Projecting and Attributing Future Changes of Evaporative Demand over China in CMIP5 Climate Models

被引:0
|
作者
Liu, Wenbin [1 ]
Sun, Fubao [1 ,2 ,3 ]
机构
[1] Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
[2] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
[3] Hexi Univ, Sch Civil Engn, Zhangye City, Peoples R China
基金
美国国家科学基金会;
关键词
PAN EVAPORATION; REFERENCE EVAPOTRANSPIRATION; UNITED-STATES; TRENDS; DROUGHT; PRECIPITATION; IMPACTS; REGION; CYCLE;
D O I
10.1175/JHM-D-16-0204.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Atmospheric evaporative demand plays a pivotal role in global water and energy budgets, and its change is very important for drought monitoring, irrigation scheduling, and water resource management under a changing environment. Here, future changes of pan evaporation E-pan, a measurable indicator for atmospheric evaporative demand, are first projected and attributed over China through a physically based approach, namely, the PenPan model, forced with outputs from 12 state-of-the-art climate models from phase 5 of the Coupled Model Intercomparison Project. An equidistant quantile mapping method was also used to correct the biases in GCMs outputs to reduce uncertainty in E-pan projection. The results indicated that E-pan would increase during the periods 2021-50 and 2071-2100 relative to the baseline period 1971-2000 under the representative concentration pathway (RCP) 4.5 and 8.5 scenarios, which can mainly be attributed to the projected increase in air temperature and vapor pressure deficit over China. The percentage increase of E-pan is relatively larger in eastern China than in western China, which is due to the spatially inconsistent increases in air temperature, net radiation, wind speed, and vapor pressure deficit over China. The widely reported "pan evaporation paradox'' was not well reproduced for the period 1961-2000 in the climate models, before or after bias correction, suggesting discrepancy between observed and modeled trends. With that caveat, it was found that the pan evaporation has been projected to increase at a rate of 117-167 mm yr(-1) K-1 (72-80 mm yr(-1) K-1) over China using the multiple GCMs under the RCP 4.5 (RCP 8.5) scenario with increased greenhouse gases and the associated warming of the climate system.
引用
下载
收藏
页码:977 / 991
页数:15
相关论文
共 50 条
  • [21] Climate Drift in the CMIP5 Models
    Gupta, Alexander Sen
    Jourdain, Nicolas C.
    Brown, Jaclyn N.
    Monselesan, Didier
    JOURNAL OF CLIMATE, 2013, 26 (21) : 8597 - 8615
  • [22] Comparison of precipitation projections of CMIP5 and CMIP6 global climate models over Yulin, China
    Mohammed Sanusi Shiru
    Eun-Sung Chung
    Shamsuddin Shahid
    Xiao-jun Wang
    Theoretical and Applied Climatology, 2022, 147 : 535 - 548
  • [23] Comparison of precipitation projections of CMIP5 and CMIP6 global climate models over Yulin, China
    Shiru, Mohammed Sanusi
    Chung, Eun-Sung
    Shahid, Shamsuddin
    Wang, Xiao-jun
    THEORETICAL AND APPLIED CLIMATOLOGY, 2022, 147 (1-2) : 535 - 548
  • [24] Projection of Future Extreme Precipitation and Flood Changes of the Jinsha River Basin in China Based on CMIP5 Climate Models
    Yuan, Zhe
    Xu, Jijun
    Wang, Yongqiang
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2018, 15 (11)
  • [25] Analyses of Extreme Climate Events over China Based on CMIP5 Historical and Future Simulations
    YANG Shili
    FENG Jinming
    DONG Wenjie
    CHOU Jieming
    Advances in Atmospheric Sciences, 2014, 31 (05) : 1209 - 1220
  • [26] Analyses of extreme climate events over china based on CMIP5 historical and future simulations
    Shili Yang
    Jinming Feng
    Wenjie Dong
    Jieming Chou
    Advances in Atmospheric Sciences, 2014, 31 : 1209 - 1220
  • [27] Analyses of Extreme Climate Events over China Based on CMIP5 Historical and Future Simulations
    Yang Shili
    Feng Jinming
    Dong Wenjie
    Chou Jieming
    ADVANCES IN ATMOSPHERIC SCIENCES, 2014, 31 (05) : 1209 - 1220
  • [28] Dynamical downscaled CMIP5 scenario–based future climate changes over the Arabian Peninsula
    Mansour Almazroui
    Talal Alowaibdi
    Hosny Hasanean
    Arabian Journal of Geosciences, 2022, 15 (10)
  • [29] The Optimal Multimodel Ensemble of Bias-Corrected CMIP5 Climate Models over China
    Yang, Xiaoli
    Yu, Xiaohan
    Wang, Yuqian
    He, Xiaogang
    Pan, Ming
    Zhang, Mengru
    Liu, Yi
    Ren, Liliang
    Sheffield, Justin
    JOURNAL OF HYDROMETEOROLOGY, 2020, 21 (04) : 845 - 863
  • [30] Statistical downscaling of CMIP5 outputs for projecting future changes in rainfall in the Onkaparinga catchment
    Rashid, Md. Mamunur
    Beecham, Simon
    Chowdhury, Rezaul K.
    SCIENCE OF THE TOTAL ENVIRONMENT, 2015, 530 : 171 - 182