摘要
利用在天山山区海拔超过1 500 m的气象站的逐日气温和气压数据与同期经过水平方向和垂直方向插值后ERA-Interim和NCEP/NCAR两套再分析数据进行回归分析,研究再分析数据在天山山区不同季节的适用性,并验证再分析数据偏差与气候区的一致性。结果表明:从整体上,ERA-Interim数据气压和气温的可信度优于NCEP/NCAR数据,但在局部存在差异。两套再分析数据的偏差与气候分区、高程和季节相关。中天山山区再分析数据气温偏差呈现暖偏差,而天山南坡呈现冷偏差。两套再分析数据的气温偏差在高山带呈现暖偏差,在中山带呈现冷偏差。春秋两季气温的偏差小于夏冬两季。气压的偏差在夏季低于其他三季。而偏差可能会导致以再分析数据为驱动的气候模式结果的偏差。
This paper analyzes the reliability of NCEP/NCAR and ERA-Interim reanalysis data on Tianshan Mountains by using the observed daily data from the stations with more than 1 500 m above sea level.Results show that the ERA-Interim dataset has a better performance than NCEP/ NCAR dataset with a few exceptions.These errors are related to climatic zones,elevation and season.Temperature based on reanalysis data highlights that warm bias occurs in the central Tianshan Mountains,but cold bias takes place in southern slope of Tianshan Mountains.In term of elevation,warm bias happens in Alpine and cold bias does in the middle zone of mountains.Seasonally,bias of temperature in spring and autumn is less than that in summer and winter.And bias of pressure in summer is the lowest in a year.The bias from the temperature and pressure could lead to bias in the regional climate model result.
出处
《沙漠与绿洲气象》
2013年第3期51-56,共6页
Desert and Oasis Meteorology
基金
国家973重点研究项目(2010CB951002)
自然科学基金项目(40871027)
中国科学院知识创新重要方向项目(KZCX2-YW-334)