FR1.M2.4

ADVANCING EROSION PREDICTIVE CAPABILITIES THROUGH DEEP LEARNING IN SOUTHEAST AUSTRALIA

Qinggaozi Zhu, Xihua Yang, NSW Department of Climate Change, Energy, the Environment and Water, Australia
Session:
FR1.M2: Hydrological Processes: The Role of AI in Unveiling Climate Change Patterns Oral
Track:
Community-Contributed Sessions
Location:
Mezzanine: Room M2
Presentation Time:
Friday, 8 August, 08:45 - 09:00
Session Chair:
Kasra Rafiezadeh Shahi, Potsdam Institute for Climate Impact Research (PIK)
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Session FR1.M2
FR1.M2.1: GRIT: GRAPH TRANSFORMER FOR INTERNAL ICE LAYER THICKNESS PREDICTION
Zesheng Liu, Maryam Rahnemoonfar, Lehigh University, United States
FR1.M2.2: RESPONSE OF TERRESTRIAL WATER STORAGE AND ITS CHANGE TO CLIMATE FACTORS OVER GLOBAL BASED ON INTERPRETABLE DEEP LEARNING
Zhaozhao Zeng, China University of Geosciences, Wuhan, China; Haonan Chen, Colorado State University, United States; Antonio Plaza, University of Extremadura, Spain; Lizhe Wang, Jun Li, China University of Geosciences, Wuhan, China
FR1.M2.3: DETERMINING SPATIAL DISTRIBUTION OF DISASTER INTENSITIES FROM NEWS ARTICLE USING LLM
Aniket Zope, Ushasi Chaudhuri, Shailesh Deshpande, Tata Consultancy Services, India
FR1.M2.4: ADVANCING EROSION PREDICTIVE CAPABILITIES THROUGH DEEP LEARNING IN SOUTHEAST AUSTRALIA
Qinggaozi Zhu, Xihua Yang, NSW Department of Climate Change, Energy, the Environment and Water, Australia
FR1.M2.5: PARAMETERIZING OCEAN VERTICAL MIXING FROM SURFACE DATA WITH KOLMOGOROV-ARNOLD NETWORKS
Feng Ye, Nanjing University, China; Zengzhou Hao, Haiqing Huang, Second Institute of Oceanography, Ministry of Natural Resources, China; Dengfeng Li, Nanjing University, China; Xin Li, Zhejiang Ocean University, China; Delu Pan, Second Institute of Oceanography, Ministry of Natural Resources, China
Resources
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