Role of Autoconversion Parameterization in Coupled Climate Model for Simulating Monsoon Subseasonal Oscillations

Abstract The Indian summer monsoon (ISM) and associated monsoon intraseasonal oscillations (MISOs) influence the billions of people living in the Indian subcontinent. This study explores the role of autoconversion parameterization in microphysical schemes for the simulation of MISO with the coupled climate model, for example, the Climate Forecast System version 2 (CFSv2), by conducting sensitivity experiments in two resolutions (∼100 and ∼38 km). Results reveal that the modified autoconversion parameterization better simulates the active‐break spells of the ISM rainfall. The main improvements include the contrasting features of rainfall over land and ocean and the MISO index, representing MISO periodicity. The improvements are qualitatively and quantitatively more significant in the higher‐resolution simulations, particularly regarding rainfall spatial patterns over the Indian subcontinent during active spells. The MISO monitoring index in the revised CFSv2 also shows improvement compared with the control run. This study concludes that proper autoconversion parameterization in the coupled climate model can lead to enhanced representation of active‐break spells and sub‐seasonal variability of ISM.

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Publication Details

Journal
Journal of Geophysical Research Atmospheres
Published
2025-05-06
DOI
https://doi.org/10.1029/2024jd042783
Citations
2
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
2.21

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article

Role of Autoconversion Parameterization in Coupled Climate Model for Simulating Monsoon Subseasonal Oscillations

Moumita Bhowmik, Anupam Hazra, Jen‐Ping Chen, Ushnanshu Dutta
2 citations
Journal of Geophysical Research Atmospheres
Climate variability and models
2.21
article

Role of Autoconversion Parameterization in Coupled Climate Model for Simulating Monsoon Subseasonal Oscillations

Moumita Bhowmik, Anupam Hazra, Jen‐Ping Chen, Ushnanshu Dutta
article en
2 citations

Abstract

Abstract The Indian summer monsoon (ISM) and associated monsoon intraseasonal oscillations (MISOs) influence the billions of people living in the Indian subcontinent. This study explores the role of autoconversion parameterization in microphysical schemes for the simulation of MISO with the coupled climate model, for example, the Climate Forecast System version 2 (CFSv2), by conducting sensitivity experiments in two resolutions (∼100 and ∼38 km). Results reveal that the modified autoconversion parameterization better simulates the active‐break spells of the ISM rainfall. The main improvements include the contrasting features of rainfall over land and ocean and the MISO index, representing MISO periodicity. The improvements are qualitatively and quantitatively more significant in the higher‐resolution simulations, particularly regarding rainfall spatial patterns over the Indian subcontinent during active spells. The MISO monitoring index in the revised CFSv2 also shows improvement compared with the control run. This study concludes that proper autoconversion parameterization in the coupled climate model can lead to enhanced representation of active‐break spells and sub‐seasonal variability of ISM.

Journal of Geophysical Research AtmospheresVol. 130(9)
Indian Institute of Tropical Meteorology (IN), National Taiwan University (TW), Ministry of Earth Sciences (IN), Research Center for Environmental Changes, Academia Sinica (TW)
National Taiwan University
Openalex Percentile: Top 14%
Climate variability and models
2.21
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