Abstract
Climate variability has become a hot topic worldwide in recent years. Although large numbers of climate data series have been reconstructed based on hundreds to thousands, or even tens of thousands, of years, our understanding of this problem is still controversial. We use the precipitation index (PI) series to study the periodicity of the precipitation in northern China from 1870 to 2002 and explore the climate variability on a large timescale. The analysis shows that the precipitation has periods of 2.27–3.03, 7.14, 10.00, 11.11, 12.50, 14.29, 16.67, 20.00, and 25.00 a. Based on complete ensemble empirical mode decomposition (CEEMD), the Pacific sea surface temperature (SST) and Pacific interdecadal oscillation (PDO) are decomposed into different frequencies. The results show that the SST and PDO have interannual to interdecadal periodicity. To determine the impact of the Pacific SST and PDO on the PI, we make use of the cross wavelet power spectrum and wavelet coherency spectrum to analyze their period relation and reveal their periodic change characteristics; it is found that different bands of the Pacific SST, PDO, and PI have high power.
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Acknowledgments
This work has been supported by the National Natural Science Foundation of China [grant no. 41271410 and no. 41071253]. The authors would like to thank the handling editor and anonymous reviewers for their careful reading and helpful remarks.
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Bi, S., Qu, Y., Bi, S. et al. Multi-scale impacts of the Pacific SST and PDO on the summer precipitation of North-Central China from 1870 to 2002. Theor Appl Climatol 132, 953–963 (2018). https://doi.org/10.1007/s00704-017-2145-2
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DOI: https://doi.org/10.1007/s00704-017-2145-2