Improved Indian Summer Monsoon rainfall simulation: the significance of reassessing the autoconversion parameterization in coupled climate model

Bhowmik, Moumita1; Hazra, Anupam1; Srivastava, Ankur1; Mudiar, Dipjyoti1; Chaudhari, Hemantkumar S.1; Rao, Suryachandra A.1; Wang, Lian-Ping2

2024-06-01

10.1007/s00382-024-07243-w

CLIMATE DYNAMICS   影响因子和分区

0930-7575

1432-0894

An unresolved problem of the current Global Climate Models (GCM) is the unrealistic distribution of rainfall over the Indian Summer Monsoon (ISM) region, which is also related to the persistent dry bias over the Indian landmass. Therefore, quantitative prediction of the intensity of rainfall events has remained a challenge for state-of-the-art GCMs. Based on observations, it is hypothesized that the insufficient growth of cloud droplets and the processes responsible for the cloud-to-rainwater conversion are the key components in distinguishing between shallow and convective clouds. The Eulerian-Lagrangian particle-by-particle-based small-scale model provides a path for reassessing the 'autoconversion' parameterization schemes and suggests the relative dispersion-based 'autoconversion' parameterization scheme for the climate model. The realistic information on cloud drop size distribution is incorporated into the microphysical parameterization scheme of the climate model. Two sensitivity simulations are conducted using the climate forecast system (CFSv2) model. The coupled climate model incorporates a relative dispersion-based Liu-Daum-type autoconversion parameterization scheme in place of the traditional Sundqvist-type autoconversion, which, based on small-scale model analysis, makes the model more accurate in simulating the probability distribution (PDF) of rainfall with accompanying specific humidity, liquid water content, and outgoing long-wave radiation (OLR). The improved simulation of rainfall PDF appears to have been aided by a significantly improved simulation of OLR, which led to a more accurate simulation of the ISM rainfall.

Microphysical parameterization Global climate model (GCM) Indian Summer Monsoon (ISM) Probability distribution function (PDF)

SCI

英语

其他

Meteorology & Atmospheric Sciences

Meteorology & Atmospheric Sciences

WOS:001240727100002

SPRINGER

GEOSCIENCES

Web of Science

1.Minist Earth Sci, Indian Inst Trop Meteorol, Pune, India
2.Southern Univ Sci & Technol, Dept Mech & Aerosp Engn, Ctr Complex Flows & Soft Matter Res, Shenzhen, Peoples R China

Bhowmik, Moumita,Hazra, Anupam,Srivastava, Ankur,et al. Improved Indian Summer Monsoon rainfall simulation: the significance of reassessing the autoconversion parameterization in coupled climate model[J]. CLIMATE DYNAMICS,2024.

Bhowmik, Moumita.,Hazra, Anupam.,Srivastava, Ankur.,Mudiar, Dipjyoti.,Chaudhari, Hemantkumar S..,...&Wang, Lian-Ping.(2024).Improved Indian Summer Monsoon rainfall simulation: the significance of reassessing the autoconversion parameterization in coupled climate model.CLIMATE DYNAMICS.

Bhowmik, Moumita,et al."Improved Indian Summer Monsoon rainfall simulation: the significance of reassessing the autoconversion parameterization in coupled climate model".CLIMATE DYNAMICS (2024).