Revised cloud processes to improve the mean and intraseasonal variability of Indian summer monsoon in climate forecast system: Part 1. (2nd May 2017)

• Record Type: Journal Article
• Authors: Abhik, S.; Krishna, R. P. M.; Mahakur, M.; Ganai, Malay; Mukhopadhyay, P.; Dudhia, J.
• Is Part Of: Journal of advances in modeling earth systems. Volume 9:Number 2(2017)
• Page Start: 1002
• Page End: 1029
• Publication Date: 2017-05-02
• Subjects: boreal summer intraseasonal oscillation -- tropical cloud processes -- climate forecast system -- Indian summer monsoon; Geological modeling -- Periodicals; Climatology -- Periodicals; Geochemical modeling -- Periodicals; 551.5011
• DOI: 10.1002/2016MS000819
• Languages: English
• ISSNs: 1942-2466

Abstract

Abstract: The National Centre for Environmental Prediction (NCEP) Climate Forecast System (CFS) is being used for operational monsoon prediction over the Indian region. Recent studies indicate that the moist convective process in CFS is one of the major sources of uncertainty in monsoon predictions. In this study, the existing simple cloud microphysics of CFS is replaced by the six‐class Weather Research Forecasting (WRF) single moment (WSM6) microphysical scheme. Additionally, a revised convective parameterization is employed to improve the performance of the model in simulating the boreal summer mean climate and intraseasonal variability over the Indian summer monsoon (ISM) region. The revised version of the model (CFSCR) exhibits a potential to improve shortcomings in the seasonal mean precipitation distribution relative to the standard CFS (CTRL), especially over the ISM region. Consistently, notable improvements are also evident in other observed ISM characteristics. These improvements are found to be associated with a better simulation of spatial and vertical distributions of cloud hydrometeors in CFSCR. A reasonable representation of the subgrid‐scale convective parameterization along with cloud hydrometeors helps to improve the convective and large‐scale precipitation distribution in the model. As a consequence, the simulated low‐frequency boreal summer intraseasonal oscillation (BSISO) exhibits realistic propagation and the observed northwest‐southeast rainband is well reproduced in CFSCR. Additionally, both the high and low‐frequency BSISOs are better captured in CFSCR. The improvement of low and high‐frequency BSISOs in CFSCR is shown to be related to a realistic phase relationship of clouds. Plain Language Summary: This study attempts to demonstrate the impact of better representation of cloud processes on simulating the mean and intraseasonal variability of Indian summer monsoon in a revised version of CFSv2 called CFSCR. The CFSCR shows better fidelity in capturing the global mean cloud distribution and also better cloud‐rain relationship. This appears to improve the precipitation distribution in general and most importantly the convective and stratiform rain by CFSCR as compared to CFSv2. Key Points: Realistic representation of cloud process in a climate model Revised cloud and convective processes improve convective and stratiform rain distribution in CFSv2 Improvement of boreal summer mean and intraseasonal variability in CFSv2