2020
DOI: 10.1007/s12517-020-5081-x
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Evaluation of CORDEX-RCMS and their driving GCMs of CMIP5 in simulation of Indian summer monsoon rainfall and its future projections

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Cited by 7 publications
(2 citation statements)
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“…Recently, the study conducted by Kumar et al . (2020) noticed that GCMs have the ability to simulate the monsoon season rainfall over the Indian region more precisely compared with ground data while RCMs capture the JJAS rainfall poorly. Hasson (2016) also found that RCMs that participated in CORDEX‐SA are unable to capture rainfall data reasonably well over the Indian region in case of the extreme rainfall events too.…”
Section: Discussionmentioning
confidence: 99%
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“…Recently, the study conducted by Kumar et al . (2020) noticed that GCMs have the ability to simulate the monsoon season rainfall over the Indian region more precisely compared with ground data while RCMs capture the JJAS rainfall poorly. Hasson (2016) also found that RCMs that participated in CORDEX‐SA are unable to capture rainfall data reasonably well over the Indian region in case of the extreme rainfall events too.…”
Section: Discussionmentioning
confidence: 99%
“…Comparison study of rainfall trend between IMD versus CORDEX-MMM and IMD versus CMIP5-MMM during the monsoon season from 1976 to 2000 over the states of Comparison study of rainfall pattern between IMD and CORDEX-MMM simulation and IMD and CMIP5-MMM simulation during monsoon season in terms of RMSE, MAE and bias from 1976 to 2000 over Himachal Pradesh (HP) and Uttarakhand (UK) regions (units are in mm day −1 ) Himalayan region is very difficult as it is fully dependent on the complex orographic climatic regime(Meher et al, 2017). Recently, the study conducted byKumar et al (2020) noticed that GCMs have the ability to simulate the monsoon season rainfall over the Indian region more precisely compared with ground data while RCMs capture the JJAS rainfall poorly Hasson (2016). also found that RCMs that participated in CORDEX-SA are unable to capture rainfall data reasonably well over the Indian region in case of the extreme rainfall events too Sanjay et al (2017).…”
mentioning
confidence: 99%