Granger Causality Analyses for Climatic Attribution

This review paper focuses on the application of the Granger causality technique to the study of the causes of recent global warming (a case of climatic attribution). A concise but comprehensive review is performed and particular attention is paid to the direct role of anthropogenic and natural forcings, and to the influence of patterns of natural variability. By analyzing both in-sample and out-of-sample results, clear evidences are obtained (e.g., the major role of greenhousegases radiative forcing in driving temperature, a recent causal decoupling between solar irradiance and temperature itself) together with interesting prospects of further research.

[1]  J. Stock,et al.  Interpreting Evidence on Money-Income Causality , 1987 .

[2]  A. F. de Vos,et al.  Greenhouse statistics-time series analysis , 1993 .

[3]  Umberto Triacca,et al.  Detecting human influence on climate using neural networks based Granger causality , 2011 .

[4]  Richard Schmalensee,et al.  Advertising and aggregate consumption: an analysis of causality , 1980 .

[5]  P. Stauning Solar activity–climate relations: A different approach , 2011 .

[6]  Cees Diks,et al.  Redundancies in the Earth's climatological time series , 2000 .

[7]  D. Stephenson,et al.  Granger Causality of Coupled Climate Processes: Ocean Feedback on the North Atlantic Oscillation , 2006 .

[8]  A. Pasini,et al.  Neural network modelling for the analysis of forcings/temperatures relationships at different scales in the climate system , 2006 .

[9]  D. Stern,et al.  Evidence for human influence on climate from hemispheric temperature relations , 1997, Nature.

[10]  K. Seto,et al.  Climate Response to Rapid Urban Growth: Evidence of a Human-Induced Precipitation Deficit , 2007 .

[11]  Peter C. B. Phillips,et al.  Statistical Inference in Regressions with Integrated Processes: Part 2 , 1989, Econometric Theory.

[12]  Hiro Y. Toda,et al.  Statistical inference in vector autoregressions with possibly integrated processes , 1995 .

[13]  C. Granger Investigating causal relations by econometric models and cross-spectral methods , 1969 .

[14]  Antonello Pasini,et al.  Evidence of recent causal decoupling between solar radiation and global temperature , 2012 .

[15]  Michael W. McCracken Asymptotics for out of sample tests of Granger causality , 2007 .

[16]  Jonathan D. Cryer,et al.  Time Series Analysis , 1986 .

[17]  Mike Lockwood,et al.  Recent oppositely directed trends in solar climate forcings and the global mean surface air temperature , 2007, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[18]  James B. Elsner,et al.  Granger causality and Atlantic hurricanes , 2007 .

[19]  Helmut Lütkepohl,et al.  Non-causality due to omitted variables , 1982 .

[20]  Juergen Kurths,et al.  Alternating mutual influence of El‐Niño/Southern Oscillation and Indian monsoon , 2011 .

[21]  J. Stock,et al.  INFERENCE IN LINEAR TIME SERIES MODELS WITH SOME UNIT ROOTS , 1990 .

[22]  Rocco Langone,et al.  Attribution of Precipitation Changes on a Regional Scale by Neural Network Modeling: A Case Study , 2010 .

[23]  Muhong Wang,et al.  Global warming and global dioxide emission : An empirical study , 1996 .

[24]  G. Hegerl,et al.  Understanding and Attributing Climate Change , 2007 .

[25]  Norman R. Swanson,et al.  OUT-OF-SAMPLE TESTS FOR GRANGER CAUSALITY , 2001, Macroeconomic Dynamics.

[26]  William W. Hsieh,et al.  The impact of time‐averaging on the detectability of nonlinear empirical relations , 2002 .

[27]  Rocco Langone,et al.  Influence of Circulation Patterns on Temperature Behavior at the Regional Scale: A Case Study Investigated via Neural Network Modeling , 2012 .

[28]  Antonello Pasini,et al.  A contribution to attribution of recent global warming by out‐of‐sample Granger causality analysis , 2012 .

[29]  Umberto Triacca,et al.  Is Granger causality analysis appropriate to investigate the relationship between atmospheric concentration of carbon dioxide and global surface air temperature? , 2005 .

[30]  J. Elsner Evidence in support of the climate change–Atlantic hurricane hypothesis , 2006 .

[31]  Umberto Triacca,et al.  On the use of Granger causality to investigate the human influence on climate , 2001 .

[32]  A. Pasini From Observations to Simulations: A Conceptual Introduction to Weather and Climate Modelling , 2005 .

[33]  Norman R. Swanson,et al.  An Out of Sample Test for Granger Causality , 2000 .

[34]  Alessandro Attanasio,et al.  Testing for linear Granger causality from natural/anthropogenic forcings to global temperature anomalies , 2012, Theoretical and Applied Climatology.

[35]  P. Thejll,et al.  The cause‐and‐effect relationship of solar cycle length and the Northern Hemisphere air surface temperature , 2001 .

[36]  Christophe Croux,et al.  Multivariate Out-of-Sample Tests for Granger Causality , 2006, Comput. Stat. Data Anal..

[37]  D. Smirnov,et al.  Diagnostics of a cause-effect relation between solar activity and the Earth’s global surface temperature , 2008 .

[38]  Umberto Triacca,et al.  Anthropogenic global warming hypothesis: testing its robustness by Granger causality analysis , 2013 .

[39]  Todd E. Clark Can Out-of-Sample Forecast Comparisons Help Prevent Overfitting? , 2000 .

[40]  Richard S. J. Tol,et al.  A Bayesian Statistical Analysis of the Enhanced Greenhouse Effect , 1998 .

[41]  Ranga B. Myneni,et al.  The effect of vegetation on surface temperature: A statistical analysis of NDVI and climate data , 2003 .

[42]  Snigdhansu Chatterjee,et al.  Exploring Granger causality between global average observed time series of carbon dioxide and temperature , 2011 .