Meng, J., Potsdam Institute for Climate Impact Research, Potsdam, 14412, Germany; Fan, J., Potsdam Institute for Climate Impact Research, Potsdam, 14412, Germany, School of Systems Science, Beijing Normal University, Beijing, 100875, China; Ludescher, J., Potsdam Institute for Climate Impact Research, Potsdam, 14412, Germany; Agarwal, A., Potsdam Institute for Climate Impact Research, Potsdam, 14412, Germany, Department of Hydrology, Indian Institute of Technology Roorkee, Roorkee, 247667, India, Hydrology, GFZ German Research Centre for Geosciences, Potsdam, 14473, Germany; Chen, X., School of Systems Science, Beijing Normal University, Beijing, 100875, China; Bunde, A., Institut für Theoretische Physik, Justus-Liebig-Universität Giessen, Giessen, 35392, Germany; Kurths, J., Potsdam Institute for Climate Impact Research, Potsdam, 14412, Germany, Department of Physics, Humboldt University, Berlin, 10099, Germany; Schellnhuber, H.J., Potsdam Institute for Climate Impact Research, Potsdam, 14412, Germany
Recommended Citation:
Meng J.,Fan J.,Ludescher J.,et al. Complexity-based approach for El Niño magnitude forecasting before the spring predictability barrier[J]. Proceedings of the National Academy of Sciences of the United States of America,2020-01-01,117(1)