Journal of Atmospheric and Solar-Terrestrial Physics
Empirical evidence for a celestial origin of the climate oscillations and its implications
Introduction
Milankovic (1941) theorized that variations in eccentricity, axial tilt, and precession of the orbit of the Earth determine climate patterns such as the 100,000 year ice age cycles of the Quaternary glaciation over the last few million years. The variation of the orbital parameters of the Earth is due to the gravitational perturbations induced by the other planets of the solar system, primarily Jupiter and Saturn. Over a much longer time scale the cosmic-ray flux record well correlates with the warm and ice periods of the Phanerozoic during the last 600 million years: the cosmic-ray flux oscillations are likely due to the changing galactic environment of the solar system as it crosses the spiral arms of the Milky Way (Shaviv, 2003, Shaviv, 2008, Shaviv and Veizer, 2003, Svensmark, 2007). Over millennial and secular time scales several authors have found that variations in total solar irradiance and variations in solar modulated cosmic-ray flux well correlate with climate changes: see for example: Eddy, 1976, Hoyt and Schatten, 1997, White et al., 1997, van Loon and Labitzke, 2000, Bond et al., 2001, Kerr, 2001, Douglass and Clader, 2002, Kirkby, 2007, Scafetta and West, 2005, Scafetta and West, 2007, Scafetta and West, 2008, Shaviv, 2008, Eichler et al., 2009, Soon, 2009, Meehl et al., 2009, Scafetta, 2009, Scafetta, 2010. Also the annual cycle has an evident astronomical origin.
The above results suggest that the dominant drivers of the climate oscillations have a celestial origin. Therefore, it is legitimate to investigate whether the climate oscillations with a time scale between 1 and 100 years can be interpreted in astronomical terms too.
Global surface temperature has risen (Brohan et al., 2006) by about 0.8 and 0.5 °C since 1900 and 1970, respectively. Humans may have partially contributed to this global warming through greenhouse gas (GHG) emissions (IPCC, 2007). For instance, the IPCC claims that more than 90% of the observed warming since 1900 and practically 100% of the observed warming since 1970 have had an anthropogenic origin (see figure 9.5 in IPCC, AR4-WG1). The latter conclusion derives merely from the fact that the climate models referenced by the IPCC cannot explain the warming occurred since 1970 with any known natural mechanism. Therefore, several scientists have concluded that this warming has been caused by anthropogenic GHG emissions that greatly increased during this same period. This theory is known as the anthropogenic global warming theory (AGWT).
However, the anthropogenic GHG emissions have increased monotonically since 1850 while the global temperature record has not. Several oscillations are seen in the data since 1850, including a global cooling since 2002: see Fig. 1. If these climate oscillations are natural, for example induced by astronomical oscillations, they would determine how climate change should be interpreted (Keenlyside et al., 2008). In fact, during its cooling phase a natural multi-decadal oscillation can hide a global warming caused by human GHG emissions or, alternatively, during its warming phase a natural oscillation can accentuate the warming. If the natural oscillations of the climate are not properly recognized and taken into account, important climate patterns, for example the global warming observed from 1970 to 2000, can be erroneously interpreted. Indeed, part of the 1970–2000 warming could have been induced by a multi-decadal natural cycle during its warming phase that the climate models used by the IPCC have not reproduced.
The IPCC (2007) claims that the climate oscillations are induced by some still poorly understood and modeled internal dynamics of the climate system, such as the ocean dynamics. However, the oscillations of the atmosphere and of the ocean, such as the Pacific Decadal Oscillation (PDO) and the Atlantic Multidecadal Oscillation (AMO), may be induced by complex extraterrestrial periodic forcings that are acting on the climate system in multiple ways. Indeed, the climate system is characterized by interesting cyclical patterns that remind astronomical cycles.
For example, surface temperature records are characterized by decadal and bi-decadal oscillations which are usually found in good correlation with the (11-year) Schwabe and the (22 year) Hale solar cycles (Hoyt and Schatten, 1997, Scafetta and West, 2005, Scafetta, 2009). However, longer cycles are of interest herein.
