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The seasonal prediction of the Indian summer monsoon (ISM) and MonsoonIntraseasonal Oscillations (MISO), as well as the Madden Julian Oscillations(MJO) that strongly modulate MISO, is important to the country for water andcrop management. We have analyzed the precipitation, convection, and totalcloud fraction (TCF) in the sixth Coupled Model Intercomparison Projects(CMIP6). This study highlights the significant differences in simulating MISOand MJO between the two groups of selected CMIP6 models and physical reasonsbehind them. The mean and intraseasonal features of MISO and MJO variedsignificantly in CMIP6 models, which are linked with a better depiction ofconvection and total cloud fraction. The probability distributions of rainfalland OLR in CMIP6 models indicate significant variations in simulating ISMprecipitating clouds. TaiESM1 and IITM-ESM demonstrate improvements incapturing the MISO features. TaiESM1 depicts better eastward propagation of MJOduring both summer and winter. The biases in OLR and TCF are also less in theIITM-ESM and TaiESM1 models than in CanESM5 and FGOALS-g3. The resultsdemonstrate the importance of cloud and convection in CMIP6 models to depictrealistic MISO and MJO and provide a road map for improving ISM climateprediction and projections.  Keywords: ISM rainfall, CMIP6 models, MISO, MJO

Towards better representation of Indian summer monsoon rainfall in CMIP6 models: Evaluation of MISO and MJO simulation