2020
DOI: 10.1007/s00382-020-05306-2
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Robust late twenty-first century shift in the regional monsoons in RegCM-CORDEX simulations

Abstract: We use an unprecedented ensemble of regional climate model (RCM) projections over seven regional CORDEX domains to provide, for the first time, an RCM-based global view of monsoon changes at various levels of increased greenhouse gas (GHG) forcing. All regional simulations are conducted using RegCM4 at a 25 km horizontal grid spacing using lateral and lower boundary forcing from three General Circulation Models (GCMs), which are part of the fifth phase of the Coupled Model Inter-comparison Project (CMIP5). Eac… Show more

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Cited by 60 publications
(66 citation statements)
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References 115 publications
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“…Based on the CORDEX-CORE ensemble, increases as well as decreases are projected for the far future, highlighting the large uncertainty for precipitation changes in this region. Additionally, a robust shift in the timing of monsoon is noted, which is attributed to pre-monsoon drying (Ashfaq et al 2020). Similarly, Dash et al (2015) linked the decreases in a previous RegCM experiment to weaker monsoon circulations.…”
Section: Discussionmentioning
confidence: 87%
“…Based on the CORDEX-CORE ensemble, increases as well as decreases are projected for the far future, highlighting the large uncertainty for precipitation changes in this region. Additionally, a robust shift in the timing of monsoon is noted, which is attributed to pre-monsoon drying (Ashfaq et al 2020). Similarly, Dash et al (2015) linked the decreases in a previous RegCM experiment to weaker monsoon circulations.…”
Section: Discussionmentioning
confidence: 87%
“…It is important to note that MTD remains negative in all months in a given year except during summer season. Before the onset of rainy season in South Asia, rate of tropospheric warming in the north exceeds than that in the south due to pre-monsoon precipitation (Ashfaq et al 2017(Ashfaq et al , 2020. As a result, the difference between north and south starts diminishing.…”
Section: Dynamic and Thermodynamic Drivers Of Changes In Precipitationmentioning
confidence: 99%
“…All modified topography experiments exhibit weaker MTD right from the beginning of the summer monsoon season (June 1). It should be noted that pre-monsoon precipitation is mostly convective, which is distributed along the slopes of HKH (Ashfaq et al, 2017), in contrast to the monsoon season where precipitation is widespread and the fraction of stratiform precipitation also increases due to the presence of organized precipitation systems (Ashfaq et al, 2020;Schumacher and Houze, 2003). An obvious impact of the removal of the TP and other elevated surfaces is the entertainment of dry and cold air, which makes conditions inefficient for moist convection.…”
Section: Dynamic and Thermodynamic Drivers Of Changes In Precipitationmentioning
confidence: 99%
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“…An anthropogenic footprint is also detectable in the greater frequency of multivariate extremes, such as droughts (Diffenbaugh et al 2015) and wildfires (Radeloff et al 2018;Abatzoglou and Williams 2016). Studies suggest that continued greenhouse gas emissions will lead to further warming, along with long-term changes in all components of the climate system, increasing the likelihood of widespread and potentially irreversible impacts on social and ecological Published in partnership with CECCR at King Abdulaziz University systems (IPCC 2014;Sillmann et al 2013;Pu et al 2020;Christensen et al 2013;Fischer and Knutti 2016;Easterling et al 2017;Diaconescu et al 2018;Giorgi et al 2018;Moreno et al 2019;Veas-Ayala et al 2018;Oppenheimer et al 2019;Ashfaq et al 2020;Cook et al 2020;Wang et al 2020a, b). These expected changes in climate characteristics will likely intensify the regional hydrological cycle (Ashfaq et al 2013;Naz et al 2016), exacerbate the risk of water stress in the regions where river runoff is dominated by snowmelt (Pagan et al 2016), and increase the population's exposure to climate extremes (Batibeniz et al 2020).…”
Section: Introductionmentioning
confidence: 99%