10,000 stochastic prediction RMMs generated by SMP of MJO-Net

The numpy array has shape of (710, 10000, 70, 6). It contains information of 710 MJO events. Each MJO event has 70-length 10,000 stochastic MJO RMMs predictions. Assume this numpy array named MJO_Data. To extract the 1,000 46-day MJO stochastic predictoins for 710 MJO events, use: MJO_Pred = MJO_Data[:, :, 10:, 2:4] To extract the paired 46-day ECMWF real-time predictoin for 710 MJO events, use: MJO_ECMWF = MJO_Data[:, :1, 10:, 4:6] To extract the paired 46-day MJO RMMs observation, use: MJO_OB = MJO_Data[:, :1, 10:, :2]

Related Organizations

Hong Kong Polytechnic University
China (People's Republic of)

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