新着情報

2023

2024.10.05

Papers with reviews (English)

  1. Cao, A., Vo, L. P., Luu, D. H., Nguyen, T. T., Yoshimura, K. (2023). Flood early warning systems in ho chi minh city, Vietnam: current status, challenges and way ahead. URL: https://www.researchgate.net/publication/376989785_FLOOD_EARLY_WARNING_SYSTEMS_IN_HO_CHI_MINH_CITY_VIETNAM_CURRENT_STATUS_CHALLENGES_AND_WAY_AHEAD.
  2. Tanoue, M.Yashiro, H.Takano, Y.Yoshimura, K.Kodama, C., & Satoh, M. (2023). Modeling water isotopes using a global non-hydrostatic model with an explicit convection: Comparison with gridded data sets and site  observationsJournal of Geophysical Research: Atmospheres128, e2021JD036419. https://doi.org/10.1029/2021JD036419 
  3. Xiao Y, Yang G, Yoshimura K, Qu D, Chen F, Argiriou AA, Wang S., Altitude Correction of GCM-Simulated Precipitation Isotopes in a Valley Topography of the Chinese Loess Plateau, Sustainability, 15(17), 13126, 2023. https://doi.org/10.3390/su151713126.
  4. Yin, G., T. Yoshikane, R. Kaneko, K. Yoshimura, Improving global subseasonal to seasonal precipitation forecasts using a support vector machine-based method, JGR-Atmos, 2023. https://doi.org/10.1029/2023JD038929.
  5. Lan., H., K. Yoshimura, Z. Liu, Precipitation isotope changes over the East Asian monsoon region driven by sea surface temperature during the Last Glacial Maximum.  https://doi.org/10.1029/2023PA004692
  6. Yoshikane, T. and K. Yoshimura, A downscaling and bias correction method for climate model ensemble simulations of local-scale hourly precipitation, Sci. Rep. 13, 9412, 2023. https://doi.org/10.1038/s41598-023-36489-3.
  7. Wang, X., K. Toride, K. Yoshimura, Impact of Gaussian Transformation on Cloud Cover Data Assimilation for Historical Weather Reconstruction, Mon. Wea. Rev., 2023. https://doi.org/10.1175/MWR-D-22-0315.1
  8. Leroy-Dos Santos, C., Fourré, É., Agosta, C., Casado, M., Cauquoin, A., Werner, M., Minster, B., Prié, F., Jossoud, O., Petit, L., and Landais, A.: From atmospheric water isotopes measurement to firn core interpretation in Adelie Land: a case study for isotope-enabled atmospheric models in Antarctica, The Cryosphere, 17, 5241–5254, https://doi.org/10.5194/tc-17-5241-2023, 2023.
  9. Li, Y., Kino, K., Cauquoin, A. and Oki, T.: Contribution of lakes in sustaining the Sahara greening during the Mid-Holocene, Clim. Past, 19, 1891–1904, https://doi.org/10.5194/cp-19-1891-2023, 2023.
  10. Shi, X., Cauquoin, A., Lohmann, G., Jonkers, L., Wang, Q., Yang, H., Sun, Y., and Werner, M.: Simulated stable water isotopes during the mid-Holocene and pre-industrial periods using AWI-ESM-2.1-wiso, Geosci. Model Dev., 16, 5153–5178, https://doi.org/10.5194/gmd-16-5153-2023, 2023.
  11. Li, Y., Liu, X., Xie, X., Cauquoin, A. and Werner, M.: Interannual modulation of the East and South Asian summer precipitation δ18O by the Indian and western North Pacific summer monsoon strength, Glob. Planet. Change, 227, 104187, https://doi.org/10.1016/j.gloplacha.2023.104187, 2023.
  12. Cauquoin, A., Abe-Ouchi, A., Obase, T., Chan, W.-L., Paul, A., and Werner, M.: Effects of Last Glacial Maximum (LGM) sea surface temperature and sea ice extent on the isotope-temperature slope at polar ice core sites, Clim. Past., 19, 1275-1294, https://doi.org/10.5194/cp-19-1275-2023, 2023.
  13. Zhang, J., Yu, W., Lewis, S., Thompson, L., Bowen, G. J., Yoshimura, K., Cauquoin, A., Werner, M., Chakraborty, S., Jing, Z., Ma, Y., Guo, X., Xu, B., Wu, G., Guo, R. and Qu, D.: Controls on stable oxygen isotopes in monsoonal precipitation across the Bay of Bengal: atmosphere and surface analysis, Geophys. Res. Lett., 50, e2022GL102229, https://doi.org/10.1029/2022GL102229, 2023.
  14. Di Wang, Lide Tian, Camille Risi, Xuejie Wang, Jiangpeng Cui, Kei Yoshimura, Zhongwang Wei, Gabriel J. Bowen, and Laurent Z.X Li, Vehicle-based in situ observations of the water vapor isotopic composition across China: spatial and seasonal distributions and controls, Atmos. Chem. Phys., 23, 3409–3433, 2023. https://doi.org/10.5194/acp-23-3409-2023.
  15. S. Arciniega-Esparza, C. Birkel, A. Durán-Quesada, R. Sánchez-Murillo, G. Moore, M. Maneta, J. Boll, L. Benegas Negri, D. Tetzlaff, K. Yoshimura, and C. Soulsby, Large-scale tracer-aided ecohydrological modelling across climate, land cover, and topographical gradients in the Tropics, Hydrological Process, 2023. https://doi.org/10.1002/hyp.14884
  16. Takagi, H., A. Cao, M. Esteban, Cumulative land subsidence in Populated Asian Coastal Cities, Journal of Costal and Riverine Flood Risk, 2022. https://doi.org/10.59490/jcrfr.2023.0002.
  17. Li, Y., L. Tian, S. Lewis, K. Yoshimura, C. Wang, J. Cui, Y. Ma, R. Guo, J. Zhang, Z. Jing, L. Shao, X. Guo, Y. Wang, Diagnosis of atmospheric circulation shifts in the central Tibetan Plateau: Evidence from stable isotopes, Atmospheric Research, 2022. https://doi.org/10.1016/j.atmosres.2022.106536.
  18. Li, X., R. Kawamura, K. Ichiyanagi, K. Yoshimura, Moisture sources and isotopic composition of a record-breaking heavy Meiyu-Baiu rainfall in southwestern Japan in early July 2020, Atmospheric Research, 2023. https://doi.org/10.1016/j.atmosres.2023.106693.

