中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Biased Sampling Approach to Accelerate Backward Monte Carlo Atmospheric Radiative Transfer Simulations and its Application to Arctic Heterogeneous Cloud and Surface Conditions

文献类型:期刊论文

作者Sun B(孙斌)2; Evelyn Jäkel1; Michael Schäfer1; Manfred Wendisch1
刊名Journal of Quantitative Spectroscopy and Radiative Transfer
出版日期2020
语种英语
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/43536]  
专题合肥物质科学研究院_中科院安徽光学精密机械研究所
通讯作者Manfred Wendisch
作者单位1.Leipzig Institute for Meteorology, University of Leipzig
2.Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences
推荐引用方式
GB/T 7714
Sun B,Evelyn Jäkel,Michael Schäfer,et al. A Biased Sampling Approach to Accelerate Backward Monte Carlo Atmospheric Radiative Transfer Simulations and its Application to Arctic Heterogeneous Cloud and Surface Conditions[J]. Journal of Quantitative Spectroscopy and Radiative Transfer,2020.
APA Sun B,Evelyn Jäkel,Michael Schäfer,&Manfred Wendisch.(2020).A Biased Sampling Approach to Accelerate Backward Monte Carlo Atmospheric Radiative Transfer Simulations and its Application to Arctic Heterogeneous Cloud and Surface Conditions.Journal of Quantitative Spectroscopy and Radiative Transfer.
MLA Sun B,et al."A Biased Sampling Approach to Accelerate Backward Monte Carlo Atmospheric Radiative Transfer Simulations and its Application to Arctic Heterogeneous Cloud and Surface Conditions".Journal of Quantitative Spectroscopy and Radiative Transfer (2020).

入库方式: OAI收割

来源:合肥物质科学研究院

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