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Recent study by Ganai et al. 2015 documented significant improvement in mean precipitation distribution in CFSv2 over ISM region by incorporating revised simplified ArakawaSchubert (RSAS) convective parameterization scheme following Han and Pan 2011.

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The results revealed that RSAS showed better fidelity in simulating monsoon features from diurnal to daily scales during active and break periods as compared to SAS simulation.

Prominent improvement can be noted in simulating diurnal phase of precipitation in RSAS over central India (CI) and equatorial Indian Ocean (EIO) region during active periods.

The spatial distribution of precipitation largely improved in RSAS simulation during active and break episodes.

CFSv2 with SAS simulation has noticeable dry bias over CI and wet bias over EIO region which appeared to be largely reduced in RSAS simulation during both phases of the intraseasonal oscillation (ISO).

During active periods, RSAS simulates more realistic probability distribution function (PDF) in good agreement with the observation.

The relative improvement has been identified in outgoing longwave radiation, monsoon circulations, and vertical velocities in RSAS over SAS simulation.

The improvement of rainfall distribution appears to be contributed by proper simulation of convective rainfall in RSAS.

CFSv2 with RSAS simulation is able to simulate observed diurnal cycle of rainfall over CI.

It correctly reproduces the time of maximum rainfall over CI.

It is found that the improved feedback between moisture and convective processes in RSAS may be attributed to its improved simulation.

Besides improvement, RSAS could not reproduce proper tropospheric temperature, cloud hydrometeors over ISM domain which shows the scope for future development.

In spite of significant progress in understanding and predicting Goswami, 2005; Goswami and Xavier, 2003; Webster and Hoyos, 2004; Abhilash et al., 2014 Indian summer monsoon (ISM), still many of the monsoon features, namely, the intraseasonal oscillations (ISOs), diurnal variability remains a challenge.

ISM is a major component of the global climate system, and it is particularly important for its seminal role on the economy and agriculture of India Gadgil and Gadgil, 2006.

ISM has two embedded quasiperiodic modes (1020 day and 3060 day) Krishnamurti and Bhalme, 1976; Krishnamurti and Ardunay, 1980; Yasunari, 1980; Goswami, 2005, out of which the lowfrequency 3060 day oscillation is found to significantly contribute in deciding the spacetime distribution of ISM rainfall.

The monsoon ISOs manifest in the form of prolonged spells of dry or break and wet or active conditions which sometimes last for 23 weeks Goswami, 2005; Webster et al., 1998.

These active and break conditions are associated with fluctuations of the tropical convergence zone (TCZ) Yasunari, 1980; Sikka and Gadgil, 1980.

Studies have highlighted that the largescale circulation shows distinct difference in the mean state during active and break phases of ISM Krishnamurti and Bhalme, 1976.

Generally, largescale circulation shows an increase (decrease) in cyclonic vorticity and decrease (increase) of surface pressure over the central Indian monsoon trough region during active (break) periods.

The summer monsoon ISO represents a signal with amplitude as large as the annual cycle and is much larger than the interannual variability of the seasonal mean Waliser, 2006; Hoyos and Webster, 2007; Goswami et al., 2011.

This is the basis for continuing endeavor to understand and improve the prediction of this mode Goswami and Xavier, 2003; Webster and Hoyos, 2004.

Studies using climate forecast system (CFS) version 2 (CFSv2) showed significant skill in reproducing the seasonal and intraseasonal rainfall variabilities of the ISM Yuan et al., 2011; Sharmila et al., 2013; Saha et al., 2014a.

However, they pointed out that the dry bias of monsoon rainfall over Indian land mass is amplified in CFSv2.

Goswami et al. 2014 made an effort to find out possible explanation for the dry precipitation bias over Indian landmass in CFSv2.

They concluded that the synoptic variance is significantly lower than its ISO variance in CFSv2 over Indian landmass.

Most of the studies Sharmila et al., 2013; Saha et al., 2014a; Goswami et al., 2014 revealed the systematic biases in mean precipitation in CFSv2 over ISM region, especially in terms of dry bias over Indian landmass and wet bias over equatorial Indian Ocean (EIO).

Recent study by Ganai et al.

CFSv2 over ISM region by incorporating revised simplified ArakawaSchubert (RSAS) convective parameterization scheme following Han and Pan 2011.

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