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  • Presentation | A13K: Advancing AI and Machine Learning for Improved Subseasonal-to-Seasonal (S2S) Forecast Skill I Poster
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  • [ONLINE] A13K-VR8785: Can AI Data-Driven Models Capture the Temporal Clustering of Unique Atmospheric Rivers and the Influence of Climate Modes?
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Author(s):
Zhiqi Yang, University of California San Diego (First Author, Presenting Author)
Michael Deflorio, Scripps Institution of Oceanography, UC San Diego
Agniv Sengupta, Center for Western Weather and Water Extremes (CW3E), Scripps Institution of Oceanography, UC San Diego
Bin Guan, University of California, Los Angeles
Zhenhai Zhang, Scripps Institution of Oceanography, UCSD
Kristen Guirguis, University of California San Diego
Alexander Gershunov, Scripps Institution of Oceanography, University of California San Diego
Luca Delle Monache, Center for Western Weather and Water Extremes (CW3E), Scripps Institution of Oceanography, UC San Diego

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