Various
modification approaches are examined in
this study which might be implemented in
generalised Stokes scheme
Transformation
of GPS derived ellipsoidal height to orthometric
height is one of the most important applications
of gravimetric geoid. Its applicability remains
questionable if the above transformation cannot
be done to a reasonable order of accuracy. Use
of GPS observations at levelling benchmarks and
subsequently determined geoidal seperation using
the geometrical relationship between geoid and
ellipsoid (see fig. 1 ) serve as standard for
accuracy assessment of gravimetric geoid. Stokes’s
(1849) solution of geodetic boundry – value
problem requires a global integration of gravity
anomalies to compute the separation (N) between
the geoid and geocentric reference ellipsoid.
In any gravimetric geoid computation at regional
or local level the gravity data only to the extent
of region of interest is inevitably used. The
Stokes integral formula which is generally used
to provide the gravimetric geoid solution, requires
a global integration of surface gravity anomaly
data over the entire Earth. However, this requirement
is practically difficult to meet due to the reasons
of security and political sensitivity, the integrations
is performed over a limited spherical cap, which
is bounded by the spherical distance
This practical approach usually result in errors
what has been called as truncation error (Molodensky
et.al., 1962). In any gravimetric geoid computations
at a regional or local level the gravity data
only to a limited extent is used, therefore Stokes
formula in its original form may not provide the
desired solution. This truncation error can be
treated as a remote – zone contribution
and computed using the spherical harmonic expansion
of the coefficients that comprises a global geopotential
model (Evans & Featherstone, 2000). Since
such models are available only to an expansion
of 360 degrees the truncation error remains due
to omission of the higher degree terms. In order
to reduce the effect of these errors and influence
of other potential resources and also to attain
the geoid solution which is best fit to the geometric
geoid computed from GPS – Levelling observations
at discrete points, an appropriate modification
to Stokes kernel and an optimum value of spherical
cap radius over which the integral will actually
performed are the most desired quantities. This
will allow for the best estimate of geoid height
to be made from an approximated (i.e. truncated
at integration
of Stokes formula. The present study is focussed
on the determination of optimum values for these
quantities by making use of GPS – levelling
observations at few selected points in the region
of interest.
Basic theory of Gravimetric
Geoid Computation
Remove
- compute – Restore (RCR) type of estimator
using appropriate modification of Stokes integral
kernel is the most popular technique of regional
or local gravimetric geoid computation in preset
scenario. The RCR technique invariably utilized
the global geopotential model’s potential
coefficients viz. EGM96 to remove the long wavelength
effect from the local terrestrial gravity data
at the remove stage which is added back to the
geoid height computed from residual gravity data
using Stokes Integral at the restore stage. The
reference global geopotential model (GGM) usually
provides long-wavelength information of Earth’s
gravity field whereas the local/regional terrestrial
data such as
gravity anomalies supplement this information
with the short wave-length geoid information to
get the reasonably accurate gravimetric geoid
for the region of interest. The combination of
these kind of data sources for determination of
geoid height N has been termed as generalized
Stokes scheme for geoid computation (Vanic~ek
and Sjöberg, 1991). According to the scheme
the long wave length contribution of a GGM viz.
EGM96 (NM) are corrected to a certain
extent by a global integration of residual gravity
anomalies to get the geoid height (N1)
at the computation point by the expression
As already explained it is impractical to evaluate
the integral of equation over the entire earth
due to the various constraints associated with
data availability it is preferred to perform the
evaluation in a domain of predefined spherical
cap of radius computation
point. This convenience from computational point
of view result in leakage of low frequency gravity
errors into the geoid solution a direct consequence
of the approximation of the generalized Stokes
integral (Vanicek and Featherstone, 1998). The
orthogonality property of surface spherical harmonics
breaks down under the approximation made in generalized
Stokes scheme (eqn 1) and non-zero truncation
coefficients of significant magnitude may appear
in the region
To circumvent effect of leakage of errors in geoid
model solution the ideas of using an appropriate
modification of the original Stokes kernel along
with optimum value of spherical cap radius
has gained significance in geodetic literature.
