2018
DOI: 10.1038/s41598-018-35348-w
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A sixfold rise in concurrent day and night-time heatwaves in India under 2 °C warming

Abstract: Heatwaves with severe impacts have increased and projected to become more frequent under warming climate in India. Concurrent day and nighttime heatwaves can exacerbate human discomfort causing high morbidity and mortality; however, their changes in the observed and projected climate remain unrecognized. Here using observations and model simulations from climate of 20th century plus (C20C+) detection and attribution (D&A) and coupled model intercomparison project 5 (CMIP5) projects, we show that 1 and 3-day co… Show more

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Cited by 71 publications
(47 citation statements)
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“…However, this univariate definitional framework, on the one hand, may introduce potential entanglements among types of hot extremes (Oswald & Rood, 2014;Oswald, 2018) and, on the other hand, tends to underestimate impacts exacerbated by coincident/interacted drivers (Fischer & Schär, 2010;Zscheischler et al, 2018). Instead, a bivariate definitional framework, with the extremity of both daytime and nighttime temperatures constrained, is warranted to achieve a genuine nonoverlapping classification consisting of daytime-only, nighttime-only, and combined daytime-nighttime hot extremes (hereafter called combined hot extremes; Chen & Zhai, 2017;Gershunov et al, 2009;Mukherjee & Mishra, 2018;Oswald & Rood, 2014). A case in point is that a univariate constraint for hot days (daily maxima ≥90th percentile), which is intended for extreme daytime temperature only, may lead to an unintended identification of nighttime hot extremes as well, since the constraint fails to eliminate the possibility of threshold-exceeding nighttime minima.…”
Section: 1029/2019ef001202mentioning
confidence: 99%
See 1 more Smart Citation
“…However, this univariate definitional framework, on the one hand, may introduce potential entanglements among types of hot extremes (Oswald & Rood, 2014;Oswald, 2018) and, on the other hand, tends to underestimate impacts exacerbated by coincident/interacted drivers (Fischer & Schär, 2010;Zscheischler et al, 2018). Instead, a bivariate definitional framework, with the extremity of both daytime and nighttime temperatures constrained, is warranted to achieve a genuine nonoverlapping classification consisting of daytime-only, nighttime-only, and combined daytime-nighttime hot extremes (hereafter called combined hot extremes; Chen & Zhai, 2017;Gershunov et al, 2009;Mukherjee & Mishra, 2018;Oswald & Rood, 2014). A case in point is that a univariate constraint for hot days (daily maxima ≥90th percentile), which is intended for extreme daytime temperature only, may lead to an unintended identification of nighttime hot extremes as well, since the constraint fails to eliminate the possibility of threshold-exceeding nighttime minima.…”
Section: 1029/2019ef001202mentioning
confidence: 99%
“…A case in point is that a univariate constraint for hot days (daily maxima ≥90th percentile), which is intended for extreme daytime temperature only, may lead to an unintended identification of nighttime hot extremes as well, since the constraint fails to eliminate the possibility of threshold-exceeding nighttime minima. Instead, a bivariate definitional framework, with the extremity of both daytime and nighttime temperatures constrained, is warranted to achieve a genuine nonoverlapping classification consisting of daytime-only, nighttime-only, and combined daytime-nighttime hot extremes (hereafter called combined hot extremes; Chen & Zhai, 2017;Gershunov et al, 2009;Mukherjee & Mishra, 2018;Oswald & Rood, 2014). These distinct types actually arise from differing thermodynamic-dynamic drivers (Barbier et al, 2018;Cowan et al, 2017;Freychet et al, 2017;Ma et al, 2015), show type-specific responses to global warming Fischer & Schär, 2010), and hold varying levels of impact relevance to various sectors (Gosling et al, 2009;Karl & Knight, 1997;Nairn & Fawcett, 2013;Robinson, 2001).…”
Section: 1029/2019ef001202mentioning
confidence: 99%
“…In a warming climate, increasingly frequent and intense hot extremes have been reported globally with strong evidence pointing to a large contribution from anthropogenic warming [5][6][7][8] . Severe damage comes from sequential occurrences of hot day and hot night within 24 h, which accumulate and aggravate adverse impacts of daytime and nighttime heat on various sectors 9,10 . Some studies considered both diurnal and nocturnal temperatures, for instance using daily mean temperature as a measurement 11,12 .…”
mentioning
confidence: 99%
“…Long observational records reveal a significant increasing trend in the mean (0.48 °C), minimum (0.22 °C), and maximum (0.74 °C) temperatures over India during 1901India during -2003 18 . In recent decades, India has been considerably affected by hot extremes that killed more than thousands of people in the years 1998, 2010, 2013, and 2015 [20][21][22] . The station data over India shows an increasing trend in the frequency of hot days (especially over the eastern and western coasts as well as over the interior peninsula) 23 and a widespread increase in the intensity of those events (i.e., out of 121 stations considered, 70% of stations illustrate an increasing trend) during the last three decades of the 20 th century 24 .…”
mentioning
confidence: 99%