Physics
Scientific paper
Jun 2009
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009jastp..71..841k&link_type=abstract
Journal of Atmospheric and Solar-Terrestrial Physics, Volume 71, Issue 8-9, p. 841-847.
Physics
Solar Variability Impact, Time Series Analysis, Climate Variability, Solar Irradiance
Scientific paper
Autoregressive integrated moving average (ARIMA) models are used to compare long-range temporal variability of the total solar irradiance (TSI) at the top of the atmosphere (TOA) and surface air temperature series. The comparison shows that one and the same type of the model is applicable to represent the TSI and air temperature series. In terms of the model type surface air temperature imitates closely that for the TSI. This may mean that currently no other forcing to the climate system is capable to change the random walk type variability established by the varying activity of the rotating Sun. The result should inspire more detailed examination of the dependence of various climate series on short-range fluctuations of TSI.
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