Observed changes in summer thermal discomfort over Indian region during 1990–2020
Abstract In the scenario of global warming and climate change, human thermal discomfort is about to rise. A rise in human thermal discomfort will undermine human health and well-being. It will also undermine labour productivity (as workers have to reduce work intensity and take longer breaks from wo...
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| Autor*in: |
Naskar, Pravat Rabi [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Schlagwörter: |
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| Anmerkung: |
© Indian Academy of Sciences 2023 |
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| Übergeordnetes Werk: |
Enthalten in: Journal of earth system science - Bangalore : Indian Acad. of Sciences, 1980, 132(2023), 1 vom: 16. Feb. |
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| Übergeordnetes Werk: |
volume:132 ; year:2023 ; number:1 ; day:16 ; month:02 |
| Links: |
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| DOI / URN: |
10.1007/s12040-023-02056-7 |
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SPR049353357 |
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| 520 | |a Abstract In the scenario of global warming and climate change, human thermal discomfort is about to rise. A rise in human thermal discomfort will undermine human health and well-being. It will also undermine labour productivity (as workers have to reduce work intensity and take longer breaks from work to prevent heat stress-related illness and injuries) and boost energy demand (as people will have to use more cooling instruments such as ACs, coolers, fan, etc., to get relief from thermal discomfort). Hence an assessment of spatio-temporal variability of thermal discomfort is necessary to develop a national strategy for the sustainable development of the country under changing climate scenarios. In this study, we have tried to analyze spatio-temporal variations of summertime thermal discomfort in India with the help of the Discomfort Index (DI). To calculate the DI, we have used high resolution (0.25°×0.25°) ERA-5 hourly 2-m air temperature and 2-m dewpoint temperature data. It is seen that March is the month of minimum discomfort and June is the month of maximum discomfort. In June, maximum discomfort occurs in the western region. The east coastal region and western region of India, particularly Rajasthan, experience maximum discomfort in terms of severity and prolonged discomfort hours. We have also calculated trends in DI, RH and temperature over the Indian region for March to June and observed a generally increasing trend with some spatial variations across India. It is also observed that the DI trend is more prominent in the western region in March and April, the southern region in May and the eastern region in June. We have also calculated the diurnal variations of thermal discomfort and the number of days with DI greater than 27°C and 29°C for different regions. It is observed that in most of the regions, DI reaches its peak around 09–10Z. Except for the north region, most of the regions show increasing trends in the number of discomfort days in April, May and June. | ||
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10.1007/s12040-023-02056-7 doi (DE-627)SPR049353357 (SPR)s12040-023-02056-7-e DE-627 ger DE-627 rakwb eng Naskar, Pravat Rabi verfasserin (orcid)0000-0003-1775-5111 aut Observed changes in summer thermal discomfort over Indian region during 1990–2020 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Indian Academy of Sciences 2023 Abstract In the scenario of global warming and climate change, human thermal discomfort is about to rise. A rise in human thermal discomfort will undermine human health and well-being. It will also undermine labour productivity (as workers have to reduce work intensity and take longer breaks from work to prevent heat stress-related illness and injuries) and boost energy demand (as people will have to use more cooling instruments such as ACs, coolers, fan, etc., to get relief from thermal discomfort). Hence an assessment of spatio-temporal variability of thermal discomfort is necessary to develop a national strategy for the sustainable development of the country under changing climate scenarios. In this study, we have tried to analyze spatio-temporal variations of summertime thermal discomfort in India with the help of the Discomfort Index (DI). To calculate the DI, we have used high resolution (0.25°×0.25°) ERA-5 hourly 2-m air temperature and 2-m dewpoint temperature data. It is seen that March is the month of minimum discomfort and June is the month of maximum discomfort. In June, maximum discomfort occurs in the western region. The east coastal region and western region of India, particularly Rajasthan, experience maximum discomfort in terms of severity and prolonged discomfort hours. We have also calculated trends in DI, RH and temperature over the Indian region for March to June and observed a generally increasing trend with some spatial variations across India. It is also observed that the DI trend is more prominent in the western region in March and April, the southern region in May and the eastern region in June. We have also calculated the diurnal variations of thermal discomfort and the number of days with DI greater than 27°C and 29°C for different regions. It is observed that in most of the regions, DI reaches its peak around 09–10Z. Except for the north region, most of the regions show increasing trends in the number of discomfort days in April, May and June. Heat stress (dpeaa)DE-He213 thermal discomfort (dpeaa)DE-He213 discomfort index (dpeaa)DE-He213 ERA5 (dpeaa)DE-He213 India (dpeaa)DE-He213 Pattanaik, Dushmanta Ranjan aut Enthalten in Journal of earth system science Bangalore : Indian Acad. of Sciences, 1980 132(2023), 1 vom: 16. Feb. (DE-627)349877327 (DE-600)2081712-5 0973-774X nnns volume:132 year:2023 number:1 day:16 month:02 https://dx.doi.org/10.1007/s12040-023-02056-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 132 2023 1 16 02 |
