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District-wide drought climatology of the southwest monsoon season over India based on standardized precipitation index (SPI)

Author

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  • D. Pai
  • Latha Sridhar
  • Pulak Guhathakurta
  • H. Hatwar

Abstract

District-wide drought climatology over India for the southwest monsoon season (June–September) has been examined using two simple drought indices; Percent of Normal Precipitation (PNP) and Standardized Precipitation Index (SPI). The season drought indices were computed using long times series (1901–2003) of southwest monsoon season rainfall data of 458 districts over the country. Identification of all India (nation-wide) drought incidences using both PNP and SPI yielded nearly similar results. However, the district-wide climatology based on PNP was biased by the aridity of the region. Whereas district-wide drought climatology based on SPI was not biased by aridity. This study shows that SPI is a better drought index than PNP for the district-wide drought monitoring over the country. SPI is also suitable for examining break and active events in the southwest monsoon rainfall over the country. The trend analysis of district-wide season (June–September) SPI series showed significant negative trends over several districts from Chattisgarh, Bihar, Kerala, Jharkhand, Assam and Meghalaya, Uttaranchal, east Madhya Pradesh, Vidarbha etc., Whereas significant positive trends in the SPI series were observed over several districts from west Uttar Pradesh, west Madhya Pradesh, South & north Interior Karnataka, Konkan and Goa, Madhya Maharashtra, Tamil Nadu, East Uttar Pradesh, Punjab, Gujarat etc. Copyright Springer Science+Business Media B.V. 2011

Suggested Citation

  • D. Pai & Latha Sridhar & Pulak Guhathakurta & H. Hatwar, 2011. "District-wide drought climatology of the southwest monsoon season over India based on standardized precipitation index (SPI)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 59(3), pages 1797-1813, December.
    • Handle: RePEc:spr:nathaz:v:59:y:2011:i:3:p:1797-1813
    DOI: 10.1007/s11069-011-9867-8
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    Citations

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    Cited by:

    1. Jie Yang & Yimin Wang & Jianxia Chang & Jun Yao & Qiang Huang, 2016. "Integrated assessment for hydrometeorological drought based on Markov chain model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(2), pages 1137-1160, November.
    2. Pravat Jena & K. S. Kasiviswanathan & Sarita Azad, 2020. "Spatiotemporal characteristics of extreme droughts and their association with sea surface temperature over the Cauvery River basin, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(3), pages 2239-2259, December.
    3. Srimanta Ghosh & K. Srinivasan, 2016. "Analysis of Spatio-temporal Characteristics and Regional Frequency of Droughts in the Southern Peninsula of India," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(11), pages 3879-3898, September.
    4. Jincai Zhao & Qianqian Liu & Heli Lu & Zheng Wang & Ke Zhang & Pan Wang, 2021. "Future droughts in China using the standardized precipitation evapotranspiration index (SPEI) under multi-spatial scales," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 109(1), pages 615-636, October.
    5. Sourabh Shrivastava & Sarat C. Kar & A. K. Sahai & Anu Rani Sharma, 2018. "Identification of Drought Occurrences Using Ensemble Predictions up to 20-Days in Advance," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(6), pages 2113-2130, April.
    6. R. Sahoo & Dipanwita Dutta & M. Khanna & N. Kumar & S. Bandyopadhyay, 2015. "Drought assessment in the Dhar and Mewat Districts of India using meteorological, hydrological and remote-sensing derived indices," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(2), pages 733-751, June.
    7. Wang Xiao-jun & Zhang Jian-yun & Shamsuddin Shahid & Amgad ElMahdi & He Rui-min & Bao Zhen-xin & Mahtab Ali, 2012. "Water resources management strategy for adaptation to droughts in China," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 17(8), pages 923-937, December.
    8. J. Duncan & J. Dash & P. Atkinson, 2013. "Analysing temporal trends in the Indian Summer Monsoon and its variability at a fine spatial resolution," Climatic Change, Springer, vol. 117(1), pages 119-131, March.
    9. Bardia Bayat & Mohsen Nasseri & Banafsheh Zahraie, 2015. "Identification of long-term annual pattern of meteorological drought based on spatiotemporal methods: evaluation of different geostatistical approaches," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(1), pages 515-541, March.
    10. Jianping Yang & Chunping Tan & Shijin Wang & Shengxia Wang & Yuan Yang & Hongju Chen, 2015. "Drought Adaptation in the Ningxia Hui Autonomous Region, China: Actions, Planning, Pathways and Barriers," Sustainability, MDPI, vol. 7(11), pages 1-28, November.
    11. P. Vijaya Kumar & Mohammed Osman & P. K. Mishra, 2019. "Development and application of a new drought severity index for categorizing drought-prone areas: a case study of undivided Andhra Pradesh state, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 97(2), pages 793-812, June.
    12. Dilayda Soylu Pekpostalci & Rifat Tur & Ali Danandeh Mehr & Mohammad Amin Vazifekhah Ghaffari & Dominika Dąbrowska & Vahid Nourani, 2023. "Drought Monitoring and Forecasting across Turkey: A Contemporary Review," Sustainability, MDPI, vol. 15(7), pages 1-23, March.
    13. Manish Kumar Goyal & Ashutosh Sharma, 2016. "A fuzzy c-means approach regionalization for analysis of meteorological drought homogeneous regions in western India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(3), pages 1831-1847, December.
    14. D. Chiru Naik & Sagar Rohidas Chavan & P. Sonali, 2023. "Incorporating the climate oscillations in the computation of meteorological drought over India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(3), pages 2617-2646, July.
    15. Omvir Singh & Divya Saini & Pankaj Bhardwaj, 2021. "Characterization of meteorological drought over a dryland ecosystem in north western India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 109(1), pages 785-826, October.

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