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

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