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Articles | Volume 17, issue 9
https://doi.org/10.5194/gmd-17-3897-2024
https://doi.org/10.5194/gmd-17-3897-2024
Model experiment description paper
 | 
15 May 2024
Model experiment description paper |  | 15 May 2024

Quantifying the impact of SST feedback frequency on Madden–Julian oscillation simulations

Yung-Yao Lan, Huang-Hsiung Hsu, and Wan-Ling Tseng

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Cited articles

Adler, R. F., Huffman, G. J., Chang, A., Ferraro, R., Xie, P. P., Janowiak, J., Rudolf, B., Schneider, U., Curtis, S., Bolvin, D., Gruber, A., Susskind, J., Arkin, P., and Nelkini, E.: The Version 2.1 Global Precipitation Climatology Project (GPCP) Monthly Precipitation Analysis (1979–Present), J. Hydrometeor., 4, 1147–1167, https://doi.org/10.1175/1525-7541(2003)004<1147:TVGPCP>2.0.CO;2, 2003. 
Amante, C. and Eakins, B. W.: ETOPO1 1 arc-minute globe relief model: Procedures, data sources and analysis, NOAA Tech. Memo. NESDIS NGDC-24, NOAA, Silver Spring, MD, 19 pp., https://doi.org/10.7289/V5C8276M, 2009. 
Banzon, V. F., Reynolds, R. W., Stokes, D., and Xue, Y.: A 1/4-spatial-resolution daily sea surface temperature climatology based on a blended satellite and in situ analysis, J. Climate, 27, 8221–8228, https://doi.org/10.1175/JCLI-D-14-00293.1, 2014. 
Behringer, D. W. and Xue, Y.: Evaluation of the global ocean data assimilation system at NCEP: The Pacific Ocean, Eighth Symposium on Integrated Observing and Assimilation Systems for Atmosphere, Oceans, and Land Surface, AMS 84th Annual Meeting, Washington State Convention and Trade Center, Seattle, Washington, 11–15 January 2004, https://ams.confex.com/ams/pdfpapers/70720.pdf (last access: 8 May 2024), 2004. 
Chang, M.-Y., Li, T., Lin, P.-L., and Chang, T.-H.: Forecasts of MJO Events during DYNAMO with a Coupled Atmosphere-Ocean Model: Sensitivity to Cumulus Parameterization Scheme, J. Meteorol. Res., 33, 1016–1030, https://doi.org/10.1007/s13351-019-9062-5, 2019. 
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This study uses the CAM5–SIT coupled model to investigate the effects of SST feedback frequency...
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