Seasonal changes in central England temperatures

The aim of this paper is to assess how climate change is reflected in the variation of the seasonal patterns of the monthly Central England Temperature time series between 1772 and 2013. In particular, we model changes in the amplitude and phase of the seasonal cycle. Starting from the seminal work by Thomson (“The Seasons, Global Temperature and Precession”, Science, 7 April 1995, vol 268, p. 59–68), a number of studies have documented a shift in the phase of the annual cycle implying an earlier onset of the spring season at various European locations. A significant reduction in the amplitude of the seasonal cycle is also documented. The literature so far has concentrated on the measurement of this phenomenon by various methods, among which complex demodulation and wavelet decompositions are prominent. We offer new insight by considering a model that allows for seasonally varying deterministic and stochastic trends, as well as seasonally varying autocorrelation and residual variances. The model can be summarized as containing a permanent and a transitory component, where global warming is captured in the permanent component, on which the seasons load differentially. The phase of the seasonal cycle, on the other hand, seems to follow Earth’s precession in a stable manner, and the reported fluctuations are identified as transitory.

[1]  C. Parmesan Influences of species, latitudes and methodologies on estimates of phenological response to global warming , 2007 .

[2]  Walter Krämer,et al.  Econometrics of Structural Change , 2012 .

[3]  N. Haldrup,et al.  Space-time modeling of electricity spot prices , 2017 .

[4]  R. Thompson,et al.  Is spring starting earlier? , 2008 .

[5]  P. Hansen,et al.  A Markov Chain Estimator of Multivariate Volatility from High Frequency Data , 2015 .

[6]  T. Clutton‐Brock,et al.  Trophic level asynchrony in rates of phenological change for marine, freshwater and terrestrial environments , 2010 .

[7]  David F. Findley,et al.  New Capabilities and Methods of the X-12-ARIMA Seasonal-Adjustment Program , 1998 .

[8]  Dick J. C. van Dijk,et al.  Dynamic Factor Models for the Volatility Surface , 2015 .

[9]  David B. Stephenson,et al.  The Variability of Seasonality , 2005 .

[10]  W. Newey,et al.  A Simple, Positive Semi-Definite, Heteroskedasticity and Autocorrelationconsistent Covariance Matrix , 1986 .

[11]  Tommaso Proietti,et al.  EuroMInd-D: A Density Estimate of Monthly Gross Domestic Product for the Euro Area , 2015 .

[12]  Henri Nyberg,et al.  International Sign Predictability of Stock Returns: The Role of the United States , 2016 .

[13]  P. Hansen A Martingale Decomposition of Discrete Markov Chains , 2015 .

[14]  S. Johansen,et al.  Data Revisions and the Statistical Relation of Global Mean Sea-Level and Temperature , 2015 .

[15]  P. Phillips,et al.  Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root? , 1992 .

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

[17]  G. Manley Central England temperatures: Monthly means 1659 to 1973 , 1974 .

[18]  Andrew Harvey,et al.  Forecasting, Structural Time Series Models and the Kalman Filter. , 1991 .

[19]  P. Saikkonen,et al.  Identification and estimation of non-Gaussian structural vector autoregressions , 2015 .

[20]  Siem Jan Koopman,et al.  A simple and efficient simulation smoother for state space time series analysis , 2002 .

[21]  C. Chatfield,et al.  Fourier Analysis of Time Series: An Introduction , 1977, IEEE Transactions on Systems, Man, and Cybernetics.

[22]  David J. Thomson,et al.  The Seasons, Global Temperature, and Precession , 1995, Science.

[23]  N. Kiefer,et al.  Counting Processes for Retail Default Modeling , 2015 .

[24]  J. Nyblom,et al.  Comparisons of Tests for the Presence of Random Walk Coefficients in a Simple Linear Model , 1983 .

[25]  Rasmus T. Varneskov,et al.  A local stable bootstrap for power variations of pure-jump semimartingales and activity index estimation , 2015 .

[26]  I. Fung,et al.  Changes in the phase of the annual cycle of surface temperature , 2009, Nature.

[27]  Anil K. Bera,et al.  A test for normality of observations and regression residuals , 1987 .

[28]  Andrew Harvey,et al.  Seasonality Tests , 2003 .

[29]  Tim Bollerslev,et al.  Exploiting the errors: A simple approach for improved volatility forecasting , 2016 .

[30]  Mark D. Schwartz,et al.  Changes in North American spring , 2000 .

[31]  Anders Rahbek,et al.  Modeling corporate defaults: Poisson autoregressions with exogenous covariates (PARX) , 2016 .

[32]  Anders Rahbek,et al.  Nonstationary ARCH and GARCH with t-Distributed Innovations , 2015 .

[33]  D. Parker,et al.  A new daily central England temperature series, 1772–1991 , 1992 .

[34]  Siem Jan Koopman,et al.  Time Series Analysis by State Space Methods , 2001 .

[35]  Jukka Nyblom Testing for Deterministic Linear Trend in Time Series , 1986 .

[36]  P. Franses,et al.  Asymptotically perfect and relative convergence of productivity , 2000 .

[37]  Hossein Asgharian,et al.  Effects of Macroeconomic Uncertainty upon the Stock and Bond Markets , 2015 .

[38]  M. A. Tanner,et al.  Tools for Statistical Inference: Methods for the Exploration of Posterior Distributions and Likelihood Functions, 3rd Edition , 1998 .

[39]  Andrew Harvey,et al.  TESTS OF COMMON STOCHASTIC TRENDS , 2000, Econometric Theory.