Effect of solar variability on the Earth’s climate patterns

2007 ◽  
Vol 40 (7) ◽  
pp. 1146-1151 ◽  
Author(s):  
Alexander Ruzmaikin
Keyword(s):  
Solar Variability ◽  
Climate Patterns ◽  
Earth’S Climate

scholarly journals Solar influence on Earth's climate

2015 ◽  
Vol 11 (A29A) ◽  
pp. 372-376
Author(s):  
Rémi Thiéblemont ◽  
Katja Matthes
Keyword(s):  
Solar Variability ◽  
Special Focus ◽  
Solar Forcing ◽  
Top Down ◽  
Natural Climate Variability ◽  
System A ◽  
Earth’S Climate ◽  
Natural Climate ◽  
Solar Influence ◽  
Coupling Mechanisms

AbstractUnderstanding the influence of solar variability on the Earth's climate requires knowledge of solar variability, solar-terrestrial interactions and observations, as well as mechanisms determining the response of the Earth's climate system. A summary of our current understanding from observational and modeling studies is presented with special focus on the “top-down” stratospheric UV and the “bottom-up” air-sea coupling mechanisms linking solar forcing and natural climate variability.

scholarly journals THERMAL INVERSIONS IDENTIFICATION THROUGH THE ANALYSIS OF THE VEGETATION INVERSIONS OCCURRED IN THE FOREST ECOSYSTEMS FROM THE EASTERN CARPATHIANS

2020 ◽  
Vol 14 (2) ◽  
pp. 29-42
Author(s):  
Alexandru Ciutea ◽  
Vasile Jitariu
Keyword(s):  
Spatial Distribution ◽  
Forest Ecosystems ◽  
Remote Sensing Data ◽  
Temperature Inversion ◽  
Mountain Forest ◽  
Direct Impact ◽  
Gis And Remote Sensing ◽  
Eastern Carpathians ◽  
Climate Patterns ◽  
Earth’S Climate

The earth’s climate has a direct impact on the spatial distribution of the vegetation cover. Forests are one of the most prevalent ecosystems on earth. The forest’s structure, if unaltered, can be an indicator of some climate patterns. This paper proposes an algorithm for identifying vegetation inversions within mountain forest ecosystems in the eastern Carpathians of Romania, using freely available GIS and remote sensing data. Air temperature has a direct impact on the spatial distribution of tree species. Therefore, temperature-inversion spatial patterns can be estimated.

scholarly journals Better Data for Modeling the Sun’s Influence on Climate

Eos ◽  
2018 ◽  
Vol 99 ◽  
Author(s):  
T. Dudok de Wit ◽  
B. Funke ◽  
M. Haberreiter ◽  
K. Matthes
Keyword(s):  
Solar Variability ◽  
Climate Response ◽  
Solar Forcing ◽  
Earth’S Climate

Several international initiatives are working to stitch together data describing solar forcing of Earth’s climate. Their objective is to improve understanding of climate response to solar variability.

scholarly journals Holocene Millennial-Scale Solar Variability and the Climatic Responses on Earth

Universe ◽  
2021 ◽  
Vol 7 (2) ◽  
pp. 36
Author(s):  
Xinhua Zhao ◽  
Willie Soon ◽  
Victor M. Velasco Herrera
Keyword(s):  
Solar Variability ◽  
Temperature Changes ◽  
Time Frequency ◽  
Sunspot Numbers ◽  
Show Evidence ◽  
Study Interval ◽  
Changing Trend ◽  
Climatic Responses ◽  
Earth’S Climate ◽  
Millennial Scale

The solar impact on Earth’s climate is both a rich and open-ended topic with intense debates. In this study, we use the reconstructed data available to investigate periodicities of solar variability (i.e., variations of sunspot numbers) and temperature changes (10 sites spread all over the Earth) as well as the statistical inter-relations between them on the millennial scale during the past 8640 years (BC 6755–AD 1885) before the modern industrial era. We find that the variations of the Earth’s temperatures show evidence for the Eddy cycle component, i.e., the 1000-year cyclicity, which was discovered in variations of sunspot numbers and believed to be an intrinsic periodicity of solar variability. Further wavelet time-frequency analysis demonstrates that the co-variation between the millennium cycle components of solar variability and the temperature change held stable and statistically strong for five out of these 10 sites during our study interval. In addition, the Earth’s climatic response to solar forcing could be different region-by-region, and the temperatures in the southern hemisphere seemed to have an opposite changing trend compared to those in the northern hemisphere on this millennial scale. These findings reveal not only a pronounced but also a complex relationship between solar variability and climatic change on Earth on the millennial timescale. More data are needed to further verify these preliminary results in the future.

