The Compressional Beta Effect: Analytical Solution, Numerical Benchmark, and Data AnalysisSource: Journal of the Atmospheric Sciences:;2020:;volume( 77 ):;issue: 011::page 3721Author:Ong, Hing;Roundy, Paul E.
DOI: 10.1175/JAS-D-20-0124.1Publisher: American Meteorological Society
Abstract: This study derives a complete set of equatorially confined wave solutions from an anelastic equation set with the complete Coriolis terms, which include both the vertical and meridional planetary vorticity. The propagation mechanism can change with the effective static stability. When the effective static stability reduces to neutral, buoyancy ceases, but the role of buoyancy as an eastward-propagation mechanism is replaced by the compressional beta effect (i.e., vertical density-weighted advection of the meridional planetary vorticity). For example, the Kelvin mode becomes a compressional Rossby mode. Compressional Rossby waves are meridional vorticity disturbances that propagate eastward owing to the compressional beta effect. The compressional Rossby wave solutions can serve as a benchmark to validate the implementation of the nontraditional Coriolis terms (NCTs) in numerical models; with an effectively neutral condition and initial large-scale disturbances given a half vertical wavelength spanning the troposphere on Earth, compressional Rossby waves are expected to propagate eastward at a phase speed of 0.24 m s−1. The phase speed increases with the planetary rotation rate and the vertical wavelength and also changes with the density scale height. Besides, the compressional beta effect and the meridional vorticity tendency are reconstructed using reanalysis data and regressed upon tropical precipitation filtered for the Madden–Julian oscillation (MJO). The results suggest that the compressional beta effect contributes 10.8% of the meridional vorticity tendency associated with the MJO in terms of the ratio of the minimum values.
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contributor author | Ong, Hing;Roundy, Paul E. | |
date accessioned | 2022-01-30T17:52:38Z | |
date available | 2022-01-30T17:52:38Z | |
date copyright | 10/15/2020 12:00:00 AM | |
date issued | 2020 | |
identifier issn | 0022-4928 | |
identifier other | jasd200124.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4264104 | |
description abstract | This study derives a complete set of equatorially confined wave solutions from an anelastic equation set with the complete Coriolis terms, which include both the vertical and meridional planetary vorticity. The propagation mechanism can change with the effective static stability. When the effective static stability reduces to neutral, buoyancy ceases, but the role of buoyancy as an eastward-propagation mechanism is replaced by the compressional beta effect (i.e., vertical density-weighted advection of the meridional planetary vorticity). For example, the Kelvin mode becomes a compressional Rossby mode. Compressional Rossby waves are meridional vorticity disturbances that propagate eastward owing to the compressional beta effect. The compressional Rossby wave solutions can serve as a benchmark to validate the implementation of the nontraditional Coriolis terms (NCTs) in numerical models; with an effectively neutral condition and initial large-scale disturbances given a half vertical wavelength spanning the troposphere on Earth, compressional Rossby waves are expected to propagate eastward at a phase speed of 0.24 m s−1. The phase speed increases with the planetary rotation rate and the vertical wavelength and also changes with the density scale height. Besides, the compressional beta effect and the meridional vorticity tendency are reconstructed using reanalysis data and regressed upon tropical precipitation filtered for the Madden–Julian oscillation (MJO). The results suggest that the compressional beta effect contributes 10.8% of the meridional vorticity tendency associated with the MJO in terms of the ratio of the minimum values. | |
publisher | American Meteorological Society | |
title | The Compressional Beta Effect: Analytical Solution, Numerical Benchmark, and Data Analysis | |
type | Journal Paper | |
journal volume | 77 | |
journal issue | 11 | |
journal title | Journal of the Atmospheric Sciences | |
identifier doi | 10.1175/JAS-D-20-0124.1 | |
journal fristpage | 3721 | |
journal lastpage | 3732 | |
tree | Journal of the Atmospheric Sciences:;2020:;volume( 77 ):;issue: 011 | |
contenttype | Fulltext |