基于小波变换的黑龙江省西部生长季日照时数序列多时间尺度分析

Multi-Time Scales Analysis of Growing Season Sunshine Duration Series Based on Wavelet Analysis in the West Region of Heilongjiang Province

利用小波变换分析对生长季日照时数时间序列的多时间尺度变化及突变特征进行了探讨。小波变换分析即可以分析生长季日照时数时间序列在时间域上频率特征,同时能够清晰地分析不同时间尺度上的强弱变化和分布情况以及日照长短的变化趋势和突变点,并且还能分析出生长季日照时数主要周期。以黑龙江省西部甘南县生长季（5~9月）日照时数为例,通过分析表明：生长季日照时数年际及年代际时间尺度在时域中分布不均匀,具有明显的局部化特征;同时分析出生长季日照时数具有8年和22年的周期。

Based on growing season（May-September） sunshine duration time series of Gannan County in the west region of Heilongjiang Province,changes in multi-time scale and jump characteristics of sunshine duration time series were probed with Morlet wavelet transform.Wavelet transform could clearly demonstrate all kinds of characteristics of sunshine duration time series： the strength and distribution of time scales,the change trend and jump,major cycles of sunshine dwring growing season.The time scales of growing season sunshine duration time series were uneven in time domain.The growing season sunshine duration had 8 and 22 year periods.