Solar variability and the Earth's climate

Nature ◽  
10.1038/44519 ◽  
1999 ◽  
Vol 401 (6755) ◽  
pp. 764-764 ◽  
Author(s):  
Martin I. Hoffert ◽  
Ken Caldeira ◽  
Curt Covey ◽  
Philip B. Duffy ◽  
Benjamin D. Santer
Keyword(s):  
Solar Variability ◽  
Earth’S Climate

scholarly journals Readdressing the UV solar variability with SATIRE-S: non-LTE effects

2019 ◽  
Vol 631 ◽  
pp. A178 ◽  
Author(s):  
R. V. Tagirov ◽  
A. I. Shapiro ◽  
N. A. Krivova ◽  
Y. C. Unruh ◽  
K. L. Yeo ◽  
...  
Keyword(s):  
Solar Irradiance ◽  
Spectral Synthesis ◽  
Solar Variability ◽  
Spectral Irradiance ◽  
Solar Dynamics Observatory ◽  
Quiet Sun ◽  
Total Irradiance ◽  
Solar Dynamics ◽  
Earth’S Climate ◽  
Spectral Solar Irradiance

Context. Solar spectral irradiance (SSI) variability is one of the key inputs to models of the Earth’s climate. Understanding solar irradiance fluctuations also helps to place the Sun among other stars in terms of their brightness variability patterns and to set detectability limits for terrestrial exoplanets. Aims. One of the most successful and widely used models of solar irradiance variability is Spectral And Total Irradiance REconstruction model (SATIRE-S). It uses spectra of the magnetic features and surrounding quiet Sun that are computed with the ATLAS9 spectral synthesis code under the assumption of local thermodynamic equilibrium (LTE). SATIRE-S has been at the forefront of solar variability modelling, but due to the limitations of the LTE approximation its output SSI has to be empirically corrected below 300 nm, which reduces the physical consistency of its results. This shortcoming is addressed in the present paper. Methods. We replaced the ATLAS9 spectra of all atmospheric components in SATIRE-S with spectra that were calculated using the Non-LTE Spectral SYnthesis (NESSY) code. To compute the spectrum of the quiet Sun and faculae, we used the temperature and density stratification models of the FAL set. Results. We computed non-LTE contrasts of spots and faculae and combined them with the corresponding fractional disc coverages, or filling factors, to calculate the total and spectral irradiance variability during solar cycle 24. The filling factors have been derived from solar full-disc magnetograms and continuum images recorded by the Helioseismic and Magnetic Imager on Solar Dynamics Observatory (SDO/HMI). Conclusions. The non-LTE contrasts yield total and spectral solar irradiance variations that are in good agreement with empirically corrected LTE irradiance calculations. This shows that the empirical correction applied to the SATIRE-S total and spectral solar irradiance is consistent with results from non-LTE computations.

scholarly journals Relationship between Sunspot Numbers and Mean Annual Precipitation: Application of Cross-Wavelet Transform—A Case Study

J ◽  
2020 ◽  
Vol 3 (1) ◽  
pp. 67-78 ◽  
Author(s):  
Mohammad Nazari-Sharabian ◽  
Moses Karakouzian
Keyword(s):  
Wavelet Transform ◽  
Climatic Conditions ◽  
Solar Variability ◽  
Cyclic Behavior ◽  
Annual Precipitation ◽  
Mean Annual Precipitation ◽  
Sunspot Numbers ◽  
Cross Wavelet Transform ◽  
Earth’S Climate ◽  
Cross Wavelet

Observations show that the Sun, which is the primary source of energy for the Earth’s climate system, is a variable star. In order to understand the influence of solar variability on the Earth’s climate, knowledge of solar variability and solar–terrestrial interactions is required. Knowledge of the Sun’s cyclic behavior can be used for future prediction purposes on Earth. In this study, the possible connection between sunspot numbers (SSN) as a proxy for the 11-year solar cycle and mean annual precipitation (MAP) in Iran were investigated, with the motivation of contributing to the controversial issue of the relationship between SSN and MAP. Nine locations throughout Iran were selected, representing different climatic conditions in the country. Cross-wavelet transform (XWT) analysis was employed to investigate the temporal relationship between cyclicities in SSN and MAP. Results indicated that a distinct 8–12-year correlation exists between the two time series of SSN and MAP, and peaks in precipitation mostly occur one to three years after the SSN maxima. The findings of this study can be beneficial for policymakers, to consider future potential droughts and wet years based on sunspot activities, so that water resources can be more properly managed.

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