Physical and numerical contributions to the structure of Kelvin wave-CISK modes in a spectral transform model

Matthews, Adrian J. ORCID: https://orcid.org/0000-0003-0492-1168 and Lander, Jason (1999) Physical and numerical contributions to the structure of Kelvin wave-CISK modes in a spectral transform model. Journal of the Atmospheric Sciences, 56 (23). pp. 4050-4058. ISSN 0022-4928

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Abstract

Nonlinear Kelvin wave-CISK modes'' are critically assessed as a possible mechanism for the Madden-Julian Oscillation (MJO) with a global spectral transform model and a one-dimensional analog. Convection is parametrized using a simple ``positive-only CISK'' scheme, where tropospheric diabatic heating is proportional to the low-level convergence, and is set to zero in regions of low-level divergence. Although the modes have many properties that are consistent with the MJO, they also have a serious drawback. The growth rate of unstable modes depends crucially on the width of the heating region, which is resolution dependent. The ``CISK catastrophe'' has not been averted, and the heating region collapses to the smallest localized scale that the model can support. This scale is larger than the model resolution, as measured by both the gridpoint-scale and the inverse wavenumber or half-zonal-wavelength of the highest wavenumber basis function, and is associated with the appearance of negative Gibbs fringes which are then cut off by the positive-only CISK parametrization.

Item Type:	Article
Faculty \ School:	Faculty of Science > School of Mathematics (former - to 2024) Faculty of Science > School of Environmental Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Centre for Ocean and Atmospheric Sciences Faculty of Science > Research Groups > Volcanoes@UEA (former - to 2018) Faculty of Science > Research Groups > Marine and Atmospheric Sciences (former - to 2017) Faculty of Science > Research Groups > Meteorology, Oceanography and Climate Dynamics (former - to 2017) Faculty of Science > Research Groups > Climate, Ocean and Atmospheric Sciences (former - to 2017) Faculty of Science > Research Groups > Fluids & Structures Faculty of Science > Research Groups > Numerical Simulation, Statistics & Data Science
Depositing User:	Vishal Gautam
Date Deposited:	10 Mar 2011 12:37
Last Modified:	11 Nov 2024 00:37
URI:	https://ueaeprints.uea.ac.uk/id/eprint/20947
DOI:	10.1175/1520-0469(1999)056<4050:PANCTT>2.0.CO;2

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