Klyashtorin and Lyubushin (2007) and Klyashtorin et al. (2009) observed that several centuries of climate records (ice core sample, pine tree samples, sardine and anchovy sediment core samples, global surface temperature records, atmospheric circulation index, length of the day index, fish catching productivity records, etc.) are characterized by large 50–70 year and 30-year periodic cycles. The quasi-60 year periodicity has been also found in secular monsoon rainfall records from India, in proxies of monsoon rainfall from Arabian Sea sediments and in rainfall over east China (for example see the following works and their references: Agnihotri et al., 2002, Sinha et al., 2005, Goswami et al., 2006, Yadava and Ramesh, 2007). Thus, several records indicate that the climate is characterized by a large quasi-60 year periodicity, plus larger secular climatic cycles and smaller decadal cycles. All these cycles cannot be explained with anthropogenic emissions. Errors in the data, other superimposed patterns (for example, volcano effects and longer and shorter cycles) and some chaotic pattern in the dynamics of these signals may sometimes mask the 60-year cycle.
A multi-secular climatic record that shows a clear quasi-60 year oscillation is depicted in Fig. 2: the G. Bulloides abundance variation record found in the Cariaco Basis sediments in the Caribbean sea since 1650 (Black et al., 1999). This record is an indicator of the trade wind strength in the tropical Atlantic ocean and of the north Atlantic ocean atmosphere variability. This record shows five 60-year large cycles. These cycles correlate well with the 60-year modulation of the global temperature observed since 1850 (the correlation is negative). On longer time scales, periods of high G. Bulloides abundance correlate well with periods of reduced solar output (the well-known Maunder, Spörer, and Wolf minima), suggesting a solar forcing origin of these cycles (Black et al., 1999).
Patterson et al. (2004) found 60–62 year cycles in sediments and cosmogenic nuclide records in the NE Pacific. Komitov (2009) found similar cycles in the number of the middle latitude auroras from 1700 to 1900. Cycles of about 60 years have been detected in the number of historically recorded meteorite falls in China from AD 619 to 1943 and in the number of witnessed falls in the world from 1800 to 1974 (Yu et al., 1983). Ogurtsov et al. (2002) found a 60–64 year cycle in 10Be, 14C and Wolf number over the past 1000 years. The existence of a 60-year signal has been found in the Earth's angular velocity and in the geomagnetic field (Roberts et al., 2007). These results clearly suggest an astronomical origin of the 60-year variability found in several climatic records.
Interestingly, the traditional Chinese calendar, whose origins can be traced as far back as the 14th century BCE, is arranged in major 60-year cycles (Aslaksen, 1999). Each year is assigned a name consisting of two components. The first component is one of the 10 Heavenly Stems (Jia, Yi, Bing, etc.), while the second component is one of the 12 Earthly Branches that features the names of 12 animals (Zi, Chou, Yin, etc.). Every 60 years the stem-branch cycle repeats. Perhaps, this sexagenary cyclical calendar was inspired by climatic and astronomical observations.
Some studies (Jose, 1965, Landscheidt, 1988, Landscheidt, 1999, Charvátová, 1990, Charvátová, 2009, Charvátová and Střeštík, 2004, Mackey, 2007, Wilson et al., 2008, Hung, 2007) suggested that solar variation may be driven by the planets through gravitational spin–orbit coupling mechanisms and tides. These authors have used the inertial motion of the Sun around the center of mass of the solar system (CMSS) as a proxy for describing this phenomenon. Then, a varying Sun would influence the climate by means of several and complicated mechanisms and feedbacks (Idso and Singer, 2009). Indeed, tidal patterns on the Sun well correlate with large solar flare occurrences, and the alignment of Venus, Earth and Jupiter well synchronizes with the 11-year Schwabe solar cycle (Hung, 2007).
In addition, the Earth–Moon system and the Earth's orbital parameters can also be directly modulated by the planetary oscillating gravitational and magnetic fields, and synchronize with their frequencies (Scafetta, 2010). The Moon can influence the Earth through gravitational tides and orbital oscillations (Keeling and Whorf, 1997, Keeling and Whorf, 2000, Munk and Wunsch, 1998, Munk and Bills, 2007).
