青藏高原那曲对流云中过冷水的毫米波雷达反演研究
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作者单位:

1.高原大气与环境四川省重点实验室,大气科学学院,成都信息工程大学,成都 610225;2.灾害天气国家重点实验室,中国气象科学研究院,北京 100081

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基金项目:

国家自然基金项目(91837310), 国家重点研发计划项目(2018YFC1505702), 江苏省气象科学研究所北极阁基金项目(BJG201901), 成都信息工程大学人才引进项目(KYTZ201728)


Retrieval of supercooled water in convective clouds over Nagqu of the Tibetan Plateau using millimeter-wave radar measurements
Author:
Affiliation:

1.Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610225;2.State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100086

Fund Project:

The National Natural Science Foundation of China (91837310), supported by the National Key Research and Development Program of China (2018YFC1505702) , Beijige foundation of Jiangsu Institute of Meteorological Sciences (BJG201901), and Scientific Research Foundation of Chengdu University of Information Technology (KYTZ201728).

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    摘要:

    对流云中过冷水一直是气象探测的难点。本文利用第三次青藏高原大气科学试验的Ka波段毫米波雷达功率谱数据,结合探空资料,提出了高原对流云内过冷水的识别和反演算法;并利用那曲两个个例对算法的效果进行了分析,利用同址微波辐射计资料对雷达结果进行了初步验证;最后,探讨了本文算法与以往方法的差异。结果表明:高原层积云、浓积云和高积云内由上升气流主导,云内粒子相态变化快,过冷水粒子的回波强度、粒径和含水量分布较广,不同云类的过冷水空间分布存在一定差异。过冷水回波强度、粒径和含水量都与上升气流速度呈正相关,随时间变化基本一致,空间分布也有很好的对应。算法得到的过冷水位置和微物理参数与前人研究或观测的结果吻合。微波辐射计和雷达的液态水路径LWP在时间变化趋势和峰值大小等都较为一致,相关系数为0.63–0.79。与以往方法相比,本文算法对过冷水位置和参数反演的结果更为合理。

    Abstract:

    Supercooled water in convective clouds has always been a difficult point in meteorological sounding. In this study, based on Doppler spectra of a Ka-band millimeter-wave radar used in the third Tibetan Plateau Atmospheric Experiment and relevant radiosonde data, an algorithm for identifying and retrieving supercooled water in convective clouds over Nagqu of the Tibetan Plateau was proposed. Subsequently, retrieval effects of the algorithm were analyzed using two convective cases (including stratocumulus, cumulus congestus, and altocumulus clouds), and verified by comparing with measurements from a co-located microwave radiometer (MWR). Finally, the difference of results from the algorithm and other three previous methods were also discussed. The main findings are as follows: The stratocumulus, cumulus congestus, and altocumulus clouds over Nagqu are dominated by updrafts with rapid changes on the hydrometeor phase in the vertical orientation, resulting widely distributions of the formed supercooled particles in terms of both their , and . Supercooled particles in different convective cloud types also locate at different cloud body positions. The velocity of the in-cloud updraft is highly and positively correlated with the supercooled water , and LWC. They possess similar temporal variations and coincident spatial distributions. The retrieved spatial positions and microphysical parameters of the cloud supercooled water are consistent with the conclusions of previous studies and observations. The radar-derived LWP are also proved to agree well with the counterparts of MWR with similar temporal variations and value peaks. Their correlation coefficients can approach 0.63–0.79. Compared with three provious methods, results from the proposed algorim can be more reasonable on the retrieved supercooled water positions and parameters.

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历史
  • 收稿日期:2021-08-30
  • 最后修改日期:2022-03-03
  • 录用日期:2021-10-09
  • 在线发布日期: 2022-02-28
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