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Journal ArticleDOI

Madden-Julian Oscillation prediction and teleconnections in the S2S database

TLDR
In this paper, the Madden Julian Oscillation (MJO) has been diagnosed in the World Weather Research Program (WWRP)/WCRP Sub-seasonal-to-Seasonal prediction project (S2S) database using the Wheeler and Hendon index over the common hindcast period 1999-2010.
Abstract
The Madden Julian Oscillation (MJO) has been diagnosed in the World Weather Research Program (WWRP)/World Climate Research Program (WCRP) Sub-seasonal-to-Seasonal prediction project (S2S) database using the Wheeler and Hendon index (Wheeler and Hendon 2004) over the common hindcast period 1999–2010 The S2S models display skill to predict the MJO between 2 and 4 weeks The majority of S2S models tend to produce a weaker MJO than in ERA Interim, with a phase speed decreasing with lead time All the S2S models produce realistic patterns of MJO teleconnections at 500 hPa, with an increased probability of positive North Atlantic Oscillation (NAO) following an active MJO over the Indian ocean and of negative NAO following an active MJO over the west Pacific However, the amplitude of the MJO teleconnection patterns are significantly weaker than in ERA Interim over the Euro Atlantic sector and are often too strong over the western North Pacific Models with lower horizontal resolution tend to produce weaker teleconnections In the lower stratosphere, several S2S models produce teleconnections which are too strong compared to ERA Interim These results suggest that although the S2S models display significant skill in predicting the MJO propagation beyond two weeks, all the S2S models do not fully exploit the predictability associated to the MJO in the Northern Extratropics, particularly over Europe

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Citations
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Journal ArticleDOI

Easterly wave contributions to seasonal rainfall over the tropical Americas in observations and a regional climate model

TL;DR: In this article, the authors explored the contribution of Easterly waves to the seasonal precipitation over the tropical Americas using rain gauge stations, reanalysis data and a regional model ensemble during the 1980-2013 period.
Journal ArticleDOI

Deep learning for bias correction of MJO prediction

TL;DR: In this article, the Madden-Julian Oscillation (MJO) is used as a primary source of global subseasonal (i.e., targeting three to four weeks) predictability.
Book ChapterDOI

The Madden-Julian Oscillation

TL;DR: The Madden-Julian Oscillation (MJO) is the dominant mode of intraseasonal variability in the tropical climate system and as such, a major source of predictability on sub-seasonal timescales as discussed by the authors.
References
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Journal ArticleDOI

An All-Season Real-Time Multivariate MJO Index: Development of an Index for Monitoring and Prediction

TL;DR: A seasonally independent index for monitoring the Madden-Julian oscillation (MJO) is described in this paper, which is based on a pair of empirical orthogonal functions (EOFs) of the combined fields of near-equatorially averaged 850-hPa zonal wind, 200-hpa zonal winds, and satellite-observed outgoing longwave radiation (OLR) data.
Journal ArticleDOI

Intraseasonal interaction between the Madden–Julian Oscillation and the North Atlantic Oscillation

TL;DR: Evidence is presented that the main climate intra-seasonal oscillation in the tropics—the Madden–Julian Oscillation—controls part of the distribution and sequences of the four daily weather regimes defined over the North Atlantic–European region in winter.
Journal ArticleDOI

The Subseasonal to Seasonal (S2S) Prediction Project Database

TL;DR: The Subseasonal to Seasonal (S2S) Prediction research project has been established by the World Weather Research Programme/World Climate Research Programme as discussed by the authors, which is the main deliverable of this project is the establishment of an extensive database containing sub-seasonal (up to 60 days) forecasts, 3 weeks behind real time, and reforecasts from 11 operational centers, modeled in part on the The Observing System Research and Predictability Experiment (THORPEX) Interactive Grand Global Ensemble (TIGGE) database for medium-range forecasts.
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