Results 11 to 20 of about 17,552 (267)

Propagation mechanisms for the Madden‐Julian Oscillation [PDF]

open access: yesQuarterly Journal of the Royal Meteorological Society, 2000
AbstractThe Madden‐Julian Oscillation (MJO) is examined using 20‐years of outgoing long‐wave radiation and National Centers for Environmental Prediction/National Center for Atmospheric Research re‐analysis data. Two mechanisms for the eastward propagation and regeneration of the convective anomalies are suggested.The first is a local mechanism ...
Adrian J Matthews
exaly   +8 more sources

Fifty Years of Research on the Madden‐Julian Oscillation: Recent Progress, Challenges, and Perspectives

open access: yesJournal of Geophysical Research D: Atmospheres, 2020
Since its discovery in the early 1970s, the crucial role of the Madden‐Julian Oscillation (MJO) in the global hydrological cycle and its tremendous influence on high‐impact climate and weather extremes have been well recognized.
Xianan Jiang   +8 more
semanticscholar   +3 more sources

Atmosphere‐ocean coupled processes in the Madden‐Julian oscillation [PDF]

open access: yesReviews of Geophysics, 2015
The Madden-Julian oscillation (MJO) is a convectively coupled 30-70 day (intraseasonal) tropical atmospheric mode that drives variations in global weather, but which is poorly simulated in most atmospheric general circulation models.
Charlotte A Demott   +2 more
exaly   +2 more sources

RETRACTED ARTICLE: Machine learning prediction of the Madden-Julian oscillation [PDF]

open access: yesnpj Climate and Atmospheric Science, 2021
The socioeconomic impact of weather extremes draws the attention of researchers to the development of novel methodologies to make more accurate weather predictions.
Riccardo Silini   +2 more
doaj   +5 more sources

Stratospheric control of the Madden-Julian oscillation.

open access: yesJournal of Climate, 2017
Abstract Interannual variation of seasonal-mean tropical convection over the Indo-Pacific region is primarily controlled by El Niño–Southern Oscillation (ENSO). For example, during El Niño winters, seasonal-mean convection around the Maritime Continent becomes weaker than normal, while that over the central to eastern Pacific is ...
S. Son   +4 more
semanticscholar   +2 more sources

Madden–Julian Oscillation: Bridging Weather and Climate

open access: yesBulletin of the American Meteorological Society, 2013
The Madden–Julian oscillation exerts broad influences on global weather and climate as its center of convection moves from the tropical Indian Ocean into the Pacific. Weather events under the influence of the MJO include precipitation, surface temperature, tropical cyclones, tornadoes, flood, wildfire, and lightning, among others.
Chidong Zhang
semanticscholar   +2 more sources

Vertical structure and physical processes of the Madden‐Julian oscillation: Exploring key model physics in climate simulations

open access: yesJournal of Geophysical Research D: Atmospheres, 2015
Aimed at reducing deficiencies in representing the Madden‐Julian oscillation (MJO) in general circulation models (GCMs), a global model evaluation project on vertical structure and physical processes of the MJO was coordinated.
Xianan Jiang   +31 more
semanticscholar   +3 more sources

Deciphering chaos in the Madden-Julian oscillation

open access: yesnpj Climate and Atmospheric Science
The Madden-Julian Oscillation (MJO), having far-reaching impact on Earth’s climate and human society, is an important tropical phenomenon characterized by a typical 30–90-day period in phase evolution.
Guosen Chen
doaj   +2 more sources

Tracking Pulses of the Madden–Julian Oscillation

open access: yesBulletin of the American Meteorological Society, 2013
An international field campaign aiming at atmospheric and oceanic processes associated with the Madden–Julian oscillation (MJO) was conducted in and around the tropical Indian Ocean during October 2011–March 2012. The objective of the field campaign was to collect observations urgently needed to expedite the progress of understanding the key processes ...
K. Yoneyama, Chidong Zhang, C. Long
semanticscholar   +2 more sources

Testing the reliability of interpretable neural networks in geoscience using the Madden–Julian oscillation [PDF]

open access: yesGeoscientific Model Development, 2021
We test the reliability of two neural network interpretation techniques, backward optimization and layerwise relevance propagation, within geoscientific applications by applying them to a commonly studied geophysical phenomenon, the Madden–Julian ...
B. A. Toms   +4 more
doaj   +1 more source

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