Multiscale characteristics of the early spring temperature and response to climate indices over the past 179 years in the Qinling Mountains

iForest: Biogeosciences and Forestry

article

Chenhua Zhang¹  Jiachuan Wang¹  Shuheng Li¹  Li Hou¹ 

[1] College of Urban and Environmental Sciences, Northwest University;Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Northwest University

关键词: Temperature;    Ensemble Empirical Mode Decomposition;    Time Scale;    Qinling Mountains;   

DOI  :  10.3832/ifor4069-015

学科分类：社会科学、人文和艺术（综合）

来源: Societa Italiana di Selvicoltura ed Ecologia Forestale (S I S E F)

【 摘 要 】

Examination of the periodic differences in temperature in the Qinling Mountains at different time scales is highly important in research on the long-term evolution of the regional climate system and ecological environment. Based on February-April temperature data from 1835 to 2013 obtained at 27 weather stations in the Qinling Mountains reconstructed through tree rings, the multiscale characteristics of the early spring temperature time series on the southern and northern slopes of the Qinling Mountains and the response to climate signals were analyzed. The results indicate that the early spring temperature in the Qinling Mountains exhibits significant periodic characteristics on multiple time scales. Reconstruction at the different time scales reveals that the interannual scale change in the temperature variation on the northern slope of the Qinling Mountains plays a decisive role. The temperature on the northern slope exhibits a higher amplitude at the interannual and interdecadal scales than does that on the southern slope, and temporal differences occur at the quasi-century scale. The temperature achieves the strongest correlation with the original Atlantic Multidecadal Oscillation (AMO) sequence during the entire study period. In addition, the different time scales reveal that a significant response relationship exists between the temperature at the interannual scale and the May sea temperature in the NINO3.4 area, which lags by one year. At the different time scales and various time ranges, the Qinling early spring temperature responds differently to the climate signals, which is an important factor leading to a lower correlation during the entire study period.

【 授权许可】

Unknown