Contemporary references to global warming pertain to the dramatic increase in monthly global land surface temperature (GLST) anomalies since 1976. In this paper, we argue that recent global warming is primarily a result of natural causes; we have established three steps that support this viewpoint. The first is to identify periodic functions that perfectly match all of the monthly anomaly data for GLST; the second is to identify monthly sea surface temperature (SST) anomalies that are located within different ocean basin domains and highly correlated with the monthly GLST anomalies; and the third is to determine whether the dramatically increasing (or dramatically decreasing) K-line diagram signals that coincide with GLST anomalies occurred in El Niño years (or La Niña years). We have identified 15,295 periodic functions that perfectly fit the monthly GLST anomalies from 1880 to 2013 and show that the monthly SST anomalies in six domains in different oceans are highly correlated with the monthly GLST anomalies. In addition, most of the annual dramatically increasing GLST anomalies occur in El Niño years; and most of the annual dramatically decreasing GLST anomalies occur in La Niña years. These findings indicate that the “ocean stabilization machine” might represent a primary factor underlying the effect of “global warming on climate change”.
Tan, J. (2015) A Most-Recognized Principle to Define El Niño and La Niña Years Based on the K-Line Diagram Technique. International Journal of Climatology, 35, 2777-2782. https://doi.org/10.1002/joc.4171
Mcphaden, M.J., Timmermann, A., Widlansky, M.J., Balmaseda, M.A. and Stockdale, T.N. (2015) The Curious Case of the EL NIÑO That Never Happened. Bulletin of the American Meteorological Society, 96, 1647-1665. https://doi.org/10.1175/BAMS-D-14-00089.1