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10.1007/s12040-023-02056-7 doi (DE-627)SPR049353357 (SPR)s12040-023-02056-7-e DE-627 ger DE-627 rakwb eng Naskar, Pravat Rabi verfasserin (orcid)0000-0003-1775-5111 aut Observed changes in summer thermal discomfort over Indian region during 1990–2020 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Indian Academy of Sciences 2023 Abstract In the scenario of global warming and climate change, human thermal discomfort is about to rise. A rise in human thermal discomfort will undermine human health and well-being. It will also undermine labour productivity (as workers have to reduce work intensity and take longer breaks from work to prevent heat stress-related illness and injuries) and boost energy demand (as people will have to use more cooling instruments such as ACs, coolers, fan, etc., to get relief from thermal discomfort). Hence an assessment of spatio-temporal variability of thermal discomfort is necessary to develop a national strategy for the sustainable development of the country under changing climate scenarios. In this study, we have tried to analyze spatio-temporal variations of summertime thermal discomfort in India with the help of the Discomfort Index (DI). To calculate the DI, we have used high resolution (0.25°×0.25°) ERA-5 hourly 2-m air temperature and 2-m dewpoint temperature data. It is seen that March is the month of minimum discomfort and June is the month of maximum discomfort. In June, maximum discomfort occurs in the western region. The east coastal region and western region of India, particularly Rajasthan, experience maximum discomfort in terms of severity and prolonged discomfort hours. We have also calculated trends in DI, RH and temperature over the Indian region for March to June and observed a generally increasing trend with some spatial variations across India. It is also observed that the DI trend is more prominent in the western region in March and April, the southern region in May and the eastern region in June. We have also calculated the diurnal variations of thermal discomfort and the number of days with DI greater than 27°C and 29°C for different regions. It is observed that in most of the regions, DI reaches its peak around 09–10Z. Except for the north region, most of the regions show increasing trends in the number of discomfort days in April, May and June. Heat stress (dpeaa)DE-He213 thermal discomfort (dpeaa)DE-He213 discomfort index (dpeaa)DE-He213 ERA5 (dpeaa)DE-He213 India (dpeaa)DE-He213 Pattanaik, Dushmanta Ranjan aut Enthalten in Journal of earth system science Bangalore : Indian Acad. of Sciences, 1980 132(2023), 1 vom: 16. Feb. (DE-627)349877327 (DE-600)2081712-5 0973-774X nnns volume:132 year:2023 number:1 day:16 month:02 https://dx.doi.org/10.1007/s12040-023-02056-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 132 2023 1 16 02 |
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10.1007/s12040-023-02056-7 doi (DE-627)SPR049353357 (SPR)s12040-023-02056-7-e DE-627 ger DE-627 rakwb eng Naskar, Pravat Rabi verfasserin (orcid)0000-0003-1775-5111 aut Observed changes in summer thermal discomfort over Indian region during 1990–2020 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Indian Academy of Sciences 2023 Abstract In the scenario of global warming and climate change, human thermal discomfort is about to rise. A rise in human thermal discomfort will undermine human health and well-being. It will also undermine labour productivity (as workers have to reduce work intensity and take longer breaks from work to prevent heat stress-related illness and injuries) and boost energy demand (as people will have to use more cooling instruments such as ACs, coolers, fan, etc., to get relief from thermal discomfort). Hence an assessment of spatio-temporal variability of thermal discomfort is necessary to develop a national strategy for the sustainable development of the country under changing climate scenarios. In this study, we have tried to analyze spatio-temporal variations of summertime thermal discomfort in India with the help of the Discomfort Index (DI). To calculate the DI, we have used high resolution (0.25°×0.25°) ERA-5 hourly 2-m air temperature and 2-m dewpoint temperature data. It is seen that March is the month of minimum discomfort and June is the month of maximum discomfort. In June, maximum discomfort occurs in the western region. The east coastal region and western region of India, particularly Rajasthan, experience maximum discomfort in terms of severity and prolonged discomfort hours. We have also calculated trends in DI, RH and temperature over the Indian region for March to