Observations show that geomagnetic
field lines follow closely the atmospheric circulation patterns (Gribbins,
New
Scientist, 5 Feb., 350-353, 1981). and that geomagnetic field
variations are precursors to climate change ( Courtillot
et al.,
Nature
297, 386-387, 1982). Therefore close monitoring of the local and
global geomagnetic field variations by satellite systems will assist prediction
of hurricane tracks, intensification and also long-term weather trends.
The exact mechanism for the observed close relationship between global
geomagnetic field and the tropospheric weather patterns is not clear. In
this paper a universal theory of atmospheric eddy dynamics is presented
which shows that the global geomagnetic field, atmospheric electric field
and weather systems are manifestations of a semi permanent scale invariant
hierarchical atmospheric eddy continuum. The scale invariant energy structure
for the atmospheric eddy continuum has been documented and discussed (
Lovejoy and Schertzer, Bull. Amer. Meteorol. Soc.,
67, 21-32,
1986). In summary, quantitative equations are derived to show that the
full continuum of atmospheric eddies exist as a unified whole and originate
from buoyant energy supply from frictional turbulence at the planetary
surface ( Mary Selvam et al., Proc. VII Int'l. Conf. Atmos. Elec.,
June 3-8, 1984, Albany, N.Y., 154-159). Large eddy growth occurs from turbulence
scale by the universal period doubling route to chaos ( Fairbairn, Phys.
Bull. 37, 300-302, 1986). The turbulent eddies are carried upwards
on the large eddy envelopes and vertical mixing occurs by the turbulent
eddy fluctuations resulting in downward transport of negative space charges
from from higher levels and simultaneous upward transport of positive space
charges from surface levels. The eddy circulations therefore generate a
large scale vertical aerosol current which is of the correct sign and magnitude
to generate the horizontal component of the geomagnetic field. Therefore,
atmospheric circulation patterns leave signature on the geomagnetic field
lines whose global variations can be easily monitored by satellite borne
sensors and thus assist in weather and climate prediction.

where W and w*
are respectively the root mean square ( r.m.s ) circulation speeds of the
large and turbulent eddies and R and r their
respective radii. The production of buoyant energy ( turbulent scale )
is maximum at the crest of the large eddy system. The turbulent eddies
at the crest of the large eddies are identifiable by a micro scale capping
inversion ( MCI ) which rises upwards with the convective growth
of the large eddy in the course of the day. This is seen as the rising
inversion of the day time PBL ( planetary boundary layer ) in echosonde
records. A conceptual model of the large and turbulent eddies in the ABL
( atmospheric boundary layer ) is shown in Figure 1.
Figure 1 : Conceptual model of large and turbulent eddies in the ABL
The turbulent eddy fluctuations mix overlying environmental air into the growing large eddy volume and the fractional volume dilution rate k of the total large eddy volume across unit cross section on its envelope is equal to

where w* is
the unidirectional turbulent eddy acceleration and dW the
corresponding acceleration of the large eddy circulation ( Mary Selvam
and Murty, 1985) during the large eddy incremental length step growth dR
equal to r . The variable k is greater than
0.5
for z less than 10. Therefore organized large
eddy growth can occur for scale ratio z greater than or equal
to 10 . Therefore a hierarchical scale invariant selfsimilar
eddy continuum with semi permanent dominant eddies at successive
decadic scale range intervals is generated by the self-organised period
doubling route to chaos growth process. The large eddy circulation speed
is obtained by integrating Eq.2 for large eddy growth from the turbulence
scale energy pump at the planetary surface and is given as

k = 0.4 for z =
10. This is the well known logarithmic wind profile relation
in the ABL ( Holton, 1979 ) and k is designated as
the Von Karman's constant and its value as determined from observations
is equal to 0.4 ( Hogstrom, 1985 ). The region of chaos is
the dynamic growth region of large eddy by turbulence scale energy pumping
and the nested vortex hierarchical continuum energy structure is manifested
as the strange attractor design. The particles in the region of chaos follow
laws analogous to Kepler's third law of planetary motion since

The rising large
eddy gets progressively diluted by vertical mixing due to the turbulent
eddy fluctuations and a fraction f of surface air which reaches
the normalized height z is given by ( Mary Selvam and Murty,
1985 ).
From Eqs. (2) and (3)

W = w* f z
The steady state fractional upward mass flux of surface air is dependent only on the dominant turbulent eddy radius.
The spectral slope S of the scale invariant eddy energy continuum is given as
S = ln E / ln z
= -2 for large z
Therefore the universal
period doubling route to chaos eddy growth mechanism gives rise to an eddy
energy continuum spectral slope equal to -2 . The universal
scale invariant
-2 power spectrum for eddy energy has been
observed in the atmospheric boundary layer turbulence ( Van Zandt, 1982
).
Therefore 2 R = Wp / n

H is equal to the product of the momentum of unit mass of planetary scale eddy and its radius and therefore represents the spin angular momentum of unit mass of planetary scale eddy about the eddy center. Therefore the kinetic energy of unit mass of any component eddy of frequency n of the scale invariant continuum is equal to Hn which is analogous to quantum mechanical laws for the electron energy levels in the subatomic space.

