Analysis of heatwave characteristics under climate change over three highly populated cities of South India: a CMIP6-based assessment

Nandi, Saswata; Swain, Sarat Chandra

doi:10.1007/s11356-022-22398-x

Cited by 24 publications

(11 citation statements)

References 56 publications

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“…Overall in a nutshell, the extreme temperature over all the seasons is projected to increase across India at an almost similar rate as of mean or sometimes even more pronounced rate, which is definitely a bigger point of concern due to its direct association with heatwaves and other related hazards. For instance, a recent study by Nandi and Swain (2022) has indicated an escalation in the frequency and duration of heatwaves in three densely populated cities in southern India, which can be ascribed to the projected rise in extreme temperatures. Similarly, findings by Rao et al (2023) have revealed an upward trend in various heatwave attributes, predominantly in India's northwest, central and south peninsular regions—precisely where our present study also anticipates increased extreme temperature conditions.…”

Section: Resultsmentioning

confidence: 99%

Unveiling climate change‐induced temperature‐based hotspots across India through multimodel future analysis from CMIP6

Sarkar,

Maity

2024

Intl Journal of Climatology

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Global warming and associated climate change impacts have posed major threats to this 21st century's world, especially for developing countries like India, given various socio‐economic factors. Considering the extensive spatial diversity of this warming‐induced climate changes, suitable region‐specific strategies must be adopted to combat its potential implications. Therefore, it becomes crucial to identify the places most exposed to this changing scenario. This study attempts to shed some light towards this by identifying futuristic “temperature‐based hotspots” across India through a comprehensive multimodel multiscenario analysis at various spatiotemporal scales. A new and more informative index named “Temperature‐based Hotspot Index (THIn)” is proposed for this purpose, which encapsulates various attributes of changing temperature, including its mean, variability and extremes (magnitude, frequency and severity) into a single metric. Bias‐corrected future‐projected temperature data from 14 state‐of‐the‐art general circulation models (GCMs) have been considered for the analysis, which are participating in the coupled model intercomparison project version 6 (CMIP6). The overall analysis identifies temperature‐based hotspots to span predominantly in the west, north and northeast parts of the country. On the other hand, the southern and eastern part of India along the eastern coast are found to be comparatively less exposed to temperature changes in future. Overall, we expect the findings of this study to be beneficial to plan and adopt suitable region‐specific management strategies to combat the challenging future in sufficient advance.

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Section: Resultsmentioning

confidence: 99%

Unveiling climate change‐induced temperature‐based hotspots across India through multimodel future analysis from CMIP6

Sarkar,

Maity

2024

Intl Journal of Climatology

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“…Another study focusing on the projected heat waves in South Indian cities using CMIP predicted severe heat waves in the region (Nandi and Swain, 2022). Moreover, other research highlights extreme heat events (EHE) in Ahmedabad, it experienced severe heat waves in 2010 and 2016, recorded temperatures of 50 • C .…”

Section: Heat Waves and Cold Wavesmentioning

confidence: 99%

Navigating the impact of climate change in India: a perspective on climate action (SDG13) and sustainable cities and communities (SDG11)

Hussain,

Saxena

et al. 2024

Front. Sustain. Cities

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Climate change is a global concern of the current century. Its rapid escalation and ever-increasing intensity have been felt worldwide, leading to dramatic impacts globally. The aftermath of climate change in India has brought about a profound transformation in India's environmental, socio-economic, and urban landscapes. In 2019, India ranked seventh, among the most affected countries by extreme weather events caused due to changing climate. This impact was evident in terms of both, the human toll with 2,267 lives lost, and the economic damage, which accounted for 66,182 million US$ Purchasing power parities (PPPs). Over the recent years, India has experienced a significant increase in the number and frequency of extreme weather events, causing vulnerable communities. The country experienced severe air pollution problems in several metropolitan cities and was highlighted in the list of the world's most polluted cities. Additionally, India has become the most populous nation globally, boasting a population of 1.4 billion people, equating to ~18% of the global population, and experiencing an increased rate of consumption of natural resources. Owing to the country's current scenario, various climate mitigation strategies, including nature-based solutions, must be implemented to reduce such impacts and support India's target of achieving the Sustainable Development Goals (SDGs). This review tries to have a holistic understanding of the effects of climate change on different sectors to identify India's challenges in achieving SDG 13 and SDG 11. Finally, it also highlighted the future recommendations for climate change-related research from an Indian perspective.

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“…The problems will be further added by anthropogenic activities (Swain et al 2018b(Swain et al , 2022a(Swain et al , 2022c. Moreover, climate change leads to several problems like droughts (Swain et al 2017b, 2019b, 2020a, 2020b, 2021c, 2022b, 2022i, 2023), floods (Gupta et al 2021Patel et al 2022), groundwater depletion (Dhal and Swain 2022;Sahoo et al 2021;Swain et al 20222f, 2022j, 2022k, 2022l), heatwaves (Nandi and Swain 2023;Sahoo et al 2022;, and other hydrometeorological and socioeconomic consequences. Considering these issues, assessment of climate change and its impacts is necessary, which requires a precise quantification at first.…”

Section: Introductionmentioning

confidence: 99%

Application of Turning Point Test to Precipitation Time Series over Seonath River Basin, India

Rath,

Yadu,

Verma

et al. 2024

Int. J. Res. Publ. Rev.

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Precipitation is a very important parameter to estimate climate variability. This paper presents an application of Turning point test to seasonal and annual precipitation data for a period of 30 years over Seonath Basin, a major sub-basin of Mahanadi River Basin. The objective of the application of Turning point test is to catch the randomness of the precipitation time series over the study area. The randomness of precipitation data is checked in general before the trend analysis.The precipitation time series possessing more randomness may give misleading results for trend analysis. Considering this issue, the monthly data was collected for 39 stations, which were categorized into 4 seasons of the year i.e. winter, pre-monsoon, monsoon and post-monsoon. The results reveal for almost all the stations showing insignificant randomness for monsoon, post-monsoon and annual precipitation time series. However, in the winter and pre-monsoon seasons, about half of the stations are showing significant randomness.

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Analysis of heatwave characteristics under climate change over three highly populated cities of South India: a CMIP6-based assessment

Cited by 24 publications

References 56 publications

Unveiling climate change‐induced temperature‐based hotspots across India through multimodel future analysis from CMIP6

Unveiling climate change‐induced temperature‐based hotspots across India through multimodel future analysis from CMIP6

Navigating the impact of climate change in India: a perspective on climate action (SDG13) and sustainable cities and communities (SDG11)

Application of Turning Point Test to Precipitation Time Series over Seonath River Basin, India

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