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Media type:
E-Article
Title:
Tropical Variability Simulated in ICON‐A With a Spectral Cumulus Parameterization
Contributor:
Baba, Yuya;
Giorgetta, Marco A.
Published:
American Geophysical Union (AGU), 2020
Published in:
Journal of Advances in Modeling Earth Systems, 12 (2020) 1
Language:
English
DOI:
10.1029/2019ms001732
ISSN:
1942-2466
Origination:
Footnote:
Description:
AbstractWe implemented a spectral cumulus parameterization based on a cloud‐resolving model (SC scheme) in the icosahedral nonhydrostatic atmospheric model (ICON‐A). We compared the resulting simulated climatology and tropical variability with results from the standard version of ICON‐A using a variant of the Tiedtke‐Nordeng scheme (TK scheme) using observational and reanalysis data. The climatological errors of the SC scheme were similar to those of the TK scheme, but several biases, such as properties of meridional winds and precipitation pattern in the western Pacific, were much improved. For tropical variability, we found that the SC scheme improved the interannual response of the precipitation in the western Pacific and was able to simulate Madden‐Julian oscillation (MJO) features much better than the TK scheme. We investigated the reason for the better simulation of the MJO using composite analysis and column process analysis for moisture. Our results suggest that the entrainment parameterization of the SC scheme is necessary to reproduce the MJO; however, spectral representation and improved convective closure are also found to contribute for better MJO simulation. These parameterizations improved moisture supply from low‐level clouds and cloud mass flux which were needed to sustain the MJO.