Prediction of rainfall anomalies during the dry to wet transition season over the Southern Amazonia using machine learning tools

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    W[2017AGUFM.A24D..06S]
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ADS bibcode
2017AGUFM.A24D..06S
year
2017
Listed Authors
Shan, X.
Zhang, K.
Zhuang, Y.
Fu, R.
Hong, Y.
Listed Institutions
State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing, China Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, Los Angeles, CA, United States
Jackson School of Geosciences, University of Texas at Austin, Austin, TX, United States
Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China; Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, Los Angeles, CA, United States
Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, Los Angeles, CA, United States; Joint Institute for Regional Earth System Science & Engineering (JIFRESSE), University of California, Los Angeles, Los Angeles, CA, United States
Department of Hydraulic Engineering, Tsinghua University, Beijing, China; Department of Civil Engineering and Environmental Science, University of Oklahoma, Norman, OK, United States

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