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http://dx.doi.org/10.3741/JKWRA.2022.55.3.177

Application of a large-scale ensemble climate simulation database for estimating the extreme rainfall  

Kim, Youngkyu (Department of Civil Engineering, Chungnam National University)
Son, Minwoo (Department of Civil Engineering, Chungnam National University)
Publication Information
Journal of Korea Water Resources Association / v.55, no.3, 2022 , pp. 177-189 More about this Journal
Abstract
The purpose of this study is to apply the d4PDF (Data for Policy Decision Making for Future Change) constructed from a large-scale ensemble climate simulation to estimate the probable rainfall with low frequency and high intensity. In addition, this study analyzes the uncertainty caused by the application of the frequency analysis by comparing the probable rainfall estimated using the d4PDF with that estimated using the observed data and frequency analysis at Geunsam, Imsil, Jeonju, and Jangsu stations. The d4PDF data consists of a total of 50 ensembles, and one ensemble provides climate and weather data for 60 years such as rainfall and temperature. Thus, it was possible to collect 3,000 annual maximum daily rainfall for each station. By using these characteristics, this study does not apply the frequency analysis for estimating the probability rainfall, and we estimated the probability rainfall with a return period of 10 to 1000 years by distributing 3,000 rainfall by the magnitude based on a non-parametric approach. Then, the estimated probability rainfall using d4PDF was compared with those estimated using the Gumbel or GEV distribution and the observed rainfall, and the deviation between two probability rainfall was estimated. As a result, this deviation increased as the difference between the return period and the observation period increased. Meanwhile, the d4PDF reasonably suggested the probability rainfall with a low frequency and high intensity by minimizing the uncertainty occurred by applying the frequency analysis and the observed data with the short data period.
Keywords
d4PDF data; A large-scale ensemble climate simulations; Probable rainfall; Frequency analysis; Return period;
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1 Kumar, N., Poonia, V., Gupta, B.B., and Goyal, M.K. (2021). "A novel framework for risk assessment and resilience of critical infrastructure towards climate change." Technological Forecasting and Social Change, Elsevier, Vol. 165, 120532.   DOI
2 Ben Alaya, M.A., Zwiers, F., and Zhang, X. (2018). "Probable maximum precipitation: Its estimation and uncertainty quantification using bivariate extreme value analysis." Journal of Hydrometeorology, Vol. 19, No. 4, pp. 679-694.   DOI
3 Cunnane, C. (1989). Statistical distributions for flood frequency analysis. Operational Hydrological Report. No. 33, Word Meteorological Organization, Geneva, Switzerland.
4 Faye. B, Webber, H., Naab, J.B., MacCarthy, D.S., Adam, M., Ewert, F., Lamers, J.P.A., Schleussner, C.F., Ruane, A., Gessner, U., Hoogenboom, G., Boote, K., Shelia, V., Saeed, F., Wisser, D., Hadir, S., Laux, P., and Gaiser, T. (2018). "Impacts of 1.5 versus 2.0℃ on cereal yields in the West African Sudan Savanna." Environmental Research Letters, IOP Publishing, Vol. 13, No. 3, pp. 1-13.
5 Haddad, K., and Rahman, A. (2011). "Selection of the best fit flood frequency distribution and parameter estimation procedure: A case study for Tasmania in Australia." Stochastic Environmental Research and Risk Assessment, Springer, Vol. 25, No. 3, pp. 415-428.   DOI
6 Sharma, M.A., and Singh, J.B. (2010). "Use of probability distribution in rainfall analysis." New York Science Journal, Vol. 3, No. 9, pp. 40-49.
7 Mori, N., Shimura, T., Yoshida, K., Mizuta, R., Okada, Y., Fujita, M., Khujanazarov, T., and Nakakita, E. (2019). "Future changes in extreme storm surges based on mega-ensemble projection using 60-km resolution atmospheric global circulation model." Coastal Engineering Journal, T&F, Vol. 61, No. 3, pp. 295-307.   DOI
8 Seneviratne, S., Nicholls, N., Easterling, D., Goodess, C., Kanae, S., Kossin, J., Luo, Y., Marengo, J., McInnes, K., and Rahimi, M. (2012). Changes in climate extremes and their impacts on the natural physical environment. Cambridge University Press, Cambridge, UK.
