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タイトル: Comparison of CMIP5 and CMIP6 GCM performance for flood projections in the Mekong River Basin
著者: Try, Sophal
Tanaka, Shigenobu
Tanaka, Kenji  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0003-2718-9440 (unconfirmed)
Sayama, Takahiro  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0002-0558-6878 (unconfirmed)
Khujanazarov, Temur
Oeurng, Chantha
著者名の別形: 田中, 茂信
田中, 賢治
佐山, 敬洋
キーワード: CMIP5
CMIP6
GCM
Flooding
Mekong River Basin
発行日: Apr-2022
出版者: Elsevier BV
誌名: Journal of Hydrology: Regional Studies
巻: 40
論文番号: 101035
抄録: Study region: Mekong River Basin. Study focus: The Coupled Model Intercomparison Project Phase 6 (CMIP6) recently announced an updated version of general circulation models (GCMs). This study investigated the performance of improved CMIP6 over those of CMIP5 with respect to precipitation and flood representations in the Mekong River Basin (MRB). The correlation and error comparison from the referenced precipitation exhibited a significant improvement in the peak value representation. Hence, the impacts of climate change on future floods in the MRB were simulated and assessed using a distributed rainfall–runoff–inundation model. New hydrological insights for the region: The results indicated that precipitation from CMIP6 had a higher correlation and a lower error coefficient than CMIP5. Similarly, the simulation of GCM ensembles of monthly discharge from CMIP6 exhibited a comparable average value to the observations, whereas CMIP5 underestimated the discharge simulations. The performance of the mean annual peak discharge improved from 37, 220 m3/s (CMIP5) to 45, 423 m3/s (CMIP6) compared to 43, 521 m3/s (observation). The projections of future floods in the MRB from CMIP6 exhibited an increase of annual peak discharge at Chiang Saen, Vientiane, Pakse, and Kratie stations by 10–15%, 20–22%, and 24–29% for the SSP2-4.5 scenario, and 10–18%, 24–29%, and 41–54% for the SSP5-8.5 scenario in the near future (2026–2050), mid-future (2051–2075), and far future (2076–2100), respectively. The statistical K-S test showed significant changes in all stations and projected periods with a p-value < 0.01.
著作権等: © 2022 The Author(s). Published by Elsevier B.V.
This is an open access article under the Creative Commons Attribution 4.0 International license.
URI: http://hdl.handle.net/2433/275985
DOI(出版社版): 10.1016/j.ejrh.2022.101035
出現コレクション:学術雑誌掲載論文等

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