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Investigations
of variations of solar and climatic processes, and also researches of the
evolution of the atmosphere, biosphere, and lithosphere raise problems of
seeking the sources of cyclical
processes. The problems of cyclicity exist in all space-time scales
available to science - from the micro-world to the Universe, from minimal
parts of second to tens of billions of years (Berry, 1992).
Internal and External Points of
View
Two opposed
approaches are being pursued in parallel. The main range of problems here is
linked with interaction of internal (endogenous) and external (exogenous)
components of the observed processes. In accordance with exogenous
viewpoint, the causes of the Earth’s and the Sun’s cyclicity are
associated with external sources located outside terrestrial and solar
bodies. From the endogenous point of view cyclical and other processes are a
direct consequence of the actual development of the Earth or the Sun which
have their own auto-oscillatory and intrinsic frequencies. The endogenous
models of the solar and terrestrial processes are being predominantly
investigated by scientists and are backed by a well-developed theories.
For example,
mainly internal global physico-chemical climate
models help to understand the depth of the problem of the climate
prediction. They are becoming more and more intricate and costly in term of
human and computer resources (Moor III, 1996), but their prognostic value is
increasing only gradually (Huebert, 1999). The internal
models of the solar processes explain 11-year cyclicity by generation
and regeneration of magnetic fields with specific movement of solar
substance (Babcock, 1961, Leighton, 1969). These solar models have a limited
forecast value likewise internal
climate models, due to the limitation of measurable data and the absence
of links with external sources of stable oscillations. The solar and
terrestrial internal models are very useful for investigating physico-chemical
processes and relationships among principal components of complicated bodily
processes.
Main external
models of the climate are related with solar-terrestrial physics. The
effects of solar variability on the surface environment were recently
referred by Reid (1999), Lean and Rind (1999). The total irradiance
is known to vary at the level of 0.1% on the time scales up to that of the
11-year solar activity cycle (White et al.,1997, Pap and Frohlich, 1999).
Variations in the range of 0.5-1,0% on 100-year time scales would be
sufficient to explain the whole global climate variability of the last
several centuries (Eddy, 1976, Bottomley et al., 1990, Reid, 1997). The
second category of solar variability involves variations in spectral
irradiance. The albedos of clouds, the ocean and land surfaces are
wavelength dependent, but little is known about spectral irradiance
variability. The third aspect of solar variability is that of the solar
wind, which modulates both the flux of galactic cosmic rays to the Earth
atmosphere and the strength of the global electric field. There is
supposedly a relationship between cloud cover over certain areas of the
Earth and variations of cosmic ray and electric field for a period of about
one and a half 11-year cycles. The major advance in recent years has been
the acceptance of solar variability as at least a potential cause of change
in our environment (Reid, 1999).
The external
barycentric model of the solar
processes is based on calculated functions of the Sun’s movement about
the centre of the gravity of the solar system (barycenter), such functions
as changes in the orbital angular momentum, as changes in the acceleration
components. The power spectra of these functions have periods which are,
with the exception of 11, 22 and 89-year periods, very close to that of
double and triple conjunctions of planets and Wolf number’s variations (Khlystov
at al. 1992). This model or similar ones would be a very good base for
climate predictions if the spectral characteristics of the Sun and the Earth
were known, but it is not clear now how external periodic actions are
transformed in solar and terrestrial processes. That is why solar and
climate periods, since they have not coincided exactly with the spectra of
the barycenter movement, should be directly investigated for the creation of
the long-term forecast of the changes in the solar activity and climate.
It should be
noted that the division of our interrelated world into internal and external
fields has its own merits and drawbacks. In the search for the causes of the
regular variations of heliogeophysical processes the shortcomings of such
division are beginning to predominate. The Earth and the Sun are open
systems, included in the resonant solar system, in which forced, intrinsic
and auto-oscillatory processes are synchronized and have a complex genesis.
