滇西北地区1678-2019年9-10月平均气温序列的建立  

Establishment of a Yearly September–October Mean Temperature Dataset during 1678–2019 in Northwest Yunnan Province,China

作　　者：邓国富 李明启[1] Deng,G.F.;Li,M.Q.(Key Laboratory of Land Pattern and Simulation,Institute of Geographic Science and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China;University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[1]中国科学院地理科学与资源研究所,陆地表层格局与模拟重点实验室,北京100101 [2]中国科学院大学,北京100049

出　　处：《全球变化数据学报（中英文）》2022年第3期330-338,V0330-V0338,共18页Journal of Global Change Data & Discovery

基　　金：国家自然科学基金(41977391,41630529,41571194);中华人民共和国科学技术部(2017YFA0603302)。

摘　　要：作者于2012、2019年11月在云南省贡山独龙族怒族自治县境内(98.48°E,27.78°N,海拔高度3,245 m)采集了苍山冷杉(Abies delavayi Franch.)的树轮样芯,然后,运用X射线法获取了树轮密度数据。本文选取27棵树51根样芯的晚材最大密度数据,利用ARSTAN程序去除趋势(采用步长为67%序列长度的样条函数,拟合树木生长趋势)与标准化,建立了1678–2019年的晚材最大密度年表,将树轮密度年表与该县1951–2019年气候变量进行相关分析。结果表明晚材最大密度的差值年表与9–10月的平均气温相关性最高。在此基础上,利用一元线性回归方程,重建了滇西北地区1678–2019年9–10月的平均气温数据,重建的方差解释量为33%。该重建方程通过了留一法交叉验证,缩减误差值为0.29,表明该重建序列稳定可靠。此外,该重建序列与滇西北邻近地区重建的晚夏平均气温序列相关系为0.458–0.526。该数据集内容包括:(1)采样点的地理位置数据;(2)树轮样芯的基本统计特征;(3)苍山冷杉晚材最大密度差值年表与滇西北9–10月平均气温重建序列;(4)苍山冷杉晚材最大密度差值年表统计信息;(5)重建所用的1951–2019年格点气温数据。数据集存储为.kml、.shp和.xlsx格式,由7个数据文件组成,数据量为56.5 KB。Tree-ring cores were collected from Abies delavayi Franch.in November 2012 and 2019.The sampling site was in Gongshan Dulong and Nu autonomous county,Yunnan province(98.48°E,27.78°N;3,245 m a.s.l.).X-ray imaging was employed to obtain density data.Then,the program ARSTAN was used to detrend and normalize the data,in which a 67%cubic smoothing spline with a 50%cut-off frequency was employed to fit the growth trend.Ultimately,we retained the maximum latewood density(MXD)of 51 cores from 27 trees for establishing a chronology of the period 1678–2019.Based on the correlations between MXD and climate variables,the residual chronology of MXD showed its strongest correlation with the September–October mean temperature(T9–10).Thus,a transfer function was established with a linear regression model to reconstruct the T9–10 during the past 342 years(1678–2019),with an explained variance of 33%during the instrumental period.Leave-one-out cross-validation showed the robustness of the reconstruction,with a reduction of error reaching 0.29.Furthermore,the temperature series correlated positively with other reconstructions in the surrounding areas,with correlation coefficients of 0.458–0.526.The dataset includes:(1)geographical information of the sampling site;(2)the statistical characteristics of tree-ring cores;(3)the residual chronology of the MXD for A.delavayi and its reconstructed series of T9–10;(4)the tree-ring residual chronology statistics of the MXD for A.delavayi;and(5)the temperature data used for the reconstruction.The dataset is archived in.shp and.xlsx data formats,and consists of seven data files with a total data size of 56.5 KB(compressed to a single 52.5 KB file).

关 键 词：滇西北 晚材最大密度 气温重建 长年表 

分 类 号：P423[天文地球—大气科学及气象学]