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Trimodal Characteristics of Tropical Convection

TLDR
In this article, the authors found that shallow cumulus, congestus, and cumulonimbus are all prominent tropical cumulus cloud types and are associated with trimodal distributions of divergence, cloud detrainment, and fractional cloudiness in the Tropics.
Abstract
It has long been known that trade wind cumulus and deep cumulonimbus represent primary components of the broad spectrum of cumulus clouds in the Tropics, which has led to the concept of a bimodal distribution of tropical clouds. However, recent analyses of shipboard radar data from Tropical Ocean Global Atmosphere Coupled Ocean‐Atmosphere Response Experiment (COARE) provide evidence of abundant populations of a third cloud type, cumulus congestus. Congestus clouds constitute over half the precipitating convective clouds in COARE and contribute over one-quarter of the total convective rainfall. Global Atmospheric Research Program Atlantic Tropical Experiment studies reveal a similar midlevel peak in the distribution of radar-echo tops. These findings lead to the conclusion that shallow cumulus, congestus,and cumulonimbus are all prominent tropical cumulus cloud types. They are associated with trimodal distributions of divergence, cloud detrainment, and fractional cloudiness in the Tropics. The peaks in the distributions of radar-echo tops for these three cloud types are in close proximity to prominent stable layers that exist over the Pacific warm pool and the tropical eastern Atlantic: near 2 km (the trade stable layer), ;5 km (near 08C), and ;15‐16 km (the tropopause). These stable layers are inferred to inhibit cloud growth and promote cloud detrainment. The 08C stable layer can produce detrainment from cumulonimbi (attendant shelf clouds) and help retard the growth of precipitation-laden and strongly entraining congestus clouds. Moreover, restriction of growth of congestus clouds to just above the 08C level limits further enhancement of cloud buoyancy through glaciation. The three cloud types are found to vary significantly during COARE on the timescale of the 30‐60-day intraseasonal oscillation. The specific roles of clouds of the congestus variety in the general circulation are not yet clear, but some (the shallower ones) contribute to moistening and preconditioning the atmosphere for deep convection; others (the deeper ones) contribute an important fraction of the total tropical rainfall, and both likely produce many midlevel clouds, thereby modulating the radiative heating of the tropical atmosphere.

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Madden‐Julian Oscillation

TL;DR: The Madden-Julian Oscillation (MJO) is the dominant component of the intraseasonal (30-90 days) variability in the tropical atmosphere as mentioned in this paper, which consists of large-scale coupled patterns in atmospheric circulation and deep convection with coherent signals in many other variables, all propagating eastward slowly through the portion of the Indian and Pacific oceans where the sea surface is warm.
Journal ArticleDOI

The Diurnal Cycle in the Tropics

TL;DR: In this article, a global archive of high-resolution (3-hourly, 0.58 latitude-longitude grid) window (11-12 mm) brightness temperature (Tb) data from multiple satellites is developed by the European Union Cloud Archive User Service (CLAUS) project.
Journal ArticleDOI

Convectively-coupled equatorial waves

TL;DR: In this paper, the authors used convectively coupled equatorial waves (CCEWs) to simulate tropical rainfall variability in the equatorial beta plane of a tropical weather system, and found that CCEWs display a large degree of self-similarity over a surprisingly wide range of scales.
Journal ArticleDOI

Zonal and Vertical Structure of the Madden–Julian Oscillation

TL;DR: In this paper, a statistical study of the three-dimensional structure of the Madden-Julian oscillation (MJO) is carried out by projecting dynamical fields from reanalysis and radiosonde data onto space-time filtered outgoing longwave radiation (OLR) data.
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The NCEP/NCAR 40-Year Reanalysis Project

TL;DR: The NCEP/NCAR 40-yr reanalysis uses a frozen state-of-the-art global data assimilation system and a database as complete as possible, except that the horizontal resolution is T62 (about 210 km) as discussed by the authors.
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TL;DR: Physics of Climate as mentioned in this paper is a suitable text for at least part of a general circulation course and the quantity and quality of information in this book are such that anyone involved in the study of the atmosphere or climate will wish to have it handy.
Journal ArticleDOI

Determination of Bulk Properties of Tropical Cloud Clusters from Large-Scale Heat and Moisture Budgets

TL;DR: The bulk properties of tropical cloud clusters, such as the vertical mass flux, the excess temperature, and moisture and the liquid water content of the clouds, are determined from a combination of the observed large-scale heat and moisture budgets over an area covering the cloud cluster, and a model of a cumulus ensemble which exchanges mass, heat, water vapor and liquid water with the environment through entrainment and detrainment.
Journal ArticleDOI

Climatological Characterization of Three-Dimensional Storm Structure from Operational Radar and Rain Gauge Data

TL;DR: In this article, three algorithms extract information on precipitation type, structure, and amount from operational radar and rain gauge data, and statistically summarize the vertical structure of the radar echoes, and determine precipitation rates and amounts on high spatial resolution.
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