Abstract

Wavelet analysis of time series of surface air temperature and sums of precipitation in some cities of European Russia, with an estimate of the statistical significance of the obtained results is carried out with the purpose of identifying periodicities in the data of station meteorological observations. A cross-wavelet analysis was used to establish a link between variations in series of temperature and precipitation with important climate indices such as the North Atlantic oscillation (NAO), Atlantic multidecade oscillation (AMO) and Arctic oscillation (AO). A number of important cycles in different frequency ranges is identified. Cross-wavelet analysis of the NAO, AO with precipitation and temperature series showed a higher density of links compared to AMO. The strong link of high frequency oscillations in precipitation and temperature of the study area with fluctuations of the NAO, AMO and AO is established that can be determined not only by these climate indices, but the relationship of these Atlantic fluctuations with the El Nino phenomenon. Possibly, mid-frequency oscillations of meteorological data of the area with periods of 7–11 years are the evidence of the link with the fluctuation of the NAO. The established coherence of the index of the AMO and observational data is localized at time intervals before and after 1970, which is consistent with quasi-cyclic changes in the Earth’s climate.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.