9 Shimpo, A., Takemura, K., Wakamatsu, S., Togawa, H., Mochizuki, Y., Takekawa, M., Tanaka, S., Yamashita, K., Maeda, S., and Kurora, R. (2019). "Primary factors behind the heavy rain event of July 2018 and the subsequent heat wave in Japan." Sola, MSJ, Vol. 15A, pp. 13-18.   DOI
10 Smith, L.C. (2000). "Trends in Russian Arctic river-ice formation and breakup, 1917 to 1994." Physical Geography, Vol. 21, No. 1, pp. 46-56.   DOI
11 Tanaka, T., Tachikawa, Y., Ichikawa, Y., and Yorozu, K. (2018). "Flood risk curve development with probabilistic rainfall modelling and large ensemble climate simulation data: A case study for the Yodo river basin." Hydrological Research Letters, Vol. 12, No. 4, pp. 28-33.   DOI
12 Felix, M.L., Kim, Y., Choi, M., Kim, J.-C., Do, X.K., Nguyen, T. H., and Jung, K. (2021). "Detailed trend analysis of extreme climate indices in the upper Geum River Basin." Water, MDPI, Vol. 13, No. 22, 3171.   DOI
13 Alam, M.S., and Elshorbagy, A. (2015). "Quantification of the climate change-induced variations in Intensity - Duration - Frequency curves in the Canadian Prairies." Journal of Hydrology, Elsevier, Vol. 527, pp. 990-1005.   DOI
14 Johnson, F., Haddad, K., Rahman, A., and Green, J. (2012). "Application of Bayesian GLSR to estimate sub daily rainfall parameters for the IFD revision project." Hydrology and Water Resources Symposium 2012, EA, Australia, p. 800.
15 Li, S., Mote, P. W., Rupp, D. E., Vickers, D., Mera, R., and Allen, M. (2015). "Evaluation of a regional climate modeling effort for the western United States using a superensemble from weather @home." Journal of Climate, Vo. 28, pp. 7470-7488.   DOI
16 Bandaru, S., Sano, S., Shimizu, Y., Seki, Y., Okano, Y., Sasaki, T., Wada, H., Otsuki, T., and Ito, T. (2020). "Impact of heavy rains of 2018 in western Japan: disaster-induced health outcomes among the population of Innoshima Island." Heliyon, Elsevier, Vol. 6, No. 5, e03942.   DOI
17 Bobee, B., Cavadias, G., Ashkar, F., Bernier, J., and Rasmussen, P. (1993). "Towards a systematic approach to comparing distributions used in flood frequency analysis." Journal of Hydrology, Elsevier Vol. 142, No. 1-4, pp. 121-136.   DOI
18 Christidis, N., Jones, G.S., and Stott, P.A. (2015). "Dramatically increasing chance of extremely hot summers since the 2003 European heatwave." Nature Climate Change, Vol. 5, No. 1, pp. 46-50.   DOI
19 Duan, W., Hanasaki, N., Shiogama, H., Chen, Y., Zou, S., Nover, D., Zhou, B., and Wang, Y. (2019). "Evaluation and future projection of Chinese precipitation extremes using large ensemble high-resolution climate simulations." Journal of Climate, Vol. 32, No. 8, pp. 2169-2183.   DOI
20 Fischer, E.M., and Knutti, R. (2015). "Anthropogenic contribution to global occurrence of heavy-precipitation and high-temperature extremes." Nature Climate Change, Vol. 5, No. 6, pp. 560-564.   DOI
21 Kendall, M.G. (1975). Rank correlation methods (4th edn.) charles griffin. Griffin, London, UK.
22 Sasaki, H., Kurihara, K., Takayabu, I., and Uchiyama, T. (2008). "Preliminary experiments of reproducing the present climate using the non-hydrostatic regional climate model." Sola, MSJ, Vol. 4, pp. 25-28.   DOI
23 Zhang, Y., Xu, Y., Dong, W., Cao, L., and Sparrow, M. (2006). "A future climate scenario of regional changes in extreme climate events over China using the PRECIS climate model." Geophysical Research Letter, Vol. 33, L24702.   DOI
24 Tanaka, T., Kiyohara, K., and Tachikawa, Y. (2020). "Comparison of fluvial and pluvial flood risk curves in urban cities derived from a large ensemble climate simulation dataset: A case study in Nagoya, Japan." Journal of Hydrology, Elsevier, Vol. 584, No. February, 124706.   DOI
25 Mote, P.W., Allen, M.R., Jones, R.G., Li, S., Mera, R., Rupp, D.E., Salahuddin, A., and Vickers, D. (2016). "Superensemble regional climate modeling for the western United States." Bulletin of the American Meteorological Society, Vol. 97, pp. 203-215.   DOI
26 Doll, P., Trautmann, T., Gerten, D., Schmied, H.M., Ostberg, S., Saaed, F., and Schleussner, C.F. (2018). "Risks for the global freshwater system at 1.5℃ and 2℃ global warming." Environmental Research Letters, IOP Publishing, Vol. 13, No. 4, pp. 1-15.
27 Tang, J., Niu, X., Wang, S., Gao, H., Wang, X., and Wu, J. (2016). "Statistical downscaling and dynamical downscaling of regional climate in China: Present climate evaluations and future climate projections." Journal of Geophysical Research, Vol. 121, pp. 2110-2129.
