Geomathematics Group:

 
language:GER/ENG

Research

geomathematics tools and problems

During the last decades technological progress has changed completely the observational methods in all fields of geosciences and -engineering with a trend to achieve immediate results, thus reducing time and costs. Modern high speed computers and satellite based techniques are entering more and more disciplines like geomagnetics, geodesy, geology, meteorology, navigation and many others.
The increasing observational accuracy demands adequate mathematical tools; mathematics concerned with geoscientific problems, i.e. geomathematics, is becoming more and more indispensable. Geomathematics offers appropriate means of assimilating, assessing and reducing the comprehensible form the readily increasing flow of data from geomagnetic, geochemical, geodetic, geological, and satellite sources and providing an objective basis for scientific interpretation, classification, testing of concepts and solution of problems.

Undoubtedly, the stage is set for geomathematics to play a major role in all Earth's sciences. Presents Research Projects The Geomathematics Group, Kaiserslautern, is especially concerned with the following research projects:

Special functions of mathematical physics

vectorial harmonic basis systems in SST (Satellite-to-Satellite Tracking), tensorial harmonic basis systems in SGG (Satellite Gravity Gradiometry), special systems for the solution of the Cauchy-Navier-Equations of the theory of elasticity (earthquakes, deformation analysis, loading problems (e.g. at reservoirs)), special systems for the solution of the Maxwell equations (geomagnetic field determination via the CHAMP satellite (2000), refraction analysis in geodetic surveys), vectorial spherical harmonics and radial basis functions for the solution of the Navier-Stokes equations on the sphere (modelling of ocean flows from measurements of the future satellite missions GRACE (2001) and GOCE (2005), wind field modelling)

Partial differential equations

Constructive approximation

(scalar, vectorial and tensorial) radial basis functions, uncertainty principles, space-frequency behaviour, multivariate approximation (splines, wavelets and their application to partial differential equations), data analysis, vectorial spline deformation analysis of the Earth's crust, Approximation of functions depending on time and location, in particular wave phenomena

Regularization of Inverse Problems

Downward continuation of satellite data (satellite-to-satellite tracking, satellite gradiometry) to the Earth's surface Modelling of the crustal geomagnetic field Reconstruction of the mass density inside the earth from gravitational data Determination of the spatial variation of the velocity of seismic waves from the traveltime between earthquake hypocenter and recording station Determination of the Earth's structure from the analysis of the eigenoscillations of the earth

Numerical Methods (development and implementation)

spherical harmonic expansion, domain decomposition methods, fast multipole methods (FMM), fast wavelet transform (FWT), tree algorithms (pyramid schemes), spline interpolation and smoothing, best approximation, wavelet denoising (multiscale signal-to-noise response), numerical integration (on georelevant surfaces), data analysis, data compression

Scientific Computing

multiscale modelling of the Earth's gravitational field (from satellite data, e.g. CHAMP, GRACE and GOCE data), multiscale modelling of the geomagnetic field and electric current distributions (from MAGSAT and CHAMP data), multiscale modelling of density variations in the Earth's interior from gravity data (using OSA91a, EGM96a), spline and multiscale modelling of the windfield in Rheinland-Pfalz (from data of the Deutscher Wetterdienst and the Forstliche Versuchsanstalt des Landes Rheinland-Pfalz, Trippstadt) multiscale modelling of the eigenoscillations of the earth