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DOI | 10.1002/2017JD027892 |
Ensemble Optimization Retrieval Algorithm of Hydrometeor Profiles for the Ice Cloud Imager Submillimeter-Wave Radiometer | |
Liu, Yuli1,2,3; Buehler, S. A.3; Brath, M.3; Liu, Heguang1; Dong, Xiaolong1,2 | |
2018-05-16 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
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ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2018 |
卷号 | 123期号:9页码:4594-4612 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; Germany |
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. |
英文关键词 | ensemble optimization algorithm hydrometeor profiles retrieval submillimeter-wave radiometer |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000434132400012 |
WOS关键词 | RADIATIVE-TRANSFER ; CIRRUS CLOUDS ; SIMULATIONS ; MODEL ; PERFORMANCE ; INSTRUMENT ; MISSION ; SIZE |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/33771 |
专题 | 气候变化 |
作者单位 | 1.Chinese Acad Sci, Natl Space Sci Ctr, CAS Key Lab Microwave Remote Sensing, Beijing, Peoples R China; 2.Univ Chinese Acad Sci, Beijing, Peoples R China; 3.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.(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. |
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