On the present and future changes in Indian summer monsoon precipitation characteristics under different SSP scenarios from CMIP6 models
Open Access
- 14 October 2024
- journal article
- research article
- Published by Springer Nature in Climate Dynamics
- Vol. 62 (12) , 10445-10464
Abstract
Monsoons are a vital part of the agriculture and economy of India which most of its population rely on for their livelihoods. It still is not clear how climate change will impact precipitation events over India due to the complexity of accurately modelling precipitation. Using twelve Coupled Model Intercomparison Project Six (CMIP6) models, we compared their performance to observed data taken from CRU as well as looking at the future changes in precipitation until the end of the twenty first century for the six precipitation homogenous regions over India. The individual models showed varying degrees of wet and dry biases and the ensemble mean of these models showed relatively lesser bias and improved spatial correlation. Out of 12 models, NorESM and MIROC6 models outperform other models in terms of capturing the spatial variability of precipitation over the Indian region. It is also found that due to lesser moisture transport from the adjoining seas represented through vertically integrated moisture transport (VIMT) analysis, there is consistent dry bias across the models. Further a comprehensive analysis of model performance across six homogeneous precipitation regions indicates that NorESM demonstrates better performance in the CNE and HR regions, EC-Earth excels in the PR, WC, and NE regions, while CMCC shows better performance specifically in the NW region compared to other models. Shared Socioeconomic Pathways (SSPs) were used for future projections and a slight increase in June, July, August, and September (JJAS) precipitation until the end of the century with SSP5-8.5 showing the largest increase. We found an increase in precipitation of 0.49, 0.74 and 1.4 mm/day under SSP1-2.6, SSP2-4.5 and SSP5-8.5 in the far future. The northeast region was shown to receive the largest increase in precipitation (2.9 mm/day) compared to other precipitation homogenous regions and northwest will experience largest shift in precipitation. Interestingly, the number of wet days is expected to increase in the northwest region implying more VIMT towards the region. Our results indicate that monsoon precipitation extremes across all the homogenous regions will increase into the future with a higher severity under fossil-fuelled development, although the models still show large biases lowering confidence in our results.Keywords
All Related Versions
Funding Information
- PSF-QR Fund-University of Hertfordshire (C006341.05)
This publication has 44 references indexed in Scilit:
- Assessment of GCMs simulation performance for precipitation and temperature from CMIP5 to CMIP6 over the Tibetan PlateauInternational Journal of Climatology, 2021
- Assessment of two versions of regional climate model in simulating the Indian Summer Monsoon over South Asia CORDEX domainClimate Dynamics, 2017
- Sensitivity of the Himalayan orography representation in simulation of winter precipitation using Regional Climate Model (RegCM) nested in a GCMClimate Dynamics, 2017
- Role of the Himalayan Orography in Simulation of the Indian Summer Monsoon using RegCM3Pure and Applied Geophysics, 2013
- A canonical response of precipitation characteristics to global warming from CMIP5 modelsGeophysical Research Letters, 2013
- Monsoons in a changing world: A regional perspective in a global contextJournal of Geophysical Research: Atmospheres, 2013
- The Asian summer monsoon response to the La Niña event of 2010Meteorological Applications, 2012
- Summer monsoon convection in the Himalayan region: terrain and land cover effectsQuarterly Journal of the Royal Meteorological Society, 2010
- Effects of the Tibetan Plateau on the Asian summer monsoon: a numerical case study using a regional climate modelInternational Journal of Climatology, 2009
- Climate impacts on Indian agricultureInternational Journal of Climatology, 2004