Dutta UHazra AChaudhari H.SSaha S.KPokhrel SShiu C.-JJEN-PING CHEN2022-04-252022-04-25202119422466https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115836840&doi=10.1029%2f2021MS002540&partnerID=40&md5=c6f626aa417d18462257bc7ba423c51ahttps://scholars.lib.ntu.edu.tw/handle/123456789/606325The seasonal prediction of the Indian summer monsoon (ISM) and Monsoon Intraseasonal Oscillations (MISO), as well as the Madden Julian Oscillations (MJO) that strongly modulate MISO, is of much importance to the agriculture sectors of the Indian Sub-continent. This study highlights the importance of selecting proper “autoconversion” coefficients for precipitation formation in Coupled Global Climate Model's convective and microphysical schemes in simulating MISO and MJO. With a series of sensitivity experiments, we systematically examined the convective autoconversion and microphysical autoconversion coefficients in the National Centers for Environmental Prediction Coupled Forecast System version 2 (CFSv2). The mean and intraseasonal features of MISO and MJO are improved with a proper combination of autoconversion coefficients, which not only provide a better partition of cloud water and ice but also better feedback between the large-scale condensation and convective parameterization. The results demonstrate a road map for the improvement of MISO as well as MJO simulation using a coupled climate model. ? 2021 The Authors. Journal of Advances in Modeling Earth Systems published by Wiley Periodicals LLC on behalf of American Geophysical Union.autoconversionCGCMconvectivemicrophysicsMISOMJOAtmospheric thermodynamicsClimate modelsForecastingTropicsAutoconversionConvectiveIndian summer monsoonIntraseasonal oscillationsMadden-Julian oscillationMicrophysicsMonsoon intraseasonal oscillationSeasonal predictionTropical intraseasonal oscillationClimatologyclimate feedbackcloud microphysicscloud watercondensationmonsoonparameterizationpredictionIndia[SDGs]SDG13journal article10.1029/2021MS0025402-s2.0-85115836840