2019
DOI: 10.1175/bams-d-18-0152.1
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Risks of Pre-Monsoon Extreme Rainfall Events of Bangladesh: Is Anthropogenic Climate Change Playing a Role?

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Cited by 26 publications
(25 citation statements)
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References 18 publications
(12 reference statements)
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“…Further disentangling the contributions from greenhouse gases (GHG) and other anthropogenic forcings, specifically aerosols, would improve understanding of the attribution outcome (e.g., Rimi et al 2019;Kumari et al 2019). Despite the lack of separate forcing experiments from HadGEM3-A, we suspect that the weakening of the EASM and persistent heavy rainfalls due to anthropogenic forcings is largely induced by aerosols.…”
Section: Resultsmentioning
confidence: 99%
“…Further disentangling the contributions from greenhouse gases (GHG) and other anthropogenic forcings, specifically aerosols, would improve understanding of the attribution outcome (e.g., Rimi et al 2019;Kumari et al 2019). Despite the lack of separate forcing experiments from HadGEM3-A, we suspect that the weakening of the EASM and persistent heavy rainfalls due to anthropogenic forcings is largely induced by aerosols.…”
Section: Resultsmentioning
confidence: 99%
“…Both ENSO and IO SSTA are recognized as two major drivers of monsoon precipitation variability, interannually in South Asia (Khandu et al 2017) and subseasonally in Bangladesh (Rimi et al 2018). Here, considering both oceanic phenomena as potentially triggering interannual and seasonal rainfall anomaly fluctuations, the linkage between ENSO and IO phases and monsoon onset and withdrawal was explored.…”
Section: Assessing Interannual Variability and Teleconnections With Sstmentioning
confidence: 99%
“…This property of RCMs can lead to model biases in the local atmospheric circulation and precipitation. Using large ensembles of RCM simulations, Lucas-Picher et al (2011), Nowreen et al (2015), and Rimi et al (2019) showed that there are significant dry biases present all over Bangladesh with maximum bias over the northeast and southeast regions. A study conducted by Nazrul Islam et al (2008) found that an RCM overestimated precipitation in the pre-monsoon and winter seasons.…”
mentioning
confidence: 99%