Results 1 to 10 of about 849 (154)
Global datasets of land surface state changes associated with the Madden-Julian Oscillation. [PDF]
Data Brief, 2019 This data article reports the global datasets of land surface state changes including daily maximum and minimum temperature, diurnal temperature range, surface precipitation, snow cover, soil moisture and outgoing longwave radiation associated with the ...
Lin J, Qian T.
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Ocean feedback to pulses of the Madden-Julian Oscillation in the equatorial Indian Ocean. [PDF]
Nat Commun, 2016 The Madden-Julian Oscillation (MJO) describes an eastward propagating pulse of tropical convection. Here, using short-term field measurements, Moum et al. illustrate an MJO memory effect: strong pulses drive enhanced ocean heat loss, weakening subsequent
Moum JN, Pujiana K, Lien RC, Smyth WD.
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Testing the reliability of interpretable neural networks in geoscience using the Madden–Julian oscillation [PDF]
Geoscientific 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
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A pioneering time of discoveries in large-scale tropical meteorology: 1960 through 1972 [PDF]
History of Geo- and Space Sciences, 2023 The Australian Bureau of Meteorology (http://www.bom.gov.au/climate/mjo, last access: 9 February 2023) states that “The Madden–Julian Oscillation (MJO) is a major fluctuation in tropical weather on weekly to monthly timescale.
R. A. Madden, R. A. Madden
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Potential Predictability of the Madden‐Julian Oscillation in a Superparameterized Model
Geophysical Research Letters, 2023 The Madden‐Julian Oscillation (MJO) is a promising target for improving sub‐seasonal weather forecasts. Current forecast models struggle to simulate the MJO due to imperfect convective parameterizations and mean state biases, degrading their forecast ...
Sarah Weidman, Zhiming Kuang
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Deep learning for bias correction of MJO prediction
Nature Communications, 2021 The Madden-Julian Oscillation (MJO) is a crucial component of the tropical weather system, but forecasting it has been challenging. Here, the authors present a deep learning bias correction method that significantly improves multi-model forecasts of the ...
H. Kim, Y. G. Ham, Y. S. Joo, S. W. Son
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Atmosphere, 2023 The typical diurnal variability of tropospheric winds over West Sumatra and their changes associated with El Niño Southern Oscillation, Quasi-Biennial Oscillation, Madden–Julian Oscillations and convectively coupled Kelvin waves during the extended ...
Wojciech Ryszard Szkolka +5 more
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Improved MJO Forecasts Using the Experimental Global‐Nested GFDL SHiELD Model
Geophysical Research Letters, 2023 Sitting at the crossroads of weather and climate, the Madden‐Julian Oscillation (MJO) is considered a primary source of subseasonal predictability. Despite its importance, numerical models struggle with MJO prediction as its convection moves through the ...
Breanna L. Zavadoff +5 more
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Is the Madden‐Julian Oscillation a Moisture Mode?
Geophysical Research Letters, 2023 The governing thermodynamics of the Madden‐Julian Oscillation (MJO) is examined using sounding and reanalysis data. On the basis of four objective criteria, results suggest that the MJO behaves like a moisture mode–a system whose thermodynamics is ...
Víctor C. Mayta +1 more
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Subseasonal midlatitude prediction skill following Quasi-Biennial Oscillation and Madden–Julian Oscillation activity [PDF]
Weather and Climate Dynamics, 2020 The Madden–Julian Oscillation (MJO) is known to force extratropical weather days to weeks following an MJO event through excitation of stationary Rossby waves, also referred to as tropical–extratropical teleconnections.
K. J. Mayer, E. A. Barnes
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