Time scales of the European surface air temperature variability: The role of the 7–8 year cycle

Air temperature variability on different time scales exhibits recurring patterns and quasi-oscillatory phenomena. Climate oscillations with the period about 7–8 years have been observed in many instrumental records in Europe. Although these oscillations are weak if considering their amplitude, they might have nonnegligible influence on temperature variability on shorter time scales due to cross-scale interactions recently observed by Palus (2014). In order to quantify the cross-scale influence, we propose a simple conditional mean approach which estimates the effect of the cycle with the period close to 8 years on the amplitude of the annual cycle in surface air temperature (SAT) in the range 0.7–1.4°C and the effect on the overall variability of the SAT anomalies (SATA) leads to the changes 1.5–1.7°C in the annual SATA means. The strongest effect in the winter SATA means reaches 4–5°C in central European station and reanalysis data.

[1]  M. Paluš,et al.  Nonlinear Processes in Geophysics , 2000 .

[2]  Milan Paluš,et al.  Multiscale atmospheric dynamics: cross-frequency phase-amplitude coupling in the air temperature. , 2014, Physical review letters.

[3]  David Pozo-Vázquez,et al.  Spectral characteristics and predictability of the NAO assessed through Singular Spectral Analysis , 2002 .

[4]  M. Paluš,et al.  Detecting modes with nontrivial dynamics embedded in colored noise: enhanced Monte Carlo SSA and the case of climate oscillations , 1998 .

[5]  Michael Ghil,et al.  Oscillatory Climate Modes in the Eastern Mediterranean and Their Synchronization with the North Atlantic Oscillation , 2010 .

[6]  Michael Ghil,et al.  Predicting stochastic systems by noise sampling, and application to the El Niño-Southern Oscillation , 2011, Proceedings of the National Academy of Sciences.

[7]  Sergey Kravtsov,et al.  Atlantic Multidecadal Oscillation and Northern Hemisphere’s climate variability , 2010, Climate Dynamics.

[8]  Climate impacts of the NAO are sensitive to how the NAO is defined , 2015, Theoretical and Applied Climatology.

[9]  A. Sen,et al.  Analysis of monthly, winter, and annual temperatures in Zagreb, Croatia, from 1864 to 2010: the 7.7-year cycle and the North Atlantic Oscillation , 2016, Theoretical and Applied Climatology.

[10]  M. Ghil,et al.  Oscillatory modes of extended Nile River records (A.D. 622–1922) , 2005 .

[11]  W. Soon,et al.  Time scales and trends in the central England temperature data (1659–1990): A wavelet analysis , 1997 .

[12]  James Theiler,et al.  Testing for nonlinearity in time series: the method of surrogate data , 1992 .

[13]  K. Hlavácková-Schindler,et al.  Causality detection based on information-theoretic approaches in time series analysis , 2007 .

[14]  Leonard A. Smith,et al.  Monte Carlo SSA: Detecting irregular oscillations in the Presence of Colored Noise , 1996 .

[15]  Michael Ghil,et al.  Multivariate singular spectrum analysis and the road to phase synchronization. , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.

[16]  P. Jones,et al.  A European daily high-resolution gridded data set of surface temperature and precipitation for 1950-2006 , 2008 .

[17]  Anders Moberg,et al.  Daily dataset of 20th‐century surface air temperature and precipitation series for the European Climate Assessment , 2002 .

[18]  Milan Paluš,et al.  Non-random correlation structures and dimensionality reduction in multivariate climate data , 2015, Climate Dynamics.

[19]  Rudolf Brázdil,et al.  Cycles and trends in the Czech temperature series using wavelet transforms , 2004 .

[20]  Xiang Ji Testing for Nonlinearity in Time Series Based on the Fuzzy Entropy , 2014 .

[21]  C. Torrence,et al.  A Practical Guide to Wavelet Analysis. , 1998 .

[22]  N. Hengartner,et al.  Imprint of the Atlantic multi-decadal oscillation and Pacific decadal oscillation on southwestern US climate: past, present, and future , 2014, Climate Dynamics.

[23]  M. Ghil,et al.  Interannual and Interdecadal Variability in 335 Years of Central England Temperatures , 1995, Science.

[24]  N. Hengartner,et al.  The Atlantic Multidecadal Oscillation as a dominant factor of oceanic influence on climate , 2014 .

[25]  J. Grieser,et al.  Statistical time series decomposition into significant components and application to European temperature , 2002 .

[26]  James W. Hurrell,et al.  North Atlantic climate variability: phenomena, impacts and mechanisms , 2001 .

[27]  R. Vautard,et al.  Singular-spectrum analysis: a toolkit for short, noisy chaotic signals , 1992 .

[28]  T. Benner Central England temperatures: long‐term variability and teleconnections , 1999 .

[29]  J. Mikšovský,et al.  An analysis of the spatial distribution of approximate 8 years periodicity in NCEP/NCAR and ERA-40 temperature fields , 2009 .

[30]  Climatology and long-term variability of the annual cycle of air temperature over Europe , 2007 .

[31]  P. Štěpánek,et al.  Temperature and precipitation fluctuations in the Czech Republic during the period of instrumental measurements , 2012, Theoretical and Applied Climatology.

[32]  M. Ghil,et al.  Monte Carlo Singular Spectrum Analysis (SSA) Revisited: Detecting Oscillator Clusters in Multivariate Datasets , 2015 .

[33]  Petr Tichavský,et al.  Shifts of seasons at the European mid‐latitudes: Natural fluctuations correlated with the North Atlantic Oscillation , 2005 .

[34]  L. Bodri,et al.  Ground-air temperature tracking and multi-year cycles in the subsurface temperature time series at geothermal climate-change observatory , 2014, Studia Geophysica et Geodaetica.