W/w* is distributed normally since W is the integrated mean of w* over the large eddy volume. Similarly, since large eddy energy content is equal to the sum of all its individual component eddy energies and therefore the energy E of any eddy of radius R in the eddy continuum expressed as a fraction of the energy content of the largest eddy in the hierarchy will represent the cumulative normal probability distribution. The eddy continuum energy spectrum is therefore the same as the cumulative normal probability distribution plotted on a log-log scale. The eddy energy spectral slope is derived from the cumulative normal distribution curve as follows.
r = (dR/R) = 1/2
The standard deviation s with a cumulative probability of occurrence equal to dR/(R+dR) = 35% . The cumulative normal probability distribution also gives 32% probability at one standard deviation in close agreement with the statistical parameters generated by the period doubling sequence. Further, the slope of the log-log plot of the cumulative normal probability curve at one standard deviation is equal to -1.8 in agreement with the computed (see Eq.6 ) slope of -2 for the eddy energy spectra.
From Eq.3
(dW)4 / w*4 represents the statistical moment coefficient of kurtosis . Organized eddy growth occurs for scale ratio equal to 10 and identifies the large eddy on whose envelope period doubling growth process occurs. Therefore for a dominant eddy
(dz/z) = 2 for one length
step growth by period doubling process since z = dz + dz
.
Therefore moment
coefficient of kurtosis is given as

In other words, period doubling phenomena result in a threefold increase in the spin angular momentum of the large eddy for each period doubling sequence. This result is consistent since period doubling at constant pump frequency involves eddy length step growth dR on either side of the turbulent eddy length dR .
Xn+1 = F( Xn ) = L Xn (1 - Xn )
The above non-linear
model represents the population values of the parameter Xn
at different time periods of X for small
X . Feigenbaum's ( 1980 ) research showed that the two universal
constants
a = -2.5029 and d = 4.6692
are independent of the details of the non-linear equation for the period
doubling sequences where a and d
denote the successive spacing ratios of X and L
respectively for adjoining period doublings.
The universal constants
a
and d assume different numerical values for period
tripling, quadrupling, etc., and the appropriate values computed
by Delbourgo ( 1986 ) show that the relation 3d = 2a2
has a much wider validity.
The physical concept
of large eddy growth by the period doubling process enables to derive the
universal constants a and d
and their mutual relationship as function inherent to the scale invariant
eddy energy structure as follows.

a is therefore
equal to 1/k from Eq.(3) where k is the
Von
Karman 's constant representing the non dimensional steady state fractional
volume dilution rate of large eddy by turbulent eddy fluctuations across
unit cross-section on the large eddy envelope. Therefore a
represents the non dimensional total fractional mass dispersion rate and
a2
represents the fractional energy flux into the environment.
Let d
represent the ratio of the spin angular momenta for the total mass of the
large and turbulent eddies.

