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塔克拉玛干沙漠腹地1961-1998年逐月平均气温序列的重建
引用本文:杨青,刘新春,霍文,郑伟.塔克拉玛干沙漠腹地1961-1998年逐月平均气温序列的重建[J].气候变化研究进展,2009,5(2):85-089.
作者姓名:杨青  刘新春  霍文  郑伟
作者单位:1. 中国气象局 乌鲁木齐沙漠气象研究所2. 中国气象局乌鲁木齐沙漠气象研究所
基金项目:中国沙漠气象科学研究基金,国家科技部科研院所社会公益研究专项基金,科研院所科研业务费资助项目 
摘    要: 利用塔里木盆地周边27个气象站1961-2006年逐月平均气温和塔中气象站1999-2006年逐月平均气温资料,同时选取1961-2006年NCEP/NCAR 2.5°×2.5°经纬度距地表2 m的月平均气温再分析格点资料,分别用逐步回归分析、EOF分解和NCEP资料3种方法对塔中气象站1961-1998年历年逐月平均气温序列进行了恢复与重建,分析了误差,并与周边气象站的变化特征进行对比。结果表明,逐步回归和EOF法都能够作为重建塔中逐月平均气温的方法,但相对而言,逐步回归法重建的序列误差更小,平均拟合绝对误差为0.3℃,最大绝对误差为1.9℃。而NCEP/NCAR资料由于冬季存在明显的系统性误差,数值显著偏高,不能用于塔中气温序列的重建。

关 键 词:气温序列重建  气候变化  塔克拉玛干沙漠
收稿时间:2008-7-29
修稿时间: 

Reconstructed Series of Monthly Average Temperature from 1961 to 1998 in the Hinterland of the Taklimakan Desert
Yang Qing,Liu Xinchun,Huo Wen,Zheng Wei.Reconstructed Series of Monthly Average Temperature from 1961 to 1998 in the Hinterland of the Taklimakan Desert[J].Advances in Climate Change,2009,5(2):85-089.
Authors:Yang Qing  Liu Xinchun  Huo Wen  Zheng Wei
Affiliation:Institute of Desert Meteorology, China Meteorological Administration
Abstract:Monthly average temperatures from 1999 to 2006 at Tazhong weather station (39?0′N, 83?0′E) in the hinterland of the Taklimakan Dersert, and from 1961 to 2006 at 27 weather stations in the peripheral area of the desert, as well as the 2.5  ?.5 ?grid data of the NCEP/NCAR reanalysis surface monthly average temperature in the same period were used to reconstruct the time series of monthly average temperature at Tazhong from 1961-1998 by using the stepwise regression and empirical orthogonal function (EOF) analysis methods. The fitting errors, decadal mean temperatures and their trends were compared with one another. The results show that both the stepwise regression and EOF methods can be used to reconstruct series of monthly average temperature at Tazhong, but the former is superior to the latter in relatively smaller errors; the former's average absolute fitting error is 0.3℃ and the maximum absolute fitting error is 1.9℃. However, the NCEP/NCAR reanalysis surface monthly average temperature data can not be used due to its large positive systematic errors in winter season.
Keywords:reconstructed series of monthly temperature  climate change  Taklimakan Desert  
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