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SDSM统计降尺度方法对江淮地区地面气温模拟能力评估及其未来情景预估 被引量:9

Projection and evaluation of the surface temperature over Yangtze-Huaihe River valleys based on SDSM downscaling method
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摘要 运用SDSM统计降尺度对江淮地区五个代表站点进行统计降尺度研究,应用独立观测资料验证发现统计降尺度模式具有一定的可靠性。在A2排放情景下,对5个测站的未来情景研究发现,到21世纪中叶,各测站普遍增温1.5℃左右,到本世纪末,增温幅度在4℃左右。这一结论与LMDZ动力降尺度模式结果基本一致,但统计降尺度的模拟值要略高于动力降尺度。 SDSM statistical downscaling method was used to project and evaluate the surface temperature over Yangtze-Huaihe River Valleys.The results indicate that the SDSM model was reliable and the surface temperature at 5 representative stations would be increased by about 1.5 ℃ in 2050s under IPCC SRES A2.By the end of 21st century the warming would be around 4 ℃.This conclusion is consistent with the dynamical downscaling method(LMDZ).But the warming amplitude is larger than that by using SDSM method.
出处 《气象科学》 CSCD 北大核心 2012年第5期500-507,共8页 Journal of the Meteorological Sciences
基金 国家科技支撑计划项目(2009BAC51B05) 国家重点基础研究发展规划项目(2010CB428506)
关键词 地面气温 SDSM 降尺度方法 模拟评估 情景预估 Surface temperature SDSM Downscaling method Simulation evaluation Scenarios projection
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