Evaluation of precipitation in CMIP6 over the Yangtze River Basin

被引:70
|
作者
Li, Ying [1 ]
Yan, Denghua [2 ]
Peng, Hui [1 ]
Xiao, Shangbin [1 ]
机构
[1] China Three Gorges Univ, Coll Hydraul & Environm Engn, Yichang 443002, Peoples R China
[2] China Inst Water Resources & Hydropower Res IWHR, Water Resources Dept, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
关键词
Yangtze River basin; CMIP6; Precipitation; Wet bias; Future projection; SUMMER PRECIPITATION; CLIMATE MODELS; VARIABILITY; CHINA; MONSOON; FLOODS; MIDDLE; LAND;
D O I
10.1016/j.atmosres.2020.105406
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Precipitation simulation and projection in global climate models (GCMs) play an important role in regional water resource management. Since multiple climate simulations from CMIP6 are already available, we evaluated the precipitation performance over the Yangtze River basin (YRB) from 18 models against observations during 1961-2014, before using the relevant simulations for scientific investigation and policy making. Our results suggest that CMIP6 models generally capture the increasing pattern of precipitation from the source region to the lower reaches of the YRB. However, most models overestimate precipitation (wet bias), by about 28.6% for multi-model ensemble mean (MEM). Spatially, the most significant wet bias could reach 70.1% in the source region. Seasonally, the wet bias is more pronounced in the cold season (56.2% in winter and 45.1% in spring). For precipitation change during 1961-2014, most models reproduce the observed increasing trend in the most northwest YRB, but they display large spatial discrepancies in the other regions. In CMIP6 projections (2015-2099), the precipitation over the YRB keep a consistently increasing trend under both scenarios SSP1-2.6 (14.76 mm/10a) and SSP5-8.5 (22.47 mm/10a). From near term (2015-2060) to long term (2061-2099), this wetting trend slows down under SSP1-2.6, but it accelerates under SSP5-8.5.
引用
收藏
页数:12
相关论文
共 50 条
  • [41] Selection of CMIP6 GCM with projection of climate over the Amu Darya River Basin
    Salehie, Obaidullah
    Hamed, Mohammed Magdy
    bin Ismail, Tarmizi
    Tam, Tze Huey
    Shahid, Shamsuddin
    [J]. THEORETICAL AND APPLIED CLIMATOLOGY, 2023, 151 (3-4) : 1185 - 1203
  • [42] Evaluation of CMIP6 HighResMIP models in simulating precipitation over Central Asia
    LI, Liang-Liang
    Li, Jian
    Yu, Ru-Cong
    [J]. ADVANCES IN CLIMATE CHANGE RESEARCH, 2022, 13 (01) : 1 - 13
  • [43] Selection of CMIP6 GCM with projection of climate over the Amu Darya River Basin
    Obaidullah Salehie
    Mohammed Magdy Hamed
    Tarmizi bin Ismail
    Tze Huey Tam
    Shamsuddin Shahid
    [J]. Theoretical and Applied Climatology, 2023, 151 : 1185 - 1203
  • [44] Evaluation of Temperature and Precipitation Simulations in CMIP6 Models Over the Tibetan Plateau
    Cui, Tong
    Li, Chao
    Tian, Fuqiang
    [J]. EARTH AND SPACE SCIENCE, 2021, 8 (07)
  • [45] Spatiotemporal Projections of Precipitation in the Lancang-Mekong River Basin Based on CMIP6 Models
    Sun, Zhouliang
    Liu, Yanli
    Zhang, Jianyun
    Chen, Hua
    Jin, Junliang
    Liu, Cuishan
    Wang, Guoqing
    Tang, Liushan
    [J]. REMOTE SENSING, 2023, 15 (18)
  • [46] Evaluation of daily precipitation modeling performance from different CMIP6 datasets: A case study in the Hanjiang River basin
    Pengxin, Deng
    Jianping, Bing
    Jianwei, Jia
    Dong, Wang
    [J]. Advances in Space Research, 2024, 74 (10) : 4655 - 4672
  • [47] Extreme temperature indices over the Volta Basin: CMIP6 model evaluation
    Jacob Agyekum
    Thompson Annor
    Emmanuel Quansah
    Benjamin Lamptey
    Leonard Kofitse Amekudzi
    Benjamin Kofi Nyarko
    [J]. Climate Dynamics, 2023, 61 : 203 - 228
  • [48] Extreme temperature indices over the Volta Basin: CMIP6 model evaluation
    Agyekum, Jacob
    Annor, Thompson
    Quansah, Emmanuel
    Lamptey, Benjamin
    Amekudzi, Leonard Kofitse
    Nyarko, Benjamin Kofi
    [J]. CLIMATE DYNAMICS, 2023, 61 (1-2) : 203 - 228
  • [49] Multi-criteria evaluation of CMIP6 precipitation and temperature simulations over Iran
    Zabihi, Omid
    Ahmadi, Azadeh
    [J]. JOURNAL OF HYDROLOGY-REGIONAL STUDIES, 2024, 52
  • [50] Historical and future runoff changes in the Yangtze River Basin from CMIP6 models constrained by a weighting strategy
    Zhao, Jiazhen
    He, Shengping
    Wang, Huijun
    [J]. ENVIRONMENTAL RESEARCH LETTERS, 2022, 17 (02):