小于500 m的云层占比分别为64.2%和58.8%,表明塔中以薄云为主;8月全天空云占比最大,为32.6%,而9月的全天空无云占比最大,为40.8%。此次观测结果有助于了解塔克拉玛干沙漠腹地云宏观特征的时空分布和演化特征,可为数值模式模拟和卫星遥感产品的验证提供宝贵的数据集。

关键词: 云宏观特性, 云高仪, 塔克拉玛干沙漠

CLC Number: