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Tue, 14 Oct 2008 12:34:09 +0200Tue, 14 Oct 2008 12:34:09 +0200Classical Globally Reflected Gravity Field Determination in Modern Locally Oriented Multiscale Framework
https://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/2031
The purpose of this paper is the canonical connection of classical global gravity field determination following the concept of Stokes (1849), Bruns (1878), and Neumann (1887) on the one hand and modern locally oriented multiscale computation by use of adaptive locally supported wavelets on the other hand. Essential tools are regularization methods of the Green, Neumann, and Stokes integral representations. The multiscale approximation is guaranteed simply as linear difference scheme by use of Green, Neumann, and Stokes wavelets, respectively. As an application, gravity anomalies caused by plumes are investigated for the Hawaiian and Iceland areas.W. Freeden; T. Fehlinger; M. Klug; D. Mathar; K. Wolfreporthttps://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/2031Tue, 14 Oct 2008 12:34:09 +0200Darstellung des Gravitationsfelds und seiner Funktionale mit Multiskalentechniken
https://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/1466
Die Grundgleichungen der Physikalischen Geodäsie (in der klassischen Formulierung) werden einer Multiskalenformulierung mittels (sphärisch harmonischer) Wavelets unterzogen. Die Energieverteilung des Störpotentials wird in Auflösung nach Skala und Ort durch Verwendung von Waveletvarianzen beschrieben. Schließlich werden zur Modellierung der zeitlichen Variationen des Schwerefeldes zeit- und ortsgebundene Energiespektren zur Detektion lokaler sowie periodischer/saisonaler Strukturen eingeführt.M.J. Fengler; W. Freeden; M. Guttingpreprinthttps://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/1466Mon, 19 Jan 2004 16:38:22 +0100Multiscale Modeling of CHAMP-Data
https://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/1457
The following three papers present recent developments in multiscale gravitational field modeling by the use of CHAMP or CHAMP-related data. Part A - The Model SWITCH-03: Observed orbit perturbations of the near-Earth orbiting satellite CHAMP are analyzed to recover the long-wavelength features of the Earth's gravitational potential. More precisely, by tracking the low-flying satellite CHAMP by the high-flying satellites of the Global Positioning System (GPS) a kinematic orbit of CHAMP is obtainable from GPS tracking observations, i.e. the ephemeris in cartesian coordinates in an Earth-fixed coordinate frame (WGS84) becomes available. In this study we are concerned with two tasks: First we present new methods for preprocessing, modelling and analyzing the emerging tracking data. Then, in a first step we demonstrate the strength of our approach by applying it to simulated CHAMP orbit data. In a second step we present results obtained by operating on a data set derived from real CHAMP data. The modelling is mainly based on a connection between non-bandlimited spherical splines and least square adjustment techniques to take into account the non-sphericity of the trajectory. Furthermore, harmonic regularization wavelets for solving the underlying Satellite-to-Satellite Tracking (SST) problem are used within the framework of multiscale recovery of the Earth's gravitational potential leading to SWITCH-03 (Spline and Wavelet Inverse Tikhonov regularized CHamp data). Further it is shown how regularization parameters can be adapted adequately to a specific region improving a globally resolved model. Finally we give a comparison of the developed model to the EGM96 model, the model UCPH2002_02_0.5 from the University of Copenhagen and the GFZ models EIGEN-1s and EIGEN-2. Part B - Multiscale Solutions from CHAMP: CHAMP orbits and accelerometer data are used to recover the long- to medium- wavelength features of the Earth's gravitational potential. In this study we are concerned with analyzing preprocessed data in a framework of multiscale recovery of the Earth's gravitational potential, allowing both global and regional solutions. The energy conservation approach has been used to convert orbits and accelerometer data into in-situ potential. Our modelling is spacewise, based on (1) non-bandlimited least square adjustment splines to take into account the true (non-spherical) shape of the trajectory (2) harmonic regularization wavelets for solving the underlying inverse problem of downward continuation. Furthermore we can show that by adapting regularization parameters to specific regions local solutions can improve considerably on global ones. We apply this concept to kinematic CHAMP orbits, and, for test purposes, to dynamic orbits. Finally we compare our recovered model to the EGM96 model, and the GFZ models EIGEN-2 and EIGEN-GRACE01s. Part C - Multiscale Modeling from EIGEN-1S, EIGEN-2, EIGEN-GRACE01S, UCPH2002_0.5, EGM96: Spherical wavelets have been developed by the Geomathematics Group Kaiserslautern for several years and have been successfully applied to georelevant problems. Wavelets can be considered as consecutive band-pass filters and allow local approximations. The wavelet transform can also be applied to spherical harmonic models of the Earth's gravitational field like the most up-to-date EIGEN-1S, EIGEN-2, EIGEN-GRACE01S, UCPH2002_0.5, and the well-known EGM96. Thereby, wavelet coefficients arise and these shall be made available to other interested groups. These wavelet coefficients allow the reconstruction of the wavelet approximations. Different types of wavelets are considered: bandlimited wavelets (here: Shannon and Cubic Polynomial (CP)) as well as non-bandlimited ones (in our case: Abel-Poisson). For these types wavelet coefficients are computed and wavelet variances are given. The data format of the wavelet coefficients is also included.W. Freeden; V. Michelpreprinthttps://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/1457Mon, 08 Dec 2003 11:25:15 +0100Multiresolution Data Analysis - Numerical Realization by use of Domain Decomposition Methods and Fast Multipole Techniques / Multiscale Solutions of Oblique Boundary-Value Problems by Layer Potentials
https://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/1344