For example,
we have had a very bright illustration of the influence of the
auto-oscillatory process with the periods about 100 ka on the climate system
in the Pleistocene - Holocene Epochs. The turning point of forming the
oscillatory cell happened when the Arctic ocean was covered by pack ice
(0.7Ma BP) and the heat of the Gulf Stream was isolated from arctic air.
After that time, the long glacier (~90 ka), with ice sheets (60-75 Mkm3)
on all northern continents, and short interglacial (~10ka) periods, which
coincide with orbital cycles of the Earth, have determined changes in
permafrost, geomorphology, tectonics and geodynamics (Berry, B.L., 1998a,b).
Variations and Prediction
Models.
Natural
climate variations of natural processes are the sum of systematic (periodic/aperiodic)
and random components.
Systematic
components may be represented either with the aid of physical-chemical
sub-models (simple numerical, global circulation, and other models), if
the mechanisms of their origin have been identified, or with the aid of
physical-empirical models, if the mechanisms have not been conclusively
established. Physical-empirical
models use series of proxy and instrumental climate indicators and their
approximations by different functions, for example, harmonic ones. The main
causes for the appearance of harmonic climate components (oscillations)
are the tidal (It ) and
momentum (Mrev )
interactions of the celestial bodies in the solar system, which revolve on
approximately circular orbits around the Sun. Only the planets of Mars and
Pluto don’t really participate in forming cycles of solar system because
they have small parameters It
and Mrev simultaneously
(Table).
Table.
Relative planetary data, tidal interactions (It) of planets and the Sun, and their moments of revolving
momentum (Mrev):
|
Planet
|
Distance
from Sun, r
|
Revolving
period, Trev.
|
Mass,
m
|
Mrev
=
mr2/T
£
%
|
It =
m/r3 T
£ %
|
|
Mercury
|
0.387
|
0.241
|
0.060
|
0.0373<<0.1%
|
1.03=15.6%
|
|
Venus
|
0.723
|
0.615
|
0.820
|
0.6970<0.1%
|
2.17=32.9%
|
|
Earth
|
1.000
|
1.000
|
1.000
|
1.0000<0.1%
|
1.00=15.1%
|
|
Mars
|
1.524
|
1.880
|
0.110
|
0.1359<<0.1%
|
0.03=0.45%
|
|
Jupiter
|
5.203
|
11.860
|
318.000
|
725.8000=61.5%
|
2.26=34.2%
|
|
Saturn
|
9.539
|
29.460
|
95.100
|
293.7000=24.9%
|
0.11=1.7%
|
|
Uranus
|
19.182
|
84.010
|
14.500
|
63.5100=5.4%
|
0.002<0.1%
|
|
Neptune
|
30.058
|
164.800
|
17.300
|
94.8000=8.0%
|
6
10-4<<0.1%
|
|
Pluto
|
39.439
|
247.700
|
0.002
|
0.0130<<0.1%
|
3
10-8<<0.1%
|
Random
components (fluctuations) are the difference between a natural process and the
sum of its systematic parts. The principal reason for the presence of random
anomalies relates to short-term interactions of the bodies of the solar
system with the comets and stars of the jet galactic streams and also to the
natural random fluctuations in solar and terrestrial processes (Berry, 1992,
1998b).
The
prognostic climate models for the time intervals from one year to several
millions years should include all main processes of the Sun system, the Sun,
and the Earth in corresponding time scales. For the time intervals of more
than one million years it is necessary to take into account the processes
connected with solar system movement around the central disk of our Galaxy
(Berry, 1992).
Reliable
predictions of future changes require the creation of physico-empirical
climate models, which have the physical sense and could be provided with
empirical data, and which will prove effective in simulating long-term past
changes that can be reconstructed using different proxy climate indicators
such as, for example, tree ring widths. The models can incorporate internal
and external physico-chemical sub-models of different parts of the processes
involved.
Acknowledgments
I thank A.
V.
Brouchkov, D. Sc., the
Editor of
Journal of Geocryology,
for his suggestion to create the ADP&P and his excellent support.
References.
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