ONE RESPONSE:
Sorry guys, that article is the greatest BS I ever heard.
The linkage for sun and climate is already established.
What is missing in your article is the fact, that Sun-CRF-Climate
is time lagged.
Read here in this reviewed paper from C.A. Perry
"Evidence for a physical linkage between galactic cosmic
rays and regional climate time series", J. Adv. Space Res.
(2007), doi:10.1016/j.asr.2007.02.079
www.umweltluege.de/pdf/Gamma_Rays_and_Climate.pdf
Abstract
The effects of solar variability on regional climate time
series were examined using a sequence of physical
connections between total solar irradiance (TSI) modulated
by galactic cosmic rays (GCRs), and ocean and atmospheric
patterns that affect precipitation and streamflow.
The solar energy reaching the Earth's surface and its oceans
is thought to be controlled through an interaction between
TSI and GCRs, which are theorized to ionize the atmosphere
and increase cloud formation and its resultant albedo.
High (low) GCR flux may promote cloudiness (clear skies) and
higher (lower) albedo at the same time that TSI is lowest
(highest) in the solar cycle which in turn creates cooler
(warmer) ocean temperature anomalies.
These anomalies have been shown to affect atmospheric flow
patterns and ultimately affect precipitation over the
Midwestern United States.
This investigation identified a relation among TSI and
geomagnetic index aa (GI-AA), and streamflow in the
Mississippi River Basin for the period 1878-2004.
The GI-AA was used as a proxy for GCRs. The lag time between
the solar signal and streamflow in the Mississippi River at
St. Louis, Missouri is approximately 34 years.
The current drought (1999-2007) in the Mississippi River
Basin appears to be caused by a period of lower solar
activity that occurred between 1963 and 1977.
There appears to be a solar "fingerprint" that can be
detected in climatic time series in other regions of the
world, with each series having a unique lag time between the
solar signal and the hydroclimatic response.
A progression of increasing lag times can be spatially
linked to the ocean conveyor belt, which may transport the
solar signal over a time span of several decades. The lag
times for any one region vary slightly and may be linked to
the fluctuations in the velocity of the ocean conveyor belt.
There are some other supporting researches for that:
http://nzclimatescience.net/images/PDFs/alexander2707.pdf
This study is based on the numerical analysis of the
properties of routinely observed hydrometeorological data
which in South Africa alone is collected at a rate of more
than half a million station days per year,
with some records approaching 100 continuous years in
length. The analysis of this data demonstrates an
unequivocal synchronous linkage between these processes in
South Africa and elsewhere, and solar
activity.
This confirms observations and reports by others in many
countries during the past 150 years.
It is also shown with a high degree of assurance that
there is a synchronous linkage between the statistically
significant, 21-year periodicity in these processes and the
acceleration and deceleration of the sun as it moves through
galactic space.
Despite a diligent search, no evidence could be found of
trends in the data that could be attributed to human
activities.
It is essential that this information be accommodated in
water resource development and operation procedures in the
years ahead.
www.agu.org/pubs/crossref/2005/2005GL023429.shtml
Abstract
This letter offers new evidence motivating a more serious
consideration of the potential Arctic temperature responses
as a consequence of the decadal, multidecadal and
longer-term persistent forcing by the ever-changing solar
irradiance both in terms of total solar irradiance (TSI,
i.e., integrated over all wavelengths) and the related UV
irradiance.
The support for such a solar modulator can be minimally
derived from the large (>75%) explained variance for the
decadally-smoothed Arctic surface air temperatures (SATs) by
TSI and from the time-frequency structures of the TSI and
Arctic SAT variability as examined by wavelet analyses.
The reconstructed Arctic SAT time series based on the
inverse wavelet transform, which includes decadal (5-15
years) and multidecadal (40-80 years) variations and a
longer-term trend, contains nonstationary but persistent
features that are highly correlated with the Sun's intrinsic
magnetic variability especially on multidecadal time scales.