DOI: 10.1002/2017JD027892
Scopus记录号: 2-s2.0-85047850144
论文题名: Ensemble Optimization Retrieval Algorithm of Hydrometeor Profiles for the Ice Cloud Imager Submillimeter-Wave Radiometer
作者: Liu Y. ; Buehler S.A. ; Brath M. ; Liu H. ; Dong X.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2018
卷: 123, 期: 9 起始页码: 4594
结束页码: 4612
语种: 英语
英文关键词: ensemble optimization algorithm
; hydrometeor profiles retrieval
; submillimeter-wave radiometer
Scopus关键词: algorithm
; brightness temperature
; detection method
; experimental design
; methodology
; Monte Carlo analysis
; optimization
; radiative transfer
; radiometer
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. ©2018. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/113908
Appears in Collections: 气候减缓与适应
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作者单位: CAS Key Laboratory of Microwave Remote Sensing, National Space Science Center, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; Meteorological Institute, University of Hamburg, Hamburg, Germany
Recommended Citation:
Liu Y.,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,2018-01-01,123(9)