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题名: Ensemble Optimization Retrieval Algorithm of Hydrometeor Profiles for the Ice Cloud Imager Submillimeter-Wave Radiometer
作者: Liu, Yuli; Buehler, S. A.; Brath, M.; Liu, Heguang; Dong, Xiaolong
作者部门: 微波遥感部
通讯作者: Liu, YL (reprint author), Chinese Acad Sci, Natl Space Sci Ctr, CAS Key Lab Microwave Remote Sensing, Beijing, Peoples R China. ; Liu, YL (reprint author), Univ Chinese Acad Sci, Beijing, Peoples R China. ; Liu, YL (reprint author), Univ Hamburg, Meteorol Inst, Hamburg, Germany.
关键词: ensemble optimization algorithm ; hydrometeor profiles retrieval ; submillimeter-wave radiometer
刊名: JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
ISSN号: 2169-897X
出版日期: 2018
卷号: 123, 期号:9, 页码:4594-4612
收录类别: SCI
项目资助者: European Space Agency ESA [4000119850/17/NL/LvH] ; CAST [2015QNRC001] ; Cluster of Excellence CliSAP, Universitat Hamburg [328 (EXC177)] ; German Science Foundation (DFG) ; DFG Project [BU 2253/3-1]
英文摘要: In this paper, we propose an ensemble optimization algorithm to retrieve the hydrometeor profiles for the upcoming Ice Cloud Imager submillimeter-wave radiometer. The algorithm combines the database approach with local optimization under a framework of Bayesian Monte Carlo methodology. It first builds a retrieval database with atmospheric parameters obtained from prior information, and then it conducts ensemble optimization to minimize the cost function when too few database cases match the observations. The ensemble approach does not use the gradient information. Instead, it learns what the optimum's posterior distribution looks like, and then tries to estimate this distribution directly. The algorithm represents the unknown continuous posterior distribution with an ensemble of discrete cases, and it iteratively decreases the estimate uncertainties by generating a new ensemble from the learned distribution. Once the termination criterion is met, retrieval results and uncertainties are derived by integration over the final ensemble. We conduct retrieval experiments using simulated noisy brightness temperatures. Retrieved profiles are compared to the true values, and the results are statistically analyzed. The ensemble optimization algorithm is demonstrated to be an effective objective value minimization technique that avoids the complexity of gradient radiative transfer calculations. The algorithm also shows a satisfactory water content profile retrieval performance for frozen hydrometeors.
语种: 英语
内容类型: 期刊论文
URI标识: http://ir.nssc.ac.cn/handle/122/6330
Appears in Collections:微波遥感部_期刊论文

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