Projection of temperature change and extreme temperature events in the Lancang-Mekong River basin

被引:10
|
作者
Sun Chang [1 ,2 ]
Xiao Ziniu [1 ,2 ]
Sun Jianqi [3 ]
Yu Entao [3 ]
机构
[1] Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geop, Beijing, Peoples R China
[2] Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing, Peoples R China
[3] Chinese Acad Sci, Nansen Zhu Int Res Ctr, Inst Atmospher Phys, Beijing, Peoples R China
关键词
Climate projection; Lancang-Mekong River basin; model evaluation; bias correction; extreme temperature events; CLIMATE-CHANGE; SIMULATION;
D O I
10.1080/16742834.2020.1696143
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The Lancang-Mekong River basin (LMRB) is under increasing threat from global warming. In this paper, the projection of future climate in the LMRB is explored by focusing on the temperature change and extreme temperature events. First, the authors evaluate the bias of temperature simulated by the Weather Research and Forecasting model. Then, correction is made for the simulation by comparing with observation based on the non-parametric quantile mapping using robust empirical quantiles (RQUANT) method. Furthermore, using the corrected model results, the future climate projections of temperature and extreme temperature events in this basin during 2016-35, 2046-65, and 2080-99 are analyzed. The study shows that RQUANT can effectively reduce the bias of simulation results. After correction, the simulation can capture the spatial features and trends of mean temperature over the LMRB, as well as the extreme temperature events. Besides, it can reproduce the spatial and temporal distributions of the major modes. In the future, the temperature will keep increasing, and the warming in the southern basin will be more intense in the wet season than the dry season. The number of extreme high-temperature days exhibits an increasing trend, while the number of extreme low-temperature days shows a decreasing trend. Based on empirical orthogonal function analysis, the dominant feature of temperature over this basin shows a consistent change. The second mode shows a seesaw pattern.
引用
收藏
页码:16 / 25
页数:10
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