Ensemble Optimization Retrieval Algorithm of Hydrometeor Profiles for the Ice Cloud Imager Submillimeter-Wave Radiometer

	Ensemble Optimization Retrieval Algorithm of Hydrometeor Profiles for the Ice Cloud Imager Submillimeter-Wave Radiometer
	Liu, Yuli; Buehler, S. A.; Brath, M.; Liu, Heguang; Dong, Xiaolong; 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.
刊名	JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
	2018
卷号	123 期号:9 页码:4594-4612
关键词	Ensemble Optimization Algorithm Hydrometeor Profiles Retrieval Submillimeter-wave Radiometer
ISSN号	2169-897X
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
资助机构	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]
内容类型	期刊论文
源URL	[http://ir.nssc.ac.cn/handle/122/6330]
专题	国家空间科学中心_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.
推荐引用方式 GB/T 7714	Liu, Yuli,Buehler, S. A.,Brath, M.,et al. Ensemble Optimization Retrieval Algorithm of Hydrometeor Profiles for the Ice Cloud Imager Submillimeter-Wave Radiometer[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2018,123(9):4594-4612.
APA	Liu, Yuli.,Buehler, S. A..,Brath, M..,Liu, Heguang.,Dong, Xiaolong.,...&Liu, YL .(2018).Ensemble Optimization Retrieval Algorithm of Hydrometeor Profiles for the Ice Cloud Imager Submillimeter-Wave Radiometer.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,123(9),4594-4612.
MLA	Liu, Yuli,et al."Ensemble Optimization Retrieval Algorithm of Hydrometeor Profiles for the Ice Cloud Imager Submillimeter-Wave Radiometer".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 123.9(2018):4594-4612.