Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 13, issue 11
Articles | Volume 13, issue 11
https://doi.org/10.5194/gmd-13-5191-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-5191-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 11
Model experiment description paper
 | 
02 Nov 2020
Model experiment description paper |  | 02 Nov 2020

Boreal summer intraseasonal oscillation in a superparameterized general circulation model: effects of air–sea coupling and ocean mean state

Yingxia Gao, Nicholas P. Klingaman, Charlotte A. DeMott, and Pang-Chi Hsu

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Cited articles

Annamalai, H. and Slingo, J. M.: Active/break cycles: Diagnosis of the intraseasonal variability of the Asian summer monsoon, Clim. Dynam., 18, 85–102, https://doi.org/10.1007/s003820100161, 2001. 
Annamalai, H. and Sperber, K. R.: Regional heat sources and the active and break phases of boreal summer intraseasonal (30–50 day) variability, J. Atmos. Sci., 62, 2726–2748, https://doi.org/10.1175/JAS3504.1, 2005. 
Benedict, J. J. and Randall, D. A.: Structure of the Madden–Julian oscillation in the superparameterized CAM, J. Atmos. Sci., 66, 3277–3296, https://doi.org/10.1175/2009JAS3030.1, 2009. 
Bernie, D. J., Woolnough, S. J., Slingo, J. M., and Guilyardi, E.: Modeling diurnal and intraseasonal variability of the ocean mixed layer, J. Climate, 18, 1190–1202, https://doi.org/10.1175/JCLI3319.1, 2005. 
Bollasina, M. A. and Ming, Y.: The general circulation model precipitation bias over the southwestern equatorial Indian Ocean and its implications for simulating the South Asian monsoon, Clim. Dynam., 40, 823–838, https://doi.org/10.1007/s00382-012-1347-7, 2013. 
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Both the air–sea coupling and ocean mean state affect the fidelity of simulated boreal summer intraseasonal oscillation (BSISO). To elucidate their relative effects on the simulated BSISO, a set of experiments was conducted using a superparameterized AGCM and its coupled version. Both air–sea coupling and cold ocean mean state improve the BSISO amplitude due to the suppression of the overestimated variance, while the former (latter) could further upgrade (degrade) the BSISO propagation.
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