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气象:2017,43(10):1224-1231
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基于云类型匹配和距离误差权重的单层云云底高度估计
梁垚1,孙学金1,李浩然1,周永波1,张日伟2,李绍辉1
(1 国防科技大学气象海洋学院,南京 211101 2 宇航动力学国家重点实验室,西安 710043)
Single Layer Cloud Base Height Estimation Based on ISCCP Cloud Type Classification and Weighted Distance
LIANG Yao1,SUN Xuejin1,LI Haoran1,ZHOU Yongbo1,ZHANG Riwei2,LI Shaohui1
(1 College of Meteorology and Oceanography, National University of Defense Technology, Nanjing 211101 2 State Key Laboratory of Aerospace Dynamics, Xi’an 710043)
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投稿时间:2016-12-26    修订日期:2017-07-27
中文摘要: 云底高度(cloud base height,CBH)的观测对地 气系统的辐射模拟和保障飞行安全有重要意义。本文结合CloudSat/CPR、CALIPSO/CALIOP和Aqua/MODIS的主被动观测资料,建立了基于云类型和距离的CBH估计算法。本文云分类方法采取国际卫星云气候计划(International Satellite Cloud Climatology Project,ISCCP)的云分类法,并利用A Train数据对估计结果进行验证。结果表明,CBH的平均误差小于3 km,而低云CBH的平均误差小于1 km。在0~500 km的估计范围内,CBH估计的绝对误差主要在1 km以内,均方根误差不超过3 km。最后,基于此方法,本文重建了一个锋面云系的三维结构。
Abstract:Observation of cloud base height (CBH) is crucial in modeling earth atmosphere radiation budget and for the aviation safety. CBH is estimated by combining measurements from CloudSat/CALIPSO and MODIS based on the International Satellite Cloud Climatology Project (ISCCP) cloud type classification and a weighted distance algorithm. The proposed method is validated by A Train data. The result indicates that the mean error of CBH is always less than 3 km, while the average error of CBH of low clouds is smaller than 1 km. The difference between the real and estimated CBHs is mainly within 1 km when distance ranges from 0 km to 500 km, and the root mean square error is smaller than 3 km. Application to the 3D cloud structure of a frontal cloud is also demonstrated.
文章编号:     中图分类号:P413    文献标志码:
基金项目:国家自然科学基金项目(41575020)资助
引用文本:
梁垚,孙学金,李浩然,周永波,张日伟,李绍辉,2017.基于云类型匹配和距离误差权重的单层云云底高度估计[J].气象,43(10):1224-1231.
LIANG Yao,SUN Xuejin,LI Haoran,ZHOU Yongbo,ZHANG Riwei,LI Shaohui,2017.Single Layer Cloud Base Height Estimation Based on ISCCP Cloud Type Classification and Weighted Distance[J].Meteor Mon,43(10):1224-1231.