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Part of the book series: Meteorological Monographs ((METEOR))

Abstract

The impetus for the development of this simple lagged convective adjustment scheme came from the series of tropical field experiments in the decade 1969–79 [VIMHEX, the Venezuela International Meteorological the Hydrological Experiment in 1969 and 1972; GATE, the GARP (Global Atmospheric Research Program) Atlantic Tropical Experiment in 1974, and MONEX, the Monsoon Experiment in 1979]. Deep convection is the dominant vertical transport process in the tropics. In conjunction with the radiation field and the subsiding branches of the tropical circulations, convective processes maintain a vertical thermal structure, which is quite close to the moist adiabat through the equivalent potential temperature θ e of the subcloud layer in the regions of deep convection. This was the basis of early cumulus parameterization schemes. Manabe (1965) proposed adjustment toward a moist-adiabatic structure to remove conditional instability in large-scale models. Kuo (1965, 1974) proposed a simple cloud model for deep convection that adjusted the atmosphere toward the saturated moist pseudoadiabat in the presence of grid-scale moist convergence. However, the mean tropical atmosphere is always cooler by several degrees in the middle troposphere than this reference moist adiabat, even in regions of vigorous convection (see Figs. 9.5–9.7). At the same time, the deep convective transports also maintain the water vapor and cloud distributions in the tropics, which in turn play a crucial role in the radiative fluxes.

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Kerry A. Emanuel David J. Raymond

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© 1993 American Meteorological Society

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Betts, A.K., Miller, M.J. (1993). The Betts-Miller Scheme. In: Emanuel, K.A., Raymond, D.J. (eds) The Representation of Cumulus Convection in Numerical Models. Meteorological Monographs. American Meteorological Society, Boston, MA. https://doi.org/10.1007/978-1-935704-13-3_9

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  • DOI: https://doi.org/10.1007/978-1-935704-13-3_9

  • Publisher Name: American Meteorological Society, Boston, MA

  • Online ISBN: 978-1-935704-13-3

  • eBook Packages: Springer Book Archive

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