Optimisation process
of gravimetric geoid solution
The Stokes
kernel to a great extent forms a weighted integral
function for gravity data in geoid model solution
given by numerical solution of Stokes integral.
This strong dependence of the geoid computation
and associated errors on the kernel is the basis
for any kernel modifications, the objective being
to reduce the error. Since the basic purpose of
determination of geoid is to transform the GPS
derived ellipsoidal heights (h) to orthometric
heights ( H ) using the relationship; h=N+H, the
most appropriate form of kernal modification and
optimum size of the cap radius is determined empirically
on trial and error basis.
Choice of kernel
modifications
The approaches
of kernel modifications are broadly classified
into two categories, deterministic and stochastic,
The stochastic approach essentially requires the
error characteristics of local gravity data and
global geopotential model which is not known to
a satisfactory level in most of the cases and
hence are of limited practical applications. The
deterministic approaches presented by Wong and
Gore (1969), Heck and Grüninger (1987) and
Vanic~ek Kleusberg (1987) are more frequently
used in geoid computation and hence considered
to be potential alternatives. All these approaches
are related to each other in general as by making
certain changes one’s expression degenarates
to the other the origin being the simple approach
presented by Wong and Gore (1969) which involves
removing the low – degree terms from the
original kernel, according to:
Accuracy of computed geoid undulations depend
largely on the extent of the terrestrial gravity
anomaly data used around the computation point.
Nagarajan (1994) has shown that due to propagation
of error with increase in the cap radius beyond
certain value ,does not improve rather degrades
the geoid undulation results.The choices of size
of the cap radius and approach of kernel modifications
are strictly region dependent and till today no
approach is claimed to be an ideal one which
can straightway be used irrespective of the size
and location of the area of interest. Therefore
it is rather difficult to make the choice of most
suitable kernel modification approach or size
of the cap radius unless the geoid results are
compared with the GPS – levelling observations
results thus making it an essential component
of gravimetric geoid computation process.
Case study
GPS-levelling
and gravimetric geoid
In order
to illustrate the procedure to achieve an optimized
solution for gravimetric geoid the free air gravity
anomaly data from Bangalore and
adjoining region in a block of 2° X 1°
was taken for computation. The RCR technique implemented
in generalized Stokes scheme was adopted and contribution
of EGM96 (Lemoine. et.al.) global geopotential
model to degree and order of 360 was removed from
the observed gravity data. A local DEM was also
developed based upon the available height data
in the region and terrain effect was removed from
the reduced gravity anomaly data. The complete
procedure is not explained here as the study is
focussed on selection of most appropriate size
of cap radius and approach of kernel modification
to derive the gravimetric geoid solutions which
is best fitted in least square sense to the geometric
geoid derived from GPS observations at levelling
bench marks.
GPS observations at about 84 leveling bench marks
were carried out by
Geodetic & Research Branch, Survey of India,
as a part of project undertaken to provide Ground
Control Points (GCPs) to develop a comprehensive
development Plan for Bangalore City (See Nagarajan
and Singh, 2005 ). Out of these 84 points 68 points
were selected for performing a realistic assessment
of geoid model and subsequently optimized the
integral parameters of Stokes Formula.
In order to avoid the complexity in comparison
of different geoid solutions correspond to different
modification approaches with geometrically derived
geoid heights from GPS-leveling observations,
we have chosen the most widely used Wong and Gore
(1969) approach and geoid solutions were obtained
by varying size of cap radius ( ?0 ) and degree
of modification P. For each typical combination
of cap radius and degree of modification the fitting
of gravimetric geoid heights to observed GPS –
Leveling height differences at discrete points
has been analysed and statistics of differences
were computed. Fig. 2 to Fig. 5 represents the
fit of gravimetric geoid heights to geometric
geoid heights for different combinations.