2005年12月12日 · A subgroup was organized to focus on MJO operational prediction and was tasked to develop a MJO forecast metric for comparison of dynamical models from operational global prediction systems. The decision was made for NCEP / CPC to host the application, display, and evaluation of these MJO model forecasts.

2005年12月12日 · A subgroup was organized to focus on MJO operational prediction and was tasked to develop a MJO forecast metric for comparison of dynamical models from operational global prediction systems. The activity is housed at CPC where the application, display, and evaluation of these MJO model forecasts is being done.

2018年12月1日 · The Madden–Julian oscillation (MJO), an organized envelope of tropical convection, is recognized as one of the leading sources of subseasonal predictability. This review synthesizes the latest progress regarding the MJO predictability and prediction.

The All-season Real-time Multivariate (RMM) MJO Index (Wheeler-Hendon) from the The Centre for Australian Weather and Climate Research. Bimodal ISO Index for historical data analysis and real time monitoring from the International Pacific Research Center.

2005年6月30日 · The Madden-Julian Oscillation (MJO) is the dominant component of the intraseasonal (30–90 days) variability in the tropical atmosphere. It consists of large-scale coupled patterns in atmospheric circ...

The Madden–Julian oscillation (MJO) is the largest element of the intraseasonal (30- to 90-day) variability in the tropical atmosphere.

马登－朱利安振荡（Madden Julian Oscillation, MJO）为热带赤道地区的显著对流与显著无对流的区块，在北半球冬季主要以周期约30-90天的速度向东前进的现象，是大气振荡的一种。

2015年6月2日 · 摘要: 热带大气季节内振荡 (Madden-Julian oscillation，MJO) 是次季节-季节时间尺度气候变率的支配模态。 它不仅对低纬度地区天气气候产生重要影响，还能够通过经向传播和激发大气遥相关波列对中高纬度地区产生影响，是延伸期尺度最重要的可预报性来源。 因此，MJO预报是次季节-季节气候预测中极为重要的部分，近年来受到国际学术界广泛关注。 该文回顾了MJO预报发展历史，概述了当前国际上主要科研业务机构的MJO预报发展现状。 目前基于统 …

2010年3月1日 · Existing numerical models produce large error in simulating the Madden–Julian oscillation (MJO), thereby underestimating its predictability. In this paper, the predictability limit of the MJO is determined by the nonlinear local Lyapunov exponent approach, which provides an estimate of atmospheric predictability based on the observational data.

The MJO was first described in 1971 but a field project held over the west equatorial Pacific during 1992-93 raised awareness of the MJO as a coherent phenomenon, possibly useful for weekly predictions of tropical precipitation and extratropical weather patterns.