Therefore
2a2
= 3d from Eqs.(8) and (9). The variable
2a2
represents the total eddy energy flux into the environment in the bi-directional
eddy energy flow and 3d represents the threefold increase
in spin angular momentum generation in the large eddy during the period
doubling sequence growth. In an earlier section it was shown that the period
doubling sequence is associated with a three-fold increase in the spin
angular momentum of the resulting large eddy and accounts for the moment
coefficient of kurtosis of the normal distribution. Therefore the above
equation relating the universal constants is a statement of the law of
conservation of energy, that is, the period doubling growth process generates
a three fold increase in the spin angular momentum of the resulting large
eddy and propagates outward as the total large eddy energy flow in the
medium. The property of inertia enables propagation of turbulence scale
perturbation in the medium by release of the latent energy potential of
the medium. An illustrative example is the buoyant energy generation by
water vapour condensation in the updraft regions in the atmospheric boundary
layer.
s =s* f
F = 4 ps
Figure 2 : The computed vertical profile of F and s
Figure 3 : The observed vertical profile of condensation nuclei sandelectric field F
The aerosol current at any level z is given as
ia = (s* f z) x ( w* f z ) = ia* f 2 z2
Thus the aerosol
current ia produced by the vertical mass
exchange generates the observed atmospheric electric field. The conventional
air earth conduction current ( Chalmers, 1967 ) cannot discharge the atmospheric
electric field thus produced since the dynamic charge transport by the
vertical mass exchange process is faster than the ion mobilities by more
than one order of magnitude. The convective scale aerosol current can be
computed from Eq.(12) and shown to be 1000 times larger and
in opposite direction to the conventional air-earth conduction current.
The vertical aerosol currents are of the right order of magnitude and direction
as those of the vertical current postulated to exist in the atmosphere
by Bauer (1920) and Schmidt (1924) in their hypothesis for explaining the
variations in the H component of the geomagnetic field. The
aerosol currents occur over convective scale, that is, one square kilometer
and thus were not detected by conventional spot observations. The universal
period doubling route to chaos growth process generates scale invariant
atmospheric eddy continuum circulations extending from the planetary surface
to the magnetospheric levels and above manifested in the geomagnetic field
observations.
Observational evidence
for the tropospheric eddy continuum extension into the ionosphere is seen
in satellite observations which indicate that increased currents at ionospheric
levels are accompanied by a simultaneous increase in wind speed at lower
levels. Measurements with Poker Flat radar and with NOAA radar
at Fairbanks support this contention.
The solar wind energy
coupling in the terrestrial magnetosphere is indicated by the geomagnetic
micropulsations and therefore also signal the continuous solar wind energy
supply modulation of magnetosphere - ionosphere processes is well
established and are therefore reflected in the tropospheric weather phenomena
at the lower levels of the atmospheric eddy continuum which is a two-way
energy flow channel between the lower and upper atmospheres. Therefore
extra-terrestrial trigger of tropospheric weather changes can be forecast
from the precursor signal from geomagnetic field variations.
Bosqued, J., C. Maurel, J. A. Sauvaud, R. A. Kovrazhkin and Yu. I. Galperin, 1986 ; Observations of auroral electron inverted V structures by the Aureol - 3 Satellite. Planet. Space Sci., 34, 255 - 269.
Chalmers, J. A., 1967 : Atmospheric Electricity, 2nd Ed., Oxford, Pergamon Press, pp. 515.
Chayrev, V. M., V. N. Oraevsky, S. V. Bilicheko, N. V. Isaev, G. A. Stanev, D. K. Teodosiev and S. I. Shkolnikova, 1985 : The fine structure of intensive small scale electric and magnetic fields in the high latitude ionosphere as observed by intercosmos-Bulgaria 1300 Satellite. Planet. Space Sci., 33 , 1383 - 1388 .
Courtillot, V., J. L. Le Mouel, J. Ducruix and A. Cazenave, 1982 : Geomagnetic secular variation as a precursor of climate change. Nature , 297 , 386 - 287 .
Delbourgo, R., 1986 : Universal facets of chaotic processes. ASPAP NEWS , 1 , 7 - 11.
Eymard, L., 1985 : Convective organization in a tropical boundary layer. An interpretation of doppler radar observations using Asia's model. J. Atmos. Sci., 42 ,2844 -2855 .
Feigenbaum, M. J., 1980 : Los Alamos Science , 1 , 4 -27 .
Feldstein, Y. I., and Yu. I. Galperin, 1985 : The auroral luminosity structure in the high latitude upper atmosphere : Its dynamics and relationship to the large-scale structure of the Earth's magnetosphere. Rev. Geophys ., 23 , 217 - 276 .
Gribbins, J., 1981 : Geomagnetism and climate. New Scientist , 5 Feb ., 350-354 .
Herman, J. R. and R. S. Goldberg , 1978 : Sun , Weather and Climate . NASA SP, 426, pp. 360 .
Hogstrom, U., 1985 : Von Karman's constant in atmospheric boundary layer now revevaluated. J. Atmos. Sci., 42 , 263 - 270 .
Holton, J. R., 1979 : An introduction to dynamic meteorology . Academic Press, New York, pp. 39.
Imyanitov, I. M., and E. V. Chubarina, 1967 : Electricity of the free atmosphere . Israel Program for Scientific Translations, Jerusalem, pp. 212 .
Kalinin, Yu. D., and T. S. Rozanova, 1984 : Geomagnetic moment, irregular variations in the length of days and polar variations of latitude. Geomagnetism and Aeronomy , 24 , 90 - 92 .
Lundin, R. and D. S. Evans, 1985 : Boundary layer plasmas as a source for high latitude early afternoon auroral arcs. Plant. Space Sci., 32 , 1389 - 1406 .
Mary Selvam, A., A .S. R. Murty, G. K. Manohar, S. S. Kandalgaonkar and Bh. V. Ramana Murty, 1984 : A new mechanism for the maintenance of fair weather electric field and cloud electrification. Proc. VII International Conference on atmospheric electricity , June 3 - 8, Albany, New York, 154 - 159 . http://xxx.lanl.gov/abs/physics/9910006
Mary Selvam, A. and A .S. R. Murty, 1985 : Numerical simulation of warm rain process. Proc. IV WMO Sci. Weather Modification , Honolulu, Hawaii, USA, 12 -14 Aug., 503 - 506. http://xxx.lanl.gov/abs/physics/9911021
Mary Selvam, A.,1986 : A gravity wave feedback mechanism for the evolution of meso-scale cloud clusters ( MCC ) . Proc. Int'l. Conf. Monsoon and Meso-scale Meteorol. with MSROC, 4 - 7 Nov., Taipei, Taiwan, 84 - 89.
Mary Selvam, A. and A .S. R. Murty, 1987 : Simulation of urban effects on cloud physical parameters. Proc. International Conference on Energy Transformations and Interactions with Small and Meso-scale Atmospheric Processes , 2 - 6 March, Switzerland. http://xxx.lanl.gov/html/physics/0006031
Poonam Sikka, A. Mary
Selvam, A. S. Ramachandra Murty and Bh. V. Ramana Murty, 1984 : Possible
solar influence on atmospheric electric field. Proc. VII International
Conference on atmospheric electricity , June 3 - 8, Albany, New York,
148 - 153 . http://xxx.lanl.gov/abs/chao-dyn/9806014