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Increase in Spatial Spread of Extreme Warm Day Temperature Events: Regional to National Perspective for India (1951–2014)


Affiliations
1 Division of Agricultural Physics, Indian Agricultural Research Institute, New Delhi 110 012, India
2 Division of Design of Experiments, Indian Agricultural Statistics Research Institute, Library Avenue, Pusa, New Delhi 110 012, India
 

This study analysed gridded temperature dataset for last six decades over India and its different agroclimatic zones to determine the changes in land area affected by extreme warm day temperatures. The results indicated an unequivocal increase in the area influenced by different levels of extreme warm days over the country; the rate was significantly higher during the last three decades. The increase in land area affected by extreme-of-extreme temperature events occurred at a higher rate compared to the lowfrequency extremes. Statistical tests indicated clear change in the probability distribution of the land area affected by extremes, signifying that comparatively high-frequency extremes are occurring over larger areas. The results showed regional dissimilarity, with five agro-climatic zones (ACZ-02, 09, 10, 11, 12) showing increase in land area under most levels of extremes, and three agro-climate zones (ACZ-08, 13, 14) showing increase in land area for a few extreme levels.

Keywords

Climate Change, Extreme Temperature, Warm Days, Land Area, Trend Analysis.
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  • Klein Tank, A. M. G. et al., Changes in daily temperature and precipitation extremes in central and south Asia. J. Geophys. Res.: Atmosph., 2006, 111(D1605), 1–8.
  • IPCC, Summary for policymakers. In Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (eds Stocker, T. F. et al.), Cambridge University Press, Cambridge, UK, 2013..
  • Frich, P., Alexander, L. V., Della-Marta, P., Gleason, B., Haylock, M., Klein Tank, A. M. G. and Peterson, T., Observed coherent changes in climatic extremes during the second half of the twentieth century. Climate Res., 2002, 19, 193–212.
  • Alexander, L. V. et al., Global observed changes in daily climate extremes of temperature and precipitation. J. Geophys. Res.: Atmosph., 2006, 111(D05109), 1–22.
  • Liu, B., Xu, M., Henderson, M. and Qi, Y., Observed trends of precipitation amount, frequency, and intensity in China, 1960– 2000. J. Geophys. Res.: Atmosp., 2005, 110(D08103), 1–10.
  • Rao, G. S. P., Murty, M. K., Joshi, U. R. and Thapliyal, V. , Climate change over India as revealed by critical extreme temperature analysis. Mausam, 2005, 56(3), 601.
  • Kothawale, D. R., Revadekar, J. V. and Kumar, K. R., Recent trends in pre-monsoon daily temperature extremes over India. J. Earth Syst. Sci., 2010, 119(1), 51–65.
  • Dash, S. K. and Mamgain, A., Changes in the frequency of different categories of temperature extremes in India. J. Appl. Meteorol. Climatol., 2011, 50(9), 1842–1858.
  • Panda, D. K., Mishra, A., Kumar, A., Mandal, K. G., Thakur, A. K. and Srivastava, R. C., Spatiotemporal patterns in the mean and extreme temperature indices of India, 1971–2005. Int. J. Climatol., 2014, 34(13), 3585–3603.
  • http://www.climatecentral.org/gallery/graphics/the-10-hottest-years-on-record (accessed on 6 March 2017).
  • Khanna, S. S., The agro-climatic approach. In Survey of Indian Agriculture, The Hindu, Madras, 1989, pp. 28–35.
  • Srivastava, A. K., Rajeevan, M. and Kshirsagar, S. R., Development of a high resolution daily gridded temperature data set (1969–2005) for the Indian region. Atmosph. Sci. Lett., 2009, 10(4), 249–254.
  • Ratnam, J. V., Behera, S. K., Ratna, S. B., Rajeevan, M. and Yamagata, T., Anatomy of Indian heat waves. Sci. Rep., 2016, 6(24395), 1–11.
  • Klein Tank, A. M. G., Zwiers, F. W. and Zhang, X., Guidelines on ‘Analysis of extremes in a changing climate in support of informed decisions for adaptation’, WMO TD1500, World Meteorological Organization, 2009, p. 54.
  • Sen Roy, S. and Balling, R. C., Trends in extreme daily precipitation indices in India. Int. J. Climatol., 2004, 24(4), 457–466.
  • Seneviratne, S. I., Donat, M. G., Mueller, B. and Alexander, L. V., No pause in the increase of hot temperature extremes. Nature Climate Change, 2014, 4(3), 161–163.
  • Jain, S. K. and Kumar, V., Trend analysis of rainfall and temperature data for India. Curr. Sci., 2012, 102(1), 37–49.
  • Partal, T. and Kahya, E., Trend analysis in Turkish precipitation data. Hydrol. Process., 2006, 20, 2011–2026.
  • Jaiswal, R. K., Lohani, A. K. and Tiwari, H. L., Statistical analysis for change detection and trend assessment in climatological parameters, Environ. Processes., 2015, 2(4), 729–749.
  • Pettitt, A. N., A non-parametric approach to the change point problem. J. Appl. Stat., 1979, 28(2), 126–135.
  • Zarenistanak, M., Dhorde, A. G. and Kripalani, R. H., Trend analysis and change point detection of annual and seasonal precipitation and temperature series over southwest Iran. J. Earth. Syst. Sci., 2014, 123(2), 281–295.
  • Costa, A. C. and Soares, A., Homogenization of climate data: review and new perspectives using geostatistics. Math. Geosci., 2009, 41(3), 291–305.
  • De Filippo, C. et al., Impact of diet in shaping gut microbiota revealed by a comparative study in children from Europe and rural Africa. Proc. Natl. Acad. Sci. USA, 2010, 107(33), 14691–14696.
  • Harley, C. D., Climate change, keystone predation, and biodiversity loss. Science, 2011, 334(6059), 1124–1127.
  • Centola, D., The spread of behavior in an online social network experiment. Science, 2010, 329(5996), 1194–1197.
  • R Core Team. R: A language and environment for statistical computing, R Foundation for Statistical Computing, Vienna, Austria, 2017; https://www.R-project.org/
  • RStudio Team, RStudio: Integrated Development for R. RStudio, Inc., Boston, MA, USA, 2015; http://www.rstudio.com/
  • Hingane, L. S., Rupa Kumar, K. and Ramana Murty, B. V., Long‐term trends of surface air temperature in India. J. Climatol., 1985, 5(5), 521–528.

