首页|Projection of Summer Precipitation over the Yangtze-Huaihe River Basin Using Multimodel Statistical Downscaling Based on Canonical Correlation Analysis

Projection of Summer Precipitation over the Yangtze-Huaihe River Basin Using Multimodel Statistical Downscaling Based on Canonical Correlation Analysis

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  • 国家科技期刊平台
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By using observational daily precipitation data over the Yangtze-Huaihe River basin,ERA-40 data,and the data from eight CMIP5 climate models,statistical downscaling models are constructed based on BP-CCA (combination of empirical orthogonal function and canonical correlation analysis) to project future changes of precipitation.The results show that the absolute values of domain-averaged precipitation relative errors of most models are reduced from 8％-46％ to 1％-7％ after statistical downscaling.The spatial correlations are all improved from less than 0.40 to more than 0.60.As a result of the statistical downscaling multi model ensemble (SDMME),the relative error is improved from 15.8％ to-1.3％,and the spatial correlation increases significantly from 0.46 to 0.88.These results demonstrate that the simulation skill of SDMME is relatively better than that of the multimodel ensemble (MME) and the downscaling of most individual models.The projections of SDMME reveal that under the RCP (Representative Concentration Pathway) 4.5 scenario,the projected domain-averaged precipitation changes for the early (2016-2035),middle (2046-2065),and late (2081-2100) 21st century are-1.8％,6.1％,and 9.9％,respectively.For the early period,the increasing trends of precipitation in the western region are relatively weak,while the precipitation in the east shows a decreasing trend.Furthermore,the reliability of the projected changes over the area east of 115°E is higher than that in the west.The stations with significant increasing trends are primarily located over the western region in both the middle and late periods,with larger magnitude for the latter.Stations with high reliability mainly appear in the region north of 28.5°N for both periods.

summer precipitationBP-CCAstatistical downscalingmultimodel ensembleprojection

WU Dan、JIANG Zhihong、MA Tingting

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Key Laboratory of Meteorological Disaster of Ministry of Education, Joint International Research Laboratory of Climate and Environment Change, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,Nanjing University of Information Science & Technology, Nanjing 210044

National Natural Science Foundation of ChinaPriority Academic Program Development (PAPD)of Jiangsu Higher Education Institutions,and National Key Pesearch and Development P

412305282016YFA0600402

2016

10.1007/S13351-016-6030-1

气象学报(英文版)
中国气象学会

气象学报(英文版)

SCI
影响因子：0.57
ISSN：0894-0525
年,卷(期)：2016.30(6)
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