Abstract
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”.
Highlights
Global climate changes are controlled by major periodic factors that represent basic principles in climatology, such as solar radiation, atmospheric circulation and oceans
The first is to identify periodic functions that perfectly match all of the monthly anomaly data for global land surface temperature (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 K-line diagram signals that coincide with GLST anomalies occurred in El Niño years
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
Summary
Global climate changes are controlled by major periodic factors that represent basic principles in climatology, such as solar radiation, atmospheric circulation and oceans. A number of scientists subjectively consider that the recent dramatic upward trends in monthly GLST anomalies represent non-periodic and irreversible changes and postulate that warming related to the global greenhouse effect has primarily been caused by anthropogenic emissions. According to this viewpoint, in the historical data of the monthly SST anomalies, we would find out some significant information. This study can help us to know whether there were some dramatic rises signals existed in the historical data of the monthly SST anomalies. This information would help us to link the monthly GLST anomalies with oceans. We have analyzed the monthly GLST anomaly data using the K-line diagram technique to determine if the annual dramatic upward (or downward) monthly GLST anomaly signals are highly associated with El Niño and La Niña years
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