Prediction of rainfall anomalies during the dry to wet transition season over the Southern Amazonia using machine learning tools
Xu Shan, Tsinghua University, State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Beijing, China; University of California, Los Angeles, Department of Atmospheric and Oceanic Sciences, Los Angeles, CA, United States, Kai Zhang, University of Texas at Austin, Jackson School of Geosciences, Austin, TX, United States, Yizhou Zhuang, Hong Kong Baptist University, Geography, Kowloon, Hong Kong; Hong Kong Baptist University, Geography, Hong Kong, Hong Kong, Rong Fu, University of California, Los Angeles, Atmospheric and Oceanic Sciences, Los Angeles, United States; University of California, Los Angeles, Joint Institute for Regional Earth System Science and Engineering, Los Angeles, United States and Yang Hong, Tsinghua University, Department of Hydraulic Engineering, Beijing, China; University of Oklahoma, Department of Civil Engineering and Environmental Science, Norman, OK, United States