Results 161 to 170 of about 1,728 (177)
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2020
<p>This presentation introduces a theory in which the dynamic core of the MJO is described in terms of a harmonic oscillator that can be excited by stochastic forcing. The mechanism for selecting MJO scales comes from momentum damping.
Chidong Zhang, Ji-Eun Kim
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<p>This presentation introduces a theory in which the dynamic core of the MJO is described in terms of a harmonic oscillator that can be excited by stochastic forcing. The mechanism for selecting MJO scales comes from momentum damping.
Chidong Zhang, Ji-Eun Kim
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Environmental Sources of Error in the Navy ESPC MJO Forecasts and MJO Teleconnections
Monthly Weather ReviewAbstract We examine the environmental conditions that lead to well- and poorly predicted MJO events in the Navy Earth System Prediction Capability (ESPC) global coupled forecast system. Individual MJO events are tracked using an MJO tracking algorithm following Chikira (2014). Good and poor forecasts are determined by how well the forecasted MJO object
Stephanie S. Rushley +2 more
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Potential vorticity aspects of the MJO
Dynamics of Atmospheres and Oceans, 2006Considering linearized motion about a resting basic state, we derive analytical solutions of the equatorial -plane primitive equations under the assumption that the o w is steady in a reference frame moving eastward with a diabatic forcing resembling a super cloud cluster.
Wayne H. Schubert, Matthew T. Masarik
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Coupled COAMPS Extended Range MJO Prediction
2012Abstract : The Madden Julian Oscillation (MJO) influences the intraseasonal variability in the tropics. It is essential to understand factors that contribute to the model forecast errors associated with the extended prediction of the MJO. The long-term goals of this research are to identify the physical processes that affect the extended range ...
Jerome M. Schmidt +3 more
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MJO and its relationship to ENSO
Journal of Geophysical Research: Atmospheres, 2008In this study, we detected the spatial and temporal characteristics of Madden‐Julian Oscillation (MJO) using zonal winds at the surface and outgoing long‐wave radiation (OLR) from the NCEP‐NCAR (U.S. National Center of Environmental Prediction‐National Center for Atmospheric Research) reanalysis product from 1981–2003.
Youmin Tang, Bin Yu
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MJO influence in the Caribbean
Theoretical and Applied Climatology, 2019This study considers how the Madden Julian Oscillation (MJO) reaches the Caribbean using observational ~ 20-–80-day filtered data in the period 1998–2015. MJO’s presence is quantified by reanalysis zonal wind shear (200 minus 850 hPa) and satellite outgoing longwave radiation (OLR) in a receipt area 10–15 N, 60–80 W and in a transmission area of the ...
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2016
The Madden Julian Oscillation (MJO) is a tropical phenomenon that develops over the Indian Ocean as a large area of convection approximately 1000km across. This intraseasonal oscillation affects both weather and climate in extratropical regions, where most of the world's population resides.
Vargas-Martes, Rosa +2 more
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The Madden Julian Oscillation (MJO) is a tropical phenomenon that develops over the Indian Ocean as a large area of convection approximately 1000km across. This intraseasonal oscillation affects both weather and climate in extratropical regions, where most of the world's population resides.
Vargas-Martes, Rosa +2 more
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Sources of S2S and MJO predictability
One main justification for subseasonal-to-seasonal (S2S) prediction is its identified sources of predictability. These sources include slowly varying phenomena, such as the MJO, stratospheric conditions, upper-ocean heat content, soil moisture, and sea ice.openaire +1 more source