June and observed a generally increasing trend with some spatial variations across India. It is also observed that the DI trend is more prominent in the western region in March and April, the southern region in May and the eastern region in June. We have also calculated the diurnal variations of thermal discomfort and the number of days with DI greater than 27°C and 29°C for different regions. It is observed that in most of the regions, DI reaches its peak around 09–10Z. Except for the north region, most of the regions show increasing trends in the number of discomfort days in April, May and June. Heat stress (dpeaa)DE-He213 thermal discomfort (dpeaa)DE-He213 discomfort index (dpeaa)DE-He213 ERA5 (dpeaa)DE-He213 India (dpeaa)DE-He213 Pattanaik, Dushmanta Ranjan aut Enthalten in Journal of earth system science Bangalore : Indian Acad. of Sciences, 1980 132(2023), 1 vom: 16. Feb. (DE-627)349877327 (DE-600)2081712-5 0973-774X nnns volume:132 year:2023 number:1 day:16 month:02 https://dx.doi.org/10.1007/s12040-023-02056-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 132 2023 1 16 02 |
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10.1007/s12040-023-02056-7 doi (DE-627)SPR049353357 (SPR)s12040-023-02056-7-e DE-627 ger DE-627 rakwb eng Naskar, Pravat Rabi verfasserin (orcid)0000-0003-1775-5111 aut Observed changes in summer thermal discomfort over Indian region during 1990–2020 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Indian Academy of Sciences 2023 Abstract In the scenario of global warming and climate change, human thermal discomfort is about to rise. A rise in human thermal discomfort will undermine human health and well-being. It will also undermine labour productivity (as workers have to reduce work intensity and take longer breaks from work to prevent heat stress-related illness and injuries) and boost energy demand (as people will have to use more cooling instruments such as ACs, coolers, fan, etc., to get relief from thermal discomfort). Hence an assessment of spatio-temporal variability of thermal discomfort is necessary to develop a national strategy for the sustainable development of the country under changing climate scenarios. In this study, we have tried to analyze spatio-temporal variations of summertime thermal discomfort in India with the help of the Discomfort Index (DI). To calculate the DI, we have used high resolution (0.25°×0.25°) ERA-5 hourly 2-m air temperature and 2-m dewpoint temperature data. It is seen that March is the month of minimum discomfort and June is the month of maximum discomfort. In June, maximum discomfort occurs in the western region. The east coastal region and western region of India, particularly Rajasthan, experience maximum discomfort in terms of severity and prolonged discomfort hours. We have also calculated trends in DI, RH and temperature over the Indian region for March to June and observed a generally increasing trend with some spatial variations across India. It is also observed that the DI trend is more prominent in the western region in March and April, the southern region in May and the eastern region in June. We have also calculated the diurnal variations of thermal discomfort and the number of days with DI greater than 27°C and 29°C for different regions. It is observed that in most of the regions, DI reaches its peak around 09–10Z. Except for the north region, most of the regions show increasing trends in the number of discomfort days in April, May and June. Heat stress (dpeaa)DE-He213 thermal discomfort (dpeaa)DE-He213 discomfort index (dpeaa)DE-He213 ERA5 (dpeaa)DE-He213 India (dpeaa)DE-He213 Pattanaik, Dushmanta Ranjan aut Enthalten in Journal of earth system science Bangalore : Indian Acad. of Sciences, 1980 132(2023), 1 vom: 16. Feb. (DE-627)349877327 (DE-600)2081712-5 0973-774X nnns volume:132 year:2023 number:1 day:16 month:02 https://dx.doi.org/10.1007/s12040-023-02056-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 132 2023 1 16 02 |
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10.1007/s12040-023-02056-7 doi (DE-627)SPR049353357 (SPR)s12040-023-02056-7-e DE-627 ger DE-627 rakwb eng Naskar, Pravat Rabi verfasserin (orcid)0000-0003-1775-5111 aut Observed changes in summer thermal discomfort over Indian region during 1990–2020 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Indian Academy of Sciences 2023 Abstract In the scenario of global warming and climate change, human thermal discomfort is about to rise. A rise in human thermal discomfort will undermine human health and well-being. It will also undermine labour productivity (as workers have to reduce work intensity and take longer breaks from work to prevent heat stress-related illness and injuries) and boost energy demand (as people will have to use more cooling instruments such as ACs, coolers, fan, etc., to get relief from thermal discomfort). Hence an assessment of spatio-temporal variability of thermal discomfort is necessary to develop a national strategy for the sustainable development of the country under changing climate scenarios. In this study, we have tried to analyze spatio-temporal variations of summertime thermal discomfort in India with the help of the Discomfort Index (DI). To calculate the DI, we have used high resolution (0.25°×0.25°) ERA-5 hourly 2-m air temperature and 2-m dewpoint temperature data. It is seen that March is the