Results 21 to 30 of about 1,728 (177)
Atmosphere‐ocean feedbacks often improve the Madden‐Julian oscillation (MJO) in climate models, but these improvements are balanced by mean state biases that can degrade the MJO through changing the basic state on which the MJO operates.
N. P. Klingaman, C. A. Demott
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This paper explores the Madden−Julian Oscillation (MJO) modulation of tropical cyclone (TC; hereafter, MJO-TC) genesis over the South China Sea (SCS) and Western North Pacific (WNP) under different El Niño-Southern Oscillation (ENSO ...
Chengyao Ye +3 more
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Comparison of Madden-Julian oscillation in three super El Niño events
This paper investigated the characteristics of Madden-Julian Oscillation (MJO) in three super El Niño events (i.e., 1982/83, 1997/98 and 2015/16 El Niño events) based on reanalysis data.
Lifeng Li +5 more
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Improving the prediction of the Madden–Julian Oscillation of the ECMWF model by post-processing [PDF]
The Madden–Julian Oscillation (MJO) is a major source of predictability on the sub-seasonal (10 to 90 d) timescale. An improved forecast of the MJO may have important socioeconomic impacts due to the influence of MJO on both tropical and extratropical ...
R. Silini +6 more
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Influence of Madden–Julian Oscillation on Precipitation over the Tibetan Plateau in Boreal Summer
The influence of the Madden–Julian oscillation (MJO) on precipitation over the Tibetan Plateau (TP) during boreal summer is investigated using observational and reanalysis data during 1980–2020.
Lina Bai +4 more
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Deep learning for bias correction of MJO prediction [PDF]
AbstractProducing accurate weather prediction beyond two weeks is an urgent challenge due to its ever-increasing socioeconomic value. The Madden-Julian Oscillation (MJO), a planetary-scale tropical convective system, serves as a primary source of global subseasonal (i.e., targeting three to four weeks) predictability.
H. Kim, Y. G. Ham, Y. S. Joo, S. W. Son
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Interpretable Deep Learning for Probabilistic MJO Prediction
AbstractThe Madden‐Julian oscillation (MJO) is the dominant source of sub‐seasonal variability in the tropics. It consists of an Eastward moving region of enhanced convection coupled to changes in zonal winds. It is not possible to predict the precise evolution of the MJO, so sub‐seasonal forecasts are generally probabilistic.
Antoine Delaunay, Hannah Christensen
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Using the Seoul National University Earth System Model Version 0 (SEM0) and Community Earth System Model version 1 (CESM1), we analyzed the impacts of El Niño-Southern oscillation (ENSO) and Madden–Julian oscillation (MJO) on the genesis of tropical ...
Jihoon Shin, Sungsu Park
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Previous studies have revealed the relationship between the Madden−Julian oscillation (MJO) and the Arctic Oscillation (AO). The MJO phase 2/3 is followed by the positive AO phase, and the MJO phase 6/7 is followed by the negative AO phase.
Lei Song, Renguang Wu
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MJO teleconnections to crop growing seasons [PDF]
AbstractWhile many Madden–Julian Oscillation (MJO) teleconnections are well documented, the significance of these teleconnections to agriculture is not well understood. Here we analyze how the MJO affects the climate during crop flowering seasons, when crops are particularly vulnerable to abiotic stress. Because the MJO is located in the tropics of the
Weston Anderson +4 more
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