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- W2389624478 abstract "Based on ten statistical characteristics and compared with NCEP Re-analysis Data,a score-based multi-criteria method is employed to evaluate the performance of 21 GCMs in simulating 17 climatic elements in the basins distributed in southeastern China.Results show that different climate variables represent a variety of statistical characteristics.The simulation abilities of 21 GCMs are not consistent with climate elements.For the ground variables,CSIRO:MK30,GFDL:CM21,GFDL:CM20 and INM:CM30 show a better performance in simulating precipitation and ground temperature.While the better models in generating high-altitude variables are CGCM2.3.2,GISS:EH,BCCR:BCM20 and GFDL.Considering all climate elements,BCCR:BCM20,GFDL:CM20,CGCM2.3.2 and GISS:EH perform better,comprehensively.The optimization of GCMs could provide a scientific basis for further study of climate change in study area." @default.
- W2389624478 created "2016-06-24" @default.
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- W2389624478 date "2011-01-01" @default.
- W2389624478 modified "2023-09-24" @default.
- W2389624478 title "Performance of Different General Circulation Models (GCMs) in the Basins of Southeastern China" @default.
- W2389624478 hasPublicationYear "2011" @default.
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