Comparison of CMIP5 and CMIP6 models for temperature and precipitation simulation over the Yarlung Tsangpo-Brahmaputra River Basin

被引:1
作者
Chen, Linyan [1 ,2 ]
Ji, Xuan [1 ,2 ]
Xu, Zhangchao [1 ,2 ]
Qin, Peng [1 ,2 ]
Yang, Chuangjian [1 ,2 ]
Yan, Siyi [1 ,2 ]
Sun, Cezong [1 ,2 ]
Zheng, Yangfan [3 ]
Zhang, Yuanping [3 ]
机构
[1] Yunnan Univ, Inst Int Rivers & Ecosecur, Kunming 650500, Peoples R China
[2] Yunnan Univ, Yunnan Key Lab Int Rivers & Transboundary Ecosecur, Kunming 650500, Peoples R China
[3] Yunnan Univ, Sch Earth Sci, Kunming 650500, Peoples R China
基金
中国国家自然科学基金;
关键词
CMIP5; CMIP6; generalized three-cornered hat method; multi-model ensemble; Yarlung Tsangpo-Brahmaputra River Basin; CLIMATE-CHANGE; RESOLUTION; DATASET;
D O I
10.2166/wcc.2024.393
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
This study compares simulations from 13 CMIP5 and CMIP6 homologous models and their multi-model ensemble (MME) for temperature and precipitation over the Yarlung Tsangpo-Brahmaputra River Basin (YBRB). The results showed that (1) the MME estimations are superior to most single models, indicating TCH is effective for reducing model uncertainty. (2) CMIP5 and CMIP6 were more applicable during spring and autumn for maximum and minimum temperatures (Tasmax, Tasmin) and precipitation over the YBRB. Moreover, CMIP5 and CMIP6 showed better performance for precipitation in the downstream floodplain, for Tasmax on the Tibetan Plateau, and for Tasmin in the whole YBRB. (3) CMIP5 and CMIP6 can better simulate the spatial distribution of temperature rather than precipitation (temporal correlation coefficient (TCC) of Tasmax and Tasmin: 0.72-0.89; TCC of precipitation: 0.43-0.6). Both perform poorly in simulating interannual variation in temperature and precipitation (all anomaly correlation coefficients (ACC) <0.60). (4) The bias of CMIP6 for temperature and precipitation is mostly lower than CMIP5, but still has a cold bias over YBRB (Tasmax: -7.98 to -14.88 degrees C, Tasmin: -6.24 to -21.45 degrees C) and wet bias on Tibetan Plateau (0.56-2.00 mm), dry bias on Himalayan belt (-0.69 to -7.56 mm), and floodplain (-0.46 to -6.98 mm).
引用
收藏
页码:3450 / 3471
页数:22
相关论文
共 52 条
  • [31] Integrated water management of the Brahmaputra basin: Perspectives and hope for regional development
    Rahaman, Muhammad Mizanur
    Varis, Olli
    [J]. NATURAL RESOURCES FORUM, 2009, 33 (01) : 60 - 75
  • [32] Overview of the Norwegian Earth System Model (NorESM2) and key climate response of CMIP6 DECK, historical, and scenario simulations
    Seland, Oyvind
    Bentsen, Mats
    Olivie, Dirk
    Toniazzo, Thomas
    Gjermundsen, Ada
    Graff, Lise Seland
    Debernard, Jens Boldingh
    Gupta, Alok Kumar
    He, Yan-Chun
    Kirkevag, Alf
    Schwinger, Jorg
    Tjiputra, Jerry
    Aas, Kjetil Schanke
    Bethke, Ingo
    Fan, Yuanchao
    Griesfeller, Jan
    Grini, Alf
    Guo, Chuncheng
    Ilicak, Mehmet
    Karset, Inger Helene Hafsahl
    Landgren, Oskar
    Liakka, Johan
    Moseid, Kine Onsum
    Nummelin, Aleksi
    Spensberger, Clemens
    Tang, Hui
    Zhang, Zhongshi
    Heinze, Christoph
    Iversen, Trond
    Schulz, Michael
    [J]. GEOSCIENTIFIC MODEL DEVELOPMENT, 2020, 13 (12) : 6165 - 6200
  • [33] Development of a 50-year high-resolution global dataset of meteorological forcings for land surface modeling
    Sheffield, Justin
    Goteti, Gopi
    Wood, Eric F.
    [J]. JOURNAL OF CLIMATE, 2006, 19 (13) : 3088 - 3111
  • [34] Accuracy Analysis of Digital Elevation Model Relating to Spatial Resolution and Terrain Slope by Bilinear Interpolation
    Shi, Wenzhong
    Wang, Bin
    Tian, Yan
    [J]. MATHEMATICAL GEOSCIENCES, 2014, 46 (04) : 445 - 481
  • [35] Climate change features along the Brahmaputra Valley in the past 26 years and possible causes
    Song, Minhong
    Ma, Yaoming
    Zhang, Yu
    Li, Maoshan
    Ma, Weiqiang
    Sun, Fanglin
    [J]. CLIMATIC CHANGE, 2011, 106 (04) : 649 - 660
  • [36] Water vapor transport and cross-equatorial flow over the Asian-Australia monsoon region simulated by CMIP5 climate models
    Song Yajuan
    Qiao Fangli
    Song Zhenya
    Jiang Chunfei
    [J]. ADVANCES IN ATMOSPHERIC SCIENCES, 2013, 30 (03) : 726 - 738
  • [37] Insight from CMIP6 SSP-RCP scenarios for future drought characteristics in China
    Su, Buda
    Huang, Jinlong
    Mondal, Sanjit Kumar
    Zhai, Jianqing
    Wang, Yanjun
    Wen, Shanshan
    Gao, Miaoni
    Lv, Yanran
    Jiang, Shan
    Jiang, Tong
    Li, Aiwei
    [J]. ATMOSPHERIC RESEARCH, 2021, 250
  • [38] Preliminary Evaluation of GPM-IMERG Rainfall Estimates Over Three Distinct Climate Zones With APHRODITE
    Sunilkumar, K.
    Yatagai, Akiyo
    Masuda, Minami
    [J]. EARTH AND SPACE SCIENCE, 2019, 6 (08) : 1321 - 1335
  • [39] Tabari H, 2020, SCI REP-UK, V10, DOI 10.1038/s41598-020-70816-2
  • [40] Summarizing multiple aspects of model performance in a single diagram.
    Taylor, KE
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2001, 106 (D7): : 7183 - 7192