month of minimum discomfort and June is the month of maximum discomfort. In June, maximum discomfort occurs in the western region. The east coastal region and western region of India, particularly Rajasthan, experience maximum discomfort in terms of severity and prolonged discomfort hours. We have also calculated trends in DI, RH and temperature over the Indian region for March to June and observed a generally increasing trend with some spatial variations across India. It is also observed that the DI trend is more prominent in the western region in March and April, the southern region in May and the eastern region in June. We have also calculated the diurnal variations of thermal discomfort and the number of days with DI greater than 27°C and 29°C for different regions. It is observed that in most of the regions, DI reaches its peak around 09–10Z. Except for the north region, most of the regions show increasing trends in the number of discomfort days in April, May and June. Heat stress (dpeaa)DE-He213 thermal discomfort (dpeaa)DE-He213 discomfort index (dpeaa)DE-He213 ERA5 (dpeaa)DE-He213 India (dpeaa)DE-He213 Pattanaik, Dushmanta Ranjan aut Enthalten in Journal of earth system science Bangalore : Indian Acad. of Sciences, 1980 132(2023), 1 vom: 16. Feb. (DE-627)349877327 (DE-600)2081712-5 0973-774X nnns volume:132 year:2023 number:1 day:16 month:02 https://dx.doi.org/10.1007/s12040-023-02056-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 132 2023 1 16 02 |
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A rise in human thermal discomfort will undermine human health and well-being. It will also undermine labour productivity (as workers have to reduce work intensity and take longer breaks from work to prevent heat stress-related illness and injuries) and boost energy demand (as people will have to use more cooling instruments such as ACs, coolers, fan, etc., to get relief from thermal discomfort). Hence an assessment of spatio-temporal variability of thermal discomfort is necessary to develop a national strategy for the sustainable development of the country under changing climate scenarios. In this study, we have tried to analyze spatio-temporal variations of summertime thermal discomfort in India with the help of the Discomfort Index (DI). To calculate the DI, we have used high resolution (0.25°×0.25°) ERA-5 hourly 2-m air temperature and 2-m dewpoint temperature data. It is seen that March is the month of minimum discomfort and June is the month of maximum discomfort. In June, maximum discomfort occurs in the western region. The east coastal region and western region of India, particularly Rajasthan, experience maximum discomfort in terms of severity and prolonged discomfort hours. We have also calculated trends in DI, RH and temperature over the Indian region for March to June and observed a generally increasing trend with some spatial variations across India. It is also observed that the DI trend is more prominent in the western region in March and April, the southern region in May and the eastern region in June. We have also calculated the diurnal variations of thermal discomfort and the number of days with DI greater than 27°C and 29°C for different regions. It is observed that in most of the regions, DI reaches its peak around 09–10Z. 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Naskar, Pravat Rabi |
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Naskar, Pravat Rabi misc Heat stress misc thermal discomfort misc discomfort index misc ERA5 misc India Observed changes in summer thermal discomfort over Indian region during 1990–2020 |
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Observed changes in summer thermal discomfort over Indian region during 1990–2020 Heat stress (dpeaa)DE-He213 thermal discomfort (dpeaa)DE-He213 discomfort index (dpeaa)DE-He213 ERA5 (dpeaa)DE-He213 India (dpeaa)DE-He213 |
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observed changes in summer thermal discomfort over indian region during 1990–2020 |
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Observed changes in summer thermal discomfort over Indian region during 1990–2020 |
| abstract |
Abstract In the scenario of global warming and climate change, human thermal discomfort is about to rise. A rise in human thermal discomfort will undermine human health and well-being. It will also undermine labour productivity (as workers have to reduce work intensity and take longer breaks from work to prevent heat stress-related illness and injuries) and boost energy demand (as people will have to use more cooling instruments such as ACs, coolers, fan, etc., to get relief from thermal discomfort). Hence an assessment of spatio-temporal variability of thermal discomfort is necessary to develop a national strategy for the sustainable development of the country under changing climate scenarios. In this study, we have tried to analyze spatio-temporal variations of summertime thermal discomfort in India with the help of the Discomfort Index (DI). To calculate the DI, we have used high resolution (0.25°×0.25°) ERA-5 hourly 2-m air temperature and 2-m dewpoint temperature data. It is seen that March is the month of minimum discomfort and June is the month of maximum discomfort. In June, maximum discomfort occurs in the western region. The east coastal region and western region of India, particularly