Interpretable Deep Learning for Probabilistic MJO Prediction: CNN Forecasts

This repository contains data produced for the paper "Interpretable Deep Learning for Probabilistic MJO Prediction" by A. Delaunay and H. M. Christensen (2021).

>> mu_ens_XX.pt
contains the mean forecasts from each ensemble member at a lead time of XX days

>> cov_alea_XX.pt
contains the aleatoric predictions of each ensemble member at a lead time of XX days

本代码仓库收录了A. Delaunay与H. M. Christensen于2021年发表的论文《可解释深度学习用于概率性热带大气季节内振荡（Madden-Julian Oscillation，MJO）预报》所生成的全部数据集。

>> mu_ens_XX.pt
存储了提前XX天预报时效下，各集合成员的平均预报结果。

>> cov_alea_XX.pt
存储了提前XX天预报时效下，各集合成员的偶然不确定性预测结果。