20 e've entered a data-driven era, in which data are continuously acquired for a variety of purposes. The ability to make timely decisions based on available data is crucial to business success, clinical treatments, cyber and national security, and disaster management. Additionally, the data generated from large-scale simulations, astronomical observatories, high-throughput experiments, or high...

1 Two Madden-Julian Oscillation (MJO) events, observed during October and November 2011 in 2 the equatorial Indian Ocean during the DYNAMO field campaign, are simulated in a small-3 domain cloud-resolving model using parameterized large-scale dynamics. Three 4 parameterizations of large-scale dynamics-the conventional weak temperature gradient (WTG) 5 approximation, vertical mode based spectral...

This study uses Dynamics of theMadden–Julian Oscillation (DYNAMO) shipborne [Research Vessel (R/V) Roger Revelle] radar and Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR) datasets to investigate MJO-associated convective systems in specific organizational modes [mesoscale convective system (MCS) versus sub-MCS and linear versus nonlinear]. TheRevelle radar sampledmany ‘‘cli...

AMERICAN METEOROLOGICAL SOCIETY | 425 W eather prediction is typically concerned with lead times of hours to days, while seasonal-tointerannual climate prediction is concerned with lead times of months to seasons. Recently, there has been growing interest in “subseasonal” forecasts—those that have lead times on the order of weeks (e.g., Schubert et al. 2002; Waliser et al. 2003; Waliser et al. ...

Indonesia has diverse topographical conditions that result in having a unique climate. One of the climate elements to be studied is rainfall, because rainfall different pattern each region, this caused by several phenomena factors affect pattern, including El-Nino Southern Oscillation (ENSO), Indian Ocean Dipole (IOD) and Madden Julian (MJO). Medan City capital North Sumatra province which one ...

Given the increasing attention in forecasting weather and climate on subseasonal time scale recent years, National Oceanic Atmospheric Administration (NOAA) announced to support Climate Process Teams (CPTs) which aim improve Madden-Julian Oscillation (MJO) prediction by NOAA’s global models. Our team supported this CPT program focuses primarily improvement of upper ocean mixing parameterization...

Substantial (∼2°C) basin averaged sea surface temperature (SST) cooling in the Banda Sea occurred less than a 14-day period during 2015 boreal winter Madden-Julian Oscillation (MJO). Such rapid and large associated with MJO has not been reported at least last two decades. Processes that control substantial event are examined using high-resolution ocean reanalysis one-dimensional (1-D) model sim...

Over the global tropics, the Madden-Julian Oscillation (Madden and Julian 1994, MJO) explains a significant amount of the variability in circulation and convection on intraseasonal time scales. However, significant variation exists in the spatial extent and seasonal occurrence of the MJO. While the upper-level divergent flow associated with MJO is often traced around the globe, the low-level wi...

This study investigates: (i) how the local meridional (Hadley) and zonal (Walker) circulations change in each phase of Madden-Julian Oscillation (MJO); (ii) effect enhanced suppressed MJO-related convection on poleward extent Hadley and, thus, strengths positions subtropical jets. We examine these effects ERA-Interim reanalysis by decomposing vertical mass flux into components. show for first t...

Abstract The Madden‐Julian Oscillation (MJO), the dominant mode of tropical intraseasonal variability, is commonly identified using realtime multivariate MJO (RMM) index based on joint empirical orthogonal function (EOF) analysis near‐equatorial upper and lower level zonal winds outgoing longwave radiation. Here, in place conventional EOFs, we apply an operator‐theoretic formalism dynamic syste...