How does the cumulus parameterization scheme influence the simulation of MJO propagation and structure?-Reference-Cited by-同舟云学术

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How does the cumulus parameterization scheme influence the simulation of MJO propagation and structure?

Published:2024-09-06 Issue: Volume: Page:
ISSN:0930-7575
Container-title:Climate Dynamics
language:en
Short-container-title:Clim Dyn

Author:

Zhu Xiaoyu,Zhong Zhong^ORCID,Zhu Yimin,Li Yunying,Hu Yijia,Ha Yao

Funder

National Natural Science Foundation of China

Innovative Research Group Project of the National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Science and Technology Innovative Research Team in Higher Educational Institutions of Hunan Province

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00382-024-07427-4.pdf

Reference75 articles.

1. Aberson SD, Kaplan J (2020) The relationship between the Madden–Julian oscillation and tropical cyclone rapid intensification. Weather Forecast 35(5):1865–1870. https://doi.org/10.1175/WAF-D-19-0209.1

2. Adames ÁF, Wallace JM, Monteiro JM (2016) Seasonality of the structure and propagation characteristics of the MJO. J Atmos Sci 73(9):3511–3526. https://doi.org/10.1175/JAS-D-15-0232.1

3. Ahn M-S, Kim D, Sperber KR, Kang I-S, Maloney E, Waliser D et al (2017) MJO simulation in CMIP5 climate models: MJO skill metrics and process-oriented diagnosis. Clim Dyn 49(11):4023–4045. https://doi.org/10.1007/s00382-017-3558-4

4. Ahn M-S, Kim D, Kang D, Lee J, Sperber KR, Gleckler PJ et al (2020) MJO propagation across the maritime continent: are CMIP6 models better than CMIP5 models? Geophys Res Lett. https://doi.org/10.1029/2020GL087250

5. Beljaars ACM (1995) The parametrization of surface fluxes in large-scale models under free convection. Q J R Meteorol Soc 121(522):255–270. https://doi.org/10.1002/qj.49712152203

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