摘要
利用杨楼流域9个站点的逐日降水资料,分析历史时段(1981—2010年)降水时空变化特征,基于多目标函数的秩评分方法,评估全球耦合模式第五阶段(CMIP5)的23个气候模式对流域降水的模拟能力,并利用优选出的气候模式对未来降水进行预估。结果表明:杨楼流域历史时段降水整体呈微弱上升趋势,增量为39.4 mm/10a;CMIP5气候模式模拟降水量普遍偏高,模拟能力较优的模式是ACCESS1.0,Had GEM2-AO及CNRM-CM5;流域未来时段降水年际波动较平缓,年内分配更为不均,集中于汛期。
This study analyzes the spatiotemporal variability of precipitation in history using daily precipitation data of the Yanglou River basin, and evaluates the simulation of 23 General Circulation Models（ GCMs） from CMIP5 on precipitation for this river basin based on multiple objective function of ranking score method, and predictes the future precipitation from the selected GCMs. Results show that the historical precipitation in the study area has a slightly increasing trend, and the trend is 39. 4 mm/10 a. The GCMs from CMIP5 overestimates the precipitation in general. The best GCMs are ACCESS 1. 0, Had GEM2-AO and CNRM-CM5. The precipitation in the future will have less obviously change, but the distribution within the year will be more uneven, and the precipitation will mainly focus on the rainy season.
作者
陈思淳
黄本胜
王晓刚
郝振纯
CHEN Sichun;HUANG Bensheng;WANG Xiaogang;HAO Zhenchun(Guangdong Research Institute of Water Resources and Hydropower,Guangzhou 510000,China;School of Geography and Planning,Sun Yat-Sen University,Guangzhou 510000,China;The Pearl River Hydraulic Research Institute,Euangzhou 510000,China;State Key Laboratory of Hydrology,Water Resources and Hydraulic Engineering,Hohai University,Nanjing 210098,China)
出处
《人民珠江》
2018年第6期58-62,97,共6页
Pearl River
基金
广东省水利科技创新项目(2015-07)
