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联合CloudSat-CALIPSO-MODIS进行云相态检测的新方法

许丹丹 麻金继 魏轶男 宫明艳 李正强

大气与环境光学学报2018,Vol.13Issue(6):462-473,12.
大气与环境光学学报2018,Vol.13Issue(6):462-473,12.DOI:10.3969/j.issn.1673-6141.2018.06.007

联合CloudSat-CALIPSO-MODIS进行云相态检测的新方法

New Method for Cloud Phase Retrieval With Combined CloudSat-CALIPSO-MODIS Observations

许丹丹 1麻金继 2魏轶男 1宫明艳 2李正强1

作者信息

  • 1. 安徽师范大学国土资源与旅游学院,安徽芜湖 241000
  • 2. 安徽省资源环境与地理信息系统工程技术研究中心,安徽芜湖 241000
  • 折叠

摘要

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.

关键词

CloudSat/CALIPSO/MODIS/云相态识别

Key words

CloudSat/CALIPSO/MODIS/cloud phase discrimination

分类

信息技术与安全科学

引用本文复制引用

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[J].大气与环境光学学报,2018,13(6):462-473,12.

基金项目

Supported by National Natural Science Foundation of China(国家自然科学基金,41271377,41671352) (国家自然科学基金,41271377,41671352)

大气与环境光学学报

OACSCD

1673-6141

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