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  • Increase in Spatial Spread of Extreme Warm Day Temperature Events: Regional to National Perspective for India (1951–2014)

Abstract Views: 366  |  PDF Views: 122

Authors

Debasish Chakraborty
Division of Agricultural Physics, Indian Agricultural Research Institute, New Delhi 110 012, India
Vinay Kumar Sehgal
Division of Agricultural Physics, Indian Agricultural Research Institute, New Delhi 110 012, India
Rajkumar Dhakar
Division of Agricultural Physics, Indian Agricultural Research Institute, New Delhi 110 012, India
Eldho Varghese
Division of Design of Experiments, Indian Agricultural Statistics Research Institute, Library Avenue, Pusa, New Delhi 110 012, India
Deb Kumar Das
Division of Agricultural Physics, Indian Agricultural Research Institute, New Delhi 110 012, India

Abstract


This study analysed gridded temperature dataset for last six decades over India and its different agroclimatic zones to determine the changes in land area affected by extreme warm day temperatures. The results indicated an unequivocal increase in the area influenced by different levels of extreme warm days over the country; the rate was significantly higher during the last three decades. The increase in land area affected by extreme-of-extreme temperature events occurred at a higher rate compared to the lowfrequency extremes. Statistical tests indicated clear change in the probability distribution of the land area affected by extremes, signifying that comparatively high-frequency extremes are occurring over larger areas. The results showed regional dissimilarity, with five agro-climatic zones (ACZ-02, 09, 10, 11, 12) showing increase in land area under most levels of extremes, and three agro-climate zones (ACZ-08, 13, 14) showing increase in land area for a few extreme levels.

Keywords


Climate Change, Extreme Temperature, Warm Days, Land Area, Trend Analysis.

References





DOI: https://doi.org/10.18520/cs%2Fv118%2Fi12%2F1930-1938