28 Yang, J.A., Kim, S., Mori, N., and Mase, H. (2018). "Assessment of long-term impact of storm surges around the Korean Peninsula based on a large ensemble of climate projections." Coastal Engineering, Elsevier, Vol. 142, pp. 1-8.   DOI
29 Gumbel, E.J. (1958). Statics of extremes. Columbia University Press, New York, N.Y., U.S.
30 Klemes, V. (1986). "Dilettantism in hydrology: Transition or destiny?" Water Resources Research, WOL, Vol. 22, No. 9S, pp. 177S-188S.
31 Klemes, V. (1987). "Hydrological and engineering relevance of flood frequency analysis." Hydrologic Frequency Modeling, Springer, pp. 1-18.
32 Klemes, V. (2000). "Tall tales about tails of hydrological distributions. I." Journal of Hydrologic Engineering, Vol. 5, No. 3, pp. 227-231.   DOI
33 Tanaka, T., Kobayashi, K., and Tachikawa, Y. (2021). "Simultaneous flood risk analysis and its future change among all the 109 class-A river basins in Japan using a large ensemble climate simulation database d4PDF." Environmental Research Letters, IOP Publishing, Vol. 16, No. 7, 74059.   DOI
34 Lavender, S.L., E Walsh, K.J., Caron, L.-P., King, M., Monkiewicz, S., Guishard, M., Zhang, Q., and Hunt, B. (2018). "Estimation of the maximum annual number of North Atlantic tropical cyclones using climate models." Science Advances, Vol. 4, No. 8, eaat6509.   DOI
35 Mann, H.B. (1945). "Nonparametric tests against trend." Econometrica, Vol. 13, No. 3, pp. 245-259.   DOI
36 Mizuta, R., Murata, A., Ishii, M., Shiogama, H., Hibino, K., Mori, N., Arakawa, O., Imada, Y., Yoshida, K., Aoyagi, T., Kawase, H., Mori, M., Okada, Y., Shimura, T., Nagatomo, T., Ikeda, M., Endo, H., Masaya, N., Arai, M., Takahashi, C., Tanaka, K., Takemi, T., Tachikawa, Y., Temur, K., Kamae, Y., Watanabe, M., Sasaki, H., Kitoh, A., Takayabu, I., Nakakita, E., and Kimoto, M. (2017). "Over 5,000 years of ensemble future climate simulations by 60-km global and 20-km regional atmospheric models." Bulletin of the American Meteorological Society, AMS, Vol. 98, No. 7, pp. 1383-1398.
37 Hwang, J., Ahn, J., Jeong, C., and Heo, J.-H. (2018). "A study on the variation of design flood due to climate change in the ungauged urban catchment." Journal of Korea Water Resources Association, KWRA, Vol. 51, No. 5, pp. 395-404.   DOI
38 Haddad, K., Johnson, F., Rahman, A., Green, J., and Kuczera, G. (2015). "Comparing three methods to form regions for design rainfall statistics: two case studies in Australia." Journal of Hydrology, Elsevier, Vol. 527, pp. 62-76.   DOI
39 Hanittinan, P., Tachikawa, Y., and Ram-Indra, T. (2020). "Projection of hydroclimate extreme indices over the indochina region under climate change using a large single-model ensemble." International Journal of Climatology, RMetS, Vol. 40, No. 6, pp. 2924-2952.   DOI
40 Hirota, K., Konagai, K., Sassa, K., Dang, K., Yoshinaga, Y., and Wakita, E.K. (2019). "Landslides triggered by the West Japan Heavy Rain of July 2018, and geological and geomorphological features of soaked mountain slopes." Landslides, Springer, Vol. 16, pp. 189-194.   DOI
41 Ishii, M., and Mori, N. (2020). "d4PDF: Large-ensemble and highresolution climate simulations for global warming risk assessment." Progress in Earth and Planetary Science, Springer, Vol. 7, No. 1, pp. 1-22.   DOI
42 Kay, J.E., Deser, C., Phillips, A., Mai, A., Hannay, C., Strand, G., Arblaster, J.M., Bates, S.C., Danabasoglu, G., Edwards, J., Holland, M., Kushner, P., Lamarque, J.F., Lawrence, D., Lindsay, K. Middleton, A., Munoz, E., Neale, R., Oleson, K., Polvani, L., and Vertenstein, M. (2015). "The community earth system model (CESM) large ensemble project: A community resource for studying climate change in the presence of internal climate variability." Bulletin of the American Meteorological Society, AMS, Vol. 96, No. 8, pp. 1333-1349.   DOI
43 Ji, Z., and Kang, S. (2015). "Evaluation of extreme climate events using a regional climate model for China." International Journal of Climatology, Vol. 35, pp. 888-902.   DOI