10,000 stochastic prediction RMMs generated by SMP of MJO-Net
收藏NIAID Data Ecosystem2026-05-01 收录
数据链接:
官方服务:
资源简介:
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]
创建时间:
2023-10-07