It could be argued that planetary tidal forces are weak and unlikely have any physical outcome. It can also be argued that the tidal forces generated by the terrestrial planets are comparable or even larger than those induced by the massive jovian planets. However, this is not a valid physical rationale because still too little is known about the solar dynamics and the terrestrial climate. Complex systems are usually characterized by feedback mechanisms that can amplify the effects of weak periodic forcings also by means of resonance and collective synchronization processes (Kuramoto, 1984, Strogatz, 2009). Thus, unless the physics of a system is clearly understood, good empirical correlations at multiple time scales cannot be dismissed just because the microscopic physical mechanisms may be still obscure and need to be investigated.
The above theory implies the existence of direct and/or indirect links between the motion of the planets and the climate oscillations, essentially claiming that the climate is synchronized to the natural oscillations of the solar system, which are driven by the movements of the planets around the Sun. If this theory is correct, it can be efficiently used for interpreting climate changes and forecasting climate variability because the motion of the planets can be rigorously calculated.
In this paper we investigate this theory by testing a synchronization hypothesis, that is, whether the planetary motion and the climate present a common set of frequencies. Further, we compare the statistical performance of a phenomenological planetary model for interpreting the climate oscillations with that of a typical major general circulation model adopted by the IPCC. Our findings show that a planetary-based climate model would largely outperform the traditional one in reconstructing the oscillations observed in the climate records.
Section snippets
Climate and planetary data and their spectral analysis
Fig. 1 shows the global surface temperature (HadCRUT3) (Brohan et al., 2006) from 1850 to 2009 (monthly sampled) against an advanced general circulation model average simulation (Hansen et al., 2007). This general circulation climate model uses all known climate forcings and all known climate mechanisms. This is one of the major general circulation climate models adopted by the IPCC (2007): this model attempts to reconstruct more than 120 years of climate.
The temperature record presents a clear
The lunar origin of the 9.1-year temperature cycle
The nine temperature records show a strong spectral peak at 9–9.2 years (cycle ‘M’ in Fig. 6). This cycle is absent in the SCMSS power spectrum. This periodicity is exactly between the period of the recession of the line of lunar apsides, about 8.85 years, and half of the period of precession of the luni-solar nodes, about 9.3 years (the luni-solar nodal cycle is 18.6 years). Thus, this 9.1-year temperature cycle can be induced by long lunar tidal cycles. In fact, this 9.1-year cycle is
Analysis of the coherence
Because the temperature cycles appear to fluctuate around ideal limit cycles, we evaluate the average value of each of the 11 peaks depicted in Fig. 6 using the nine temperature records as reported in Table 1. Each average value can be interpreted as the best estimate of the limit cycles around which the temperature, at that specific frequency band, oscillates. We compare this set of temperature limit cycles against the cycles of the SCMSS record, and estimate the coherence between the two
Reconstruction and forecast of the climate oscillations
Herein, we reconstruct the oscillations of the climate with the large 20 and 60-year astronomical oscillations. Reconstructing smaller time scales is possible but it requires more advanced mathematical techniques: for instance, it would require the determination of the correct phase of the cycles and their exact frequencies. This more advanced reconstruction is left to another study. Because the temperature appears to be growing since 1850 with at least an accelerating rate, we can
Possible physical mechanisms
The planets, in particular Jupiter and Saturn, with their movement around the Sun give origin to large gravitational and magnetic oscillations that cause the solar system to vibrate. These vibrations have the same frequencies of the planetary orbits. The vibrations of the solar system can be directly or indirectly felt by the climate system and can cause it to oscillate with those same frequencies.
More specific physical mechanisms involved in the process include gravitational tidal forces, spin
Conclusion
On secular, millenarian and larger time scales astronomical oscillations and solar changes drive climate variations. Shaviv's theory (2003) can explain the large 145 Myr climate oscillations during the last 600 million years. Milankovic's theory (1941) can explain the multi-millennial climate oscillations observed during the last 1000 kyr. Climate oscillations with periods of 2500, 1500, and 1000 years during the last 10,000 year (the Holocene) are correlated to equivalent solar cycles that
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