联合CloudSat-CALIPSO-MODIS进行云相态检测的新方法(英文)

摘要/Abstract

摘要： 云与生活息息相关,云参量的定量研究便显得极其重要 ,其中包括云相态的精确判识。由于传统基于单传感器的云相态识别算法都存在一定的局限性,提出了联合CloudSat-CALIPSO-MODIS多传感器进行云相态检测的新方法,提高了云相态的识别精度。利用2008年5月2日和2010年2月1日的CloudSat、CALIPSO、MODIS综合观测数据,获取了6种云相态,包括不确定云,混合云, 水云,过冷水云,冰云和晴空。结果表明协同算法可以更精确地进行云相态识别,并为数值天气预报提供条件,具有重要的科学意义。

关键词: CloudSat, CALIPSO, MODIS;云相态识别

Abstract: Clouds are related to life closely, and research on cloud parameters is important, including the accurate identification of cloud phases. Because the traditional single-sensor-based cloud phase identification algorithm has certain limitations, a new method for cloud phase detection combined with CloudSat-CALIPSO-MODIS multi-sensor is proposed, which improves the accuracy of cloud phase recognition. Using the comprehensive observation data of CloudSat, CALIPSO and MODIS on May 2, 2008 and February 1, 2010, six cloud phases were obtained, including uncertain cloud, hybrid cloud, water cloud, supercooled water cloud, ice cloud and clear skies. The results show that using the synergistic algorithm, the cloud phase can be distinguished more accurately, which provides conditions for numerical weather prediction and has important scientific significance.

Key words: CloudSat, CALIPSO, MODIS, cloud phase discrimination

中图分类号:

TP751

许丹丹,麻金继,魏轶男,宫明艳,李正强. 联合CloudSat-CALIPSO-MODIS进行云相态检测的新方法(英文)[J]. 大气与环境光学学报.

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