Papers with reviews (Japanese)

  1. 伏尾佳悟, 六藤雄一, 福田哲也, 塚田洋平, 新田友子, 吉兼隆生, 山崎大, 芳村圭, 丸吉政博,統合陸域シミュレータ(ILS)と統合評価モデル(IAM)の連成シミュレーションによる水ストレス評価 生産研究 75(2) 135-140 2023年.
  2. 新田友子, Anh Cao, 荒川隆, 竹島滉, 芳村圭,コミュニティ陸モデル開発に向けたILSカプルソンの開催報告,水文・水資源学会誌 36(4) 306-310 2023年.
  3. 金子凌, 芳村圭, 深層学習降水予測の精度改善と現状の詳細評価, 土木学会論文集B1(水工学), 2023.
  4. 竹島滉・芳村圭, 大気海洋陸域結合システムにおける陸域モデルへの流域形状格子系の適用, 土木学会論文集B1(水工学), 2023.
  5. Li, Y., A. Cauquoin, A. Okazaki, K. Yoshimura, Development of the isotope version of the fully coupled climate model MIROC6-Iso, Journal of Japan Society of Civil Engineers, Ser. B1(Hydraulic Engineering), 2023.
  6. Abeyrathne, D., R. Kaneko, K. Yoshimura, Application of long short-term memory (LSTM) networks approach for river water level forecasting using multiple river basins: A case study for Sri Lanka, Journal of Japan Society of Civil Engineers, Ser. B1(Hydraulic Engineering), 2023.

 

東京大学
東京大学生産技術研究所
東京大学社会基盤学科
東京大学⼤気海洋研究所
東京大学 Global Hydrology Group
Today's Earth (TE) - JAXA
自然環境学専攻 - 東京大学

国立大学法人 東京大学 生産技術研究所
大規模実験高度解析推進基盤

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