TY - GEN
T1 - The nonlinear variation of annual average temperature in the Yangtze Delta and its correlation with global oscillations
AU - Song, Chunan
AU - Xu, Jianhua
PY - 2011
Y1 - 2011
N2 - Climate change has been a major issue for scholars under the background of global warming. Yangtze Delta is one of major economic regions in China. How the temperature of the Yangtze Delta changes in the past decades and if this change has some relation to global climate change? To answer these questions, this paper tries to find the relationship between the temperature's change in the Yangtze Delta and five global oscillations from the point of multiple time scales, by using wavelet regression analysis method. The main findings are as follows: (1) at the larger time scale, like 32-year and 16-year scale, the annual average temperature in the Yangtze Delta presents an increasing trend. But at 8-year and 4-year scale, the temperature fluctuates obviously, and the 4-year scale is much more obviously. (2) The annual average temperature change in the Yangtze Delta associates closely with 5 global oscillations and the correlation becomes better while the time scale enlarged. Moreover, we could find that four oscillation indices (NAOI, PDOI, AOI and AAOI) have an active correlation with the annual average temperature in the Yangtze Delta. But for SOI, the correlation is negative. The reason for these is because of their different formations. Because latitude circulation is the main reason, the oscillations (NAO, AO and AAO) have closer association with the temperature in the Yangtze Delta.
AB - Climate change has been a major issue for scholars under the background of global warming. Yangtze Delta is one of major economic regions in China. How the temperature of the Yangtze Delta changes in the past decades and if this change has some relation to global climate change? To answer these questions, this paper tries to find the relationship between the temperature's change in the Yangtze Delta and five global oscillations from the point of multiple time scales, by using wavelet regression analysis method. The main findings are as follows: (1) at the larger time scale, like 32-year and 16-year scale, the annual average temperature in the Yangtze Delta presents an increasing trend. But at 8-year and 4-year scale, the temperature fluctuates obviously, and the 4-year scale is much more obviously. (2) The annual average temperature change in the Yangtze Delta associates closely with 5 global oscillations and the correlation becomes better while the time scale enlarged. Moreover, we could find that four oscillation indices (NAOI, PDOI, AOI and AAOI) have an active correlation with the annual average temperature in the Yangtze Delta. But for SOI, the correlation is negative. The reason for these is because of their different formations. Because latitude circulation is the main reason, the oscillations (NAO, AO and AAO) have closer association with the temperature in the Yangtze Delta.
KW - Yangtze Delta
KW - annual average temperature
KW - global oscillations
KW - nonlinear variation
KW - wavelet regression analysis
UR - https://www.scopus.com/pages/publications/79960738866
U2 - 10.1109/ISWREP.2011.5893724
DO - 10.1109/ISWREP.2011.5893724
M3 - 会议稿件
AN - SCOPUS:79960738866
SN - 9781612843377
T3 - ISWREP 2011 - Proceedings of 2011 International Symposium on Water Resource and Environmental Protection
SP - 2292
EP - 2295
BT - ISWREP 2011 - Proceedings
T2 - 2011 International Symposium on Water Resource and Environmental Protection, ISWREP 2011
Y2 - 20 May 2011 through 22 May 2011
ER -
