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Volatility in Rainfall and Predictability of Droughts in Northwest Bangladesh

Author

Listed:
  • Mohammad Ahsan Uddin

    (Department of Statistics, Faculty of Science, University of Dhaka, Dhaka 1000, Bangladesh)

  • ASM Maksud Kamal

    (Department of Disaster Science and Management, Faculty of Earth and Environmental Sciences, University of Dhaka, Dhaka 1000, Bangladesh)

  • Shamsuddin Shahid

    (School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru 81310, Malaysia)

  • Eun-Sung Chung

    (Faculty of Civil Engineering, Seoul National University of Science and Technology, Seoul 01811, Korea)

Abstract

This study was conducted to evaluate the variability, trends, volatility, and transition patterns of rainfall in drought-prone northwest Bangladesh. Daily rainfall recorded at five stations for the period 1959–2018 were used for this purpose. Non-parametric tests of variability changes, a modified Mann–Kendall trend test, innovative trend analysis (ITA), a generalized autoregressive conditional heteroscedasticity (GARCH)–jump model, and a Markov chain (MC) were used to assess the variability changes, trends, volatility, and transitions in rainfall to understand the possibility of the persistence of droughts and their predictability. The results showed an overall decrease of variability in annual and seasonal rainfall, but an increase in mean pre-monsoon rainfall and a decrease in mean monsoon rainfall. This caused a decrease in pre-monsoon droughts, but few changes in monsoon droughts. The ITA and rainfall anomaly analysis revealed high temporal variability and, thus, rapid shifts in rainfall regimes, which were also supported by the volatility dynamics and time-varying jumps from the GARCH–jump model and the rapid changes in drought index from the MC analysis. Therefore, the lack of drought in recent years cannot be considered as an indicator of declining droughts in the region.

Suggested Citation

  • Mohammad Ahsan Uddin & ASM Maksud Kamal & Shamsuddin Shahid & Eun-Sung Chung, 2020. "Volatility in Rainfall and Predictability of Droughts in Northwest Bangladesh," Sustainability, MDPI, vol. 12(23), pages 1-20, November.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:23:p:9810-:d:450246
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    References listed on IDEAS

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    1. Mohammed Sanusi Shiru & Shamsuddin Shahid & Noraliani Alias & Eun-Sung Chung, 2018. "Trend Analysis of Droughts during Crop Growing Seasons of Nigeria," Sustainability, MDPI, vol. 10(3), pages 1-13, March.
    2. Femke J. M. M. Nijsse & Peter M. Cox & Chris Huntingford & Mark S. Williamson, 2019. "Decadal global temperature variability increases strongly with climate sensitivity," Nature Climate Change, Nature, vol. 9(8), pages 598-601, August.
    3. Laurent, Sébastien & Rombouts, Jeroen V.K. & Violante, Francesco, 2013. "On loss functions and ranking forecasting performances of multivariate volatility models," Journal of Econometrics, Elsevier, vol. 173(1), pages 1-10.
    4. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    5. Daniel L. Swain & Baird Langenbrunner & J. David Neelin & Alex Hall, 2018. "Increasing precipitation volatility in twenty-first-century California," Nature Climate Change, Nature, vol. 8(5), pages 427-433, May.
    6. Morteza Mohsenipour & Shamsuddin Shahid & Eun-sung Chung & Xiao-jun Wang, 2018. "Changing Pattern of Droughts during Cropping Seasons of Bangladesh," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(5), pages 1555-1568, March.
    7. Jang Hyun Sung & Eun-Sung Chung & Shamsuddin Shahid, 2018. "Reliability–Resiliency–Vulnerability Approach for Drought Analysis in South Korea Using 28 GCMs," Sustainability, MDPI, vol. 10(9), pages 1-16, August.
    8. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    9. Sumaiya Jarin Ahammed & Eun-Sung Chung & Shamsuddin Shahid, 2018. "Parametric Assessment of Pre-Monsoon Agricultural Water Scarcity in Bangladesh," Sustainability, MDPI, vol. 10(3), pages 1-18, March.
    10. Hsin-Fu Yeh & Hsin-Li Hsu, 2019. "Using the Markov Chain to Analyze Precipitation and Groundwater Drought Characteristics and Linkage with Atmospheric Circulation," Sustainability, MDPI, vol. 11(6), pages 1-18, March.
    11. Sahar Hadi Pour & Ahmad Khairi Abd Wahab & Shamsuddin Shahid & Xiaojun Wang, 2019. "Spatial Pattern of the Unidirectional Trends in Thermal Bioclimatic Indicators in Iran," Sustainability, MDPI, vol. 11(8), pages 1-24, April.
    12. Philippe Jorion, 1988. "On Jump Processes in the Foreign Exchange and Stock Markets," The Review of Financial Studies, Society for Financial Studies, vol. 1(4), pages 427-445.
    13. Kate Marvel & Benjamin I. Cook & Céline J. W. Bonfils & Paul J. Durack & Jason E. Smerdon & A. Park Williams, 2019. "Twentieth-century hydroclimate changes consistent with human influence," Nature, Nature, vol. 569(7754), pages 59-65, May.
    14. Mohammad Naser Sediqi & Mohammed Sanusi Shiru & Mohamed Salem Nashwan & Rawshan Ali & Shadan Abubaker & Xiaojun Wang & Kamal Ahmed & Shamsuddin Shahid & Md. Asaduzzaman & Sayed Mir Agha Manawi, 2019. "Spatio-Temporal Pattern in the Changes in Availability and Sustainability of Water Resources in Afghanistan," Sustainability, MDPI, vol. 11(20), pages 1-17, October.
    15. Richard Damania & Sébastien Desbureaux & Marie Hyland & Asif Islam & Scott Moore & Aude-Sophie Rodella & Jason Russ & Esha Zaveri, 2017. "Uncharted Waters," World Bank Publications - Books, The World Bank Group, number 28096, December.
    16. Xingyi Li & Valeriy Zakamulin, 2020. "Stock volatility predictability in bull and bear markets," Quantitative Finance, Taylor & Francis Journals, vol. 20(7), pages 1149-1167, July.
    17. Xiao-jun Wang & Jian-yun Zhang & Shahid Shamsuddin & Ru-lin Oyang & Tie-sheng Guan & Jian-guo Xue & Xu Zhang, 2017. "Impacts of climate variability and changes on domestic water use in the Yellow River Basin of China," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(4), pages 595-608, April.
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