Rajasthan, experience maximum discomfort in terms of severity and prolonged discomfort hours. We have also calculated trends in DI, RH and temperature over the Indian region for March to June and observed a generally increasing trend with some spatial variations across India. It is also observed that the DI trend is more prominent in the western region in March and April, the southern region in May and the eastern region in June. We have also calculated the diurnal variations of thermal discomfort and the number of days with DI greater than 27°C and 29°C for different regions. It is observed that in most of the regions, DI reaches its peak around 09–10Z. Except for the north region, most of the regions show increasing trends in the number of discomfort days in April, May and June. © Indian Academy of Sciences 2023 |
| abstractGer |
Abstract In the scenario of global warming and climate change, human thermal discomfort is about to rise. A rise in human thermal discomfort will undermine human health and well-being. It will also undermine labour productivity (as workers have to reduce work intensity and take longer breaks from work to prevent heat stress-related illness and injuries) and boost energy demand (as people will have to use more cooling instruments such as ACs, coolers, fan, etc., to get relief from thermal discomfort). Hence an assessment of spatio-temporal variability of thermal discomfort is necessary to develop a national strategy for the sustainable development of the country under changing climate scenarios. In this study, we have tried to analyze spatio-temporal variations of summertime thermal discomfort in India with the help of the Discomfort Index (DI). To calculate the DI, we have used high resolution (0.25°×0.25°) ERA-5 hourly 2-m air temperature and 2-m dewpoint temperature data. It is seen that March is the month of minimum discomfort and June is the month of maximum discomfort. In June, maximum discomfort occurs in the western region. The east coastal region and western region of India, particularly Rajasthan, experience maximum discomfort in terms of severity and prolonged discomfort hours. We have also calculated trends in DI, RH and temperature over the Indian region for March to June and observed a generally increasing trend with some spatial variations across India. It is also observed that the DI trend is more prominent in the western region in March and April, the southern region in May and the eastern region in June. We have also calculated the diurnal variations of thermal discomfort and the number of days with DI greater than 27°C and 29°C for different regions. It is observed that in most of the regions, DI reaches its peak around 09–10Z. Except for the north region, most of the regions show increasing trends in the number of discomfort days in April, May and June. © Indian Academy of Sciences 2023 |
| abstract_unstemmed |
Abstract In the scenario of global warming and climate change, human thermal discomfort is about to rise. A rise in human thermal discomfort will undermine human health and well-being. It will also undermine labour productivity (as workers have to reduce work intensity and take longer breaks from work to prevent heat stress-related illness and injuries) and boost energy demand (as people will have to use more cooling instruments such as ACs, coolers, fan, etc., to get relief from thermal discomfort). Hence an assessment of spatio-temporal variability of thermal discomfort is necessary to develop a national strategy for the sustainable development of the country under changing climate scenarios. In this study, we have tried to analyze spatio-temporal variations of summertime thermal discomfort in India with the help of the Discomfort Index (DI). To calculate the DI, we have used high resolution (0.25°×0.25°) ERA-5 hourly 2-m air temperature and 2-m dewpoint temperature data. It is seen that March is the month of minimum discomfort and June is the month of maximum discomfort. In June, maximum discomfort occurs in the western region. The east coastal region and western region of India, particularly Rajasthan, experience maximum discomfort in terms of severity and prolonged discomfort hours. We have also calculated trends in DI, RH and temperature over the Indian region for March to June and observed a generally increasing trend with some spatial variations across India. It is also observed that the DI trend is more prominent in the western region in March and April, the southern region in May and the eastern region in June. We have also calculated the diurnal variations of thermal discomfort and the number of days with DI greater than 27°C and 29°C for different regions. It is observed that in most of the regions, DI reaches its peak around 09–10Z. Except for the north region, most of the regions show increasing trends in the number of discomfort days in April, May and June. © Indian Academy of Sciences 2023 |
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Observed changes in summer thermal discomfort over Indian region during 1990–2020 |
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Pattanaik, Dushmanta Ranjan |
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10.1007/s12040-023-02056-7 |
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2024-07-04T00:28:05.735Z |
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| score |
7.400341 |