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Evaluating Future Joint Probability of Precipitation Extremes with a Copula-Based Assessing Approach in Climate Change

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  • Bing-Chen Jhong

    (National Taiwan University)

  • Ching-Pin Tung

    (National Taiwan University)

Abstract

Changes in climate extremes may cause the variation of occurrence and intensity of floods and droughts. To investigate the future changes in joint probability behaviors of precipitation extremes for water resources management, an approach including three stages for analyzing the spatial variation of joint return periods of precipitation extremes is proposed in this paper. In the first stage, a weather generator model (WGM) was conducted with general circulation models (GCMs) under representative concentration pathway (RCP) scenarios to generate daily rainfall time series during 2021–2040 (S) and 2081–2100 (L) based on the statistics of the observed rainfall data. Four extreme precipitation indices are defined to represent extreme precipitation events. In the second stage, copula methods are adopted to establish the joint distribution of the precipitation extreme indices. The watershed-scale assessment of flood and drought applied in Shih-Men reservoir in northern Taiwan is conducted to demonstrate the possible change of joint return period. In the third stage, the change rates of joint return periods for bivariate extreme indices are demonstrated to present the occurrence possibility of floods or droughts in the future. The results indicate that floods and droughts might occur more frequently in the upstream region of the reservoir during the twenty-first century. The reservoir operations would be more important for water supply and flood mitigation. In conclusion, the possible changes of future joint probability of the precipitation extremes should be paid attention to for water resources management and draft plans to confront potential challenges in the future.

Suggested Citation

  • Bing-Chen Jhong & Ching-Pin Tung, 2018. "Evaluating Future Joint Probability of Precipitation Extremes with a Copula-Based Assessing Approach in Climate Change," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(13), pages 4253-4274, October.
    • Handle: RePEc:spr:waterr:v:32:y:2018:i:13:d:10.1007_s11269-018-2045-y
    DOI: 10.1007/s11269-018-2045-y
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    References listed on IDEAS

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    1. Vaz de Melo Mendes, Beatriz & Martins de Souza, Rafael, 2004. "Measuring financial risks with copulas," International Review of Financial Analysis, Elsevier, vol. 13(1), pages 27-45.
    2. Detlef Vuuren & Elke Stehfest & Michel Elzen & Tom Kram & Jasper Vliet & Sebastiaan Deetman & Morna Isaac & Kees Klein Goldewijk & Andries Hof & Angelica Mendoza Beltran & Rineke Oostenrijk & Bas Ruij, 2011. "RCP2.6: exploring the possibility to keep global mean temperature increase below 2°C," Climatic Change, Springer, vol. 109(1), pages 95-116, November.
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    Cited by:

    1. Changyan Yin & Jiayi Wang & Xin Yu & Yong Li & Denghua Yan & Shengqi Jian, 2022. "Definition of Extreme Rainfall Events and Design of Rainfall Based on the Copula Function," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(10), pages 3759-3778, August.
    2. Jinping Zhang & Dong Wang & Yuhao Wang & Honglin Xiao & Muxiang Zeng, 2023. "Runoff Prediction Under Extreme Precipitation and Corresponding Meteorological Conditions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(9), pages 3377-3394, July.
    3. Bing-Chen Jhong & Jung Huang & Ching-Pin Tung, 2019. "Spatial Assessment of Climate Risk for Investigating Climate Adaptation Strategies by Evaluating Spatial-Temporal Variability of Extreme Precipitation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(10), pages 3377-3400, August.
    4. Wu Zening & He Chentao & Huiliang Wang & Qian Zhang, 2020. "Reservoir Inflow Synchronization Analysis for Four Reservoirs on a Mainstream and its Tributaries in Flood Season Based on a Multivariate Copula Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(9), pages 2753-2770, July.

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