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- W3110423852 abstract "The modeling of atmospheric clouds is one of the crucial elements in the natural phenomena visualization system. Over the years, a wide range of approaches has been proposed on this topic to deal with the challenging issues associated with visual realism and performance. However, the lack of recent review papers on the atmospheric cloud modeling methods available in computer graphics makes it difficult for researchers and practitioners to understand and choose the well-suited solutions for developing the atmospheric cloud visualization system. Hence, we conducted a comprehensive review to identify, analyze, classify, and summarize the existing atmospheric cloud modeling solutions. We selected 113 research studies from recognizable data sources and analyzed the research trends on this topic. We defined a taxonomy by categorizing the atmospheric cloud modeling methods based on the methods' similar characteristics and summarized each of the particular methods. Finally, we underlined several research issues and directions for potential future work. The review results provide an overview and general picture of the atmospheric cloud modeling methods that would be beneficial for researchers and practitioners." @default.
- W3110423852 created "2020-12-07" @default.
- W3110423852 creator A5019546796 @default.
- W3110423852 creator A5038055291 @default.
- W3110423852 date "2022-06-01" @default.
- W3110423852 modified "2023-10-18" @default.
- W3110423852 title "Atmospheric cloud modeling methods in computer graphics: A review, trends, taxonomy, and future directions" @default.
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- W3110423852 cites W1986188964 @default.
- W3110423852 cites W1988069186 @default.
- W3110423852 cites W1988775667 @default.
- W3110423852 cites W1991333827 @default.
- W3110423852 cites W1995465507 @default.
- W3110423852 cites W1997223161 @default.
- W3110423852 cites W1997365187 @default.
- W3110423852 cites W2000322307 @default.
- W3110423852 cites W2002010522 @default.
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- W3110423852 cites W2010777301 @default.
- W3110423852 cites W2012460978 @default.
- W3110423852 cites W2020038667 @default.
- W3110423852 cites W2023417691 @default.
- W3110423852 cites W2030792156 @default.
- W3110423852 cites W2031369959 @default.
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- W3110423852 doi "https://doi.org/10.1016/j.jksuci.2020.11.030" @default.
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