Length of the Solar Cycle: An Indicator of Solar Activity Closely Associated with Climate

Friis‐Christensen, E.; Lassen, K.

doi:10.1126/science.254.5032.698

Cited by 781 publications

(352 citation statements)

References 12 publications

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“…Shorter variations, on the timescale of decades, appear to be caused by atmosphere-ocean interactions and changes in ocean circula tion. Alternatively they could be caused by external factors, such as variations in solar irradiance (solar "constant") [Soon et al, 1996;Lean et al, 1995] or in solar activity (ultraviolet radiation or solar corpuscular radiation); there are suggestive correlations with temperature [Friis-Christensen and Lassen, 1991] and with cloudiness [Svensmark and Friis-Christensen, 1997], but as yet no convincing physical mechanism.…”

Section: The Evidence From Paleoclimatementioning

confidence: 99%

Human contribution to climate change remains questionable

Singer

1999

EoS Transactions

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The principal focus of climate science is certainly atmospheric science and meteorology, but the subject involves many other areas of the Earth sciences as well as different disciplines, such as physics, chemistry and even biology. This complexity makes climate science both fascinating and controversial. It also undergoes rapid change as new facts and analyses emerge. Yet public interest in the possibility that human activities can change climate has become so intense that far‐reaching policies are instituted even before final judgments are possible.

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Section: The Evidence From Paleoclimatementioning

confidence: 99%

Human contribution to climate change remains questionable

Singer

1999

EoS Transactions

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“…This is probably attributable to the Gleissberg cycle of solar variations, frequency ranging between 100 and 70 years [17][18][19][20], centered about 88 years. The 25-22, 12 and 9 year cycles are also associated with solar cycles [21,22]. These indicate that solar variation was also one of the drivers for the decadal-scale variability of warm season temperature in Beijing over the past 2650 years.…”

Section: Resultsmentioning

confidence: 76%

Decadal-scale variability of warm season temperature in Beijing over the past 2650 years

Dai

Zhang

2011

Chin. Sci. Bull.

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A continuous record of surface temperature for the past 2650 years was obtained in an earlier study from a Beijing stalagmite based on sedimentary layer counting and thickness measurements. Singular spectrum analysis, multi-taper and wavelet spectral analyses are used in this study to identify decadal-scale signals and their origins in this record. Besides long-term cycles of solar origin identified in earlier studies, this record contains cycles that dominate temperature with periods of 102-70, 66-50, 31, 25-22, 19, 15, 12 and 9 years. The 102-70, 25-22, 12 and 9 year cycles are attributable to solar variation, while the others are likely to be related to low-latitude ocean forcing. These results suggest that century-scale changes in the Beijing summer temperature over the past 2650 years are primarily controlled by solar variation, while ocean-atmospheric interactions play a prominent role in modulating decadal-scale variability.

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“…Some AOGCMs that do not require flux-correction in order to give a stable and reasonable climate description, however, are emerging. Still, the state-of-the-art models may not have a sufficiently good representation of a number of unresolved physical processes that potentially can affect the climate, such as clouds and aerosols (Ramanathan et al, 1989;IPCC, 1995;Hansen et al, 1998), landscape processes (Hansen et al, 1998;Couzin, 1999), the biosphere (Facchini et al, 1999;Joos et al, 1999), ice (Ganopolskey et al, 1998;Zreda et al, 1999), and solar activity (Reid, 1987;Friis-Christensen and Lassen, 1991;Kelly and Wigley, 1992;Lean and Rind, 1998;Wilson, 1998;Shindell et al, 1999). Because of the crude representation of these processes in the present AOGCMs and the chaotic nature of the climate system, one cannot expect them to reproduce the evolution of regional climate anomalies exactly as seen in the observational records.…”

Section: Discussionmentioning

confidence: 99%

A comparison between two empirical downscaling strategies

Benestad

2001

Intl Journal of Climatology

132

113

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A new approach involving the use of common empirical orthogonal functions (EOFs) in statistical downscaling of future global climate scenarios is proposed. The advantage of this method is that it minimizes the errors associated with the downscaling of future climate scenarios. The time series from the common EOF analysis are used both for the calibration of the statistical models and the prediction of future climate scenarios. This paper presents a systematic comparison between the common EOF approach and downscaling with a more conventional method based on the 'Perfect Prog' concept.Three different sets of experiments are carried out where the two downscaling methods are compared, and the robustness of the methods is explored taking the predictor field from different regions. The analysis indicates that climate scenarios derived using the common EOF approach are associated with smaller errors. Another important finding is that the choice of predictor domain may influence the downscaled results, and that the merit of downscaling may depend on this area as well as location and season.

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Length of the Solar Cycle: An Indicator of Solar Activity Closely Associated with Climate

Cited by 781 publications

References 12 publications

Human contribution to climate change remains questionable

Human contribution to climate change remains questionable

Decadal-scale variability of warm season temperature in Beijing over the past 2650 years

A comparison between two empirical downscaling strategies

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