This survey paper deals with multiresolution analysis from geodetically relevant data and its numerical realization for functions harmonic outside a (Bjerhammar) sphere inside the Earth. Harmonic wavelets are introduced within a suit- able framework of a Sobolev-like Hilbert space. Scaling functions and wavelets are defined by means of convolutions. A pyramid scheme provides efficient implementation und economical computation. Essential tools are the multiplicative Schwarz alternating algorithm (providing domain decomposition procedures) and fast multipole techniques (accelerating iterative solvers of linear systems).W. Freeden; C. Mayerpreprinthttps://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/1344Thu, 12 Sep 2002 10:37:46 +0200Spline Modelling of Geostrophic Flow: Theoretical and Algorithmic Aspects
https://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/1338
Spline functions that approximate (geostrophic) wind field or ocean circulation data are developed in a weighted Sobolev space setting on the (unit) sphere. Two problems are discussed in more detail: the modelling of the (geostrophic) wind field from (i)discrete scalar air pressure data and (ii) discrete vectorial velocity data. Domain decomposition methods based on the Schwarz alternating algorithm for positive definite symmetric matrices are described for solving large linear systems occuring in vectorial spline interpolation or smoothing of geostrophic flow.W. Freeden; K. Hessepreprinthttps://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/1338Fri, 19 Jul 2002 00:00:00 +0200Multiscale Deformation Analysis by Cauchy-Navier Wavelets
https://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/1281
A geoscientifically relevant wavelet approach is established for the classical (inner) displacement problem corresponding to a regular surface (such as sphere, ellipsoid, actual earth's surface). Basic tools are the limit and jump relations of (linear) elastostatics. Scaling functions and wavelets are formulated within the framework of the vectorial Cauchy-Navier equation. Based on appropriate numerical integration rules a pyramid scheme is developed providing fast wavelet transform (FWT). Finally multiscale deformation analysis is investigated numerically for the case of a spherical boundary.M. K. Abeyratne; W. Freeden; C. Mayerpreprinthttps://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/1281Thu, 21 Mar 2002 00:00:00 +0100Wavelets Generated by Layer Potentials
https://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/1264
By means of the limit and jump relations of classical potential theory the framework of a wavelet approach on a regular surface is established. The properties of a multiresolution analysis are verified, and a tree algorithm for fast computation is developed based on numerical integration. As applications of the wavelet approach some numerical examples are presented, including the zoom-in property as well as the detection of high frequency perturbations. At the end we discuss a fast multiscale representation of the solution of (exterior) Dirichlet's or Neumann's boundary-value problem corresponding to regular surfaces.W. Freeden; C. Mayerpreprinthttps://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/1264Tue, 27 Nov 2001 00:00:00 +0100Part1: Spectral and Multiscale Signal-to-Noise Thresholding of Spherical Scalar Fields; Part2: Spectral and Multiscale Signal-to-Noise Thresholding of Spherical Vector Fields
https://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/1147
Abstract: The basic concepts of selective multiscale reconstruction of functions on the sphere from error-affected data is outlined for scalar functions. The selective reconstruction mechanism is based on the premise that multiscale approximation can be well-represented in terms of only a relatively small number of expansion coefficients at various resolution levels. A new pyramid scheme is presented to efficiently remove the noise at different scales using a priori statistical information.W. Freeden; T. Maierpreprinthttps://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/1147Fri, 23 Mar 2001 00:00:00 +0100Orthogonal non-bandlimited wavelets on the sphere
https://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/1138
W. Freeden; V. Michelpreprinthttps://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/1138Thu, 07 Sep 2000 00:00:00 +0200Deformation Analysis Using Navier Spline Interpolation
https://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/567
The static deformation of the surface of the earth caused by surface pressure like the water load of an ocean or an artificial lake is discussed. First a brief mention is made on the solution of the Boussenesq problem for an infinite halfspace with the elastic medium to be assumed as homogeneous and isotropic. Then the elastic response for realistic earth models is determinied by spline interpolation using Navier splines. Major emphasis is on the derteminination of the elastic field caused by water loads from surface tractions on the (real) earth" s surface. Finally the elastic deflection of an artificial lake assuming a homogeneous isotropic crust is compared for both evaluation methods.Willi Freeden; E. Groten; Michael Schreiner; W. Söhhne; M. Tücckspreprinthttps://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/567Mon, 03 Apr 2000 00:00:00 +0200Multiscale Signal-to-Noise Thresholding
https://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/1047
The basic idea behind selective multiscale reconstruction of functions from error-affected data is outlined on the sphere. The selective reconstruction mechanism is based on the premise that multiscale approximation can be well-represented in terms of only a relatively small number of expansion coefficients at various resolution levels. An attempt is made within a tree algorithm (pyramid scheme) to remove the noise component from each scale coefficient using a priori statistical information (provided by an error covariance kernel of a Gaussian, stationary stochastic model).W. Freeden; V. Michel; M. Stengerpreprinthttps://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/1047Fri, 31 Mar 2000 00:00:00 +0200Spherical Tikhonov Regularization Wavelets in Satellite Gravity Gradiometry with Random Noise
https://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/1045
This paper considers a special class of regularization methods for satellite gravity gradiometry based on Tikhonov spherical regularization wavelets with particular emphasis on the case of data blurred by random noise. A convergence rate is proved for the regularized solution, and a method is discussed for choosing the regularization level a posteriori from the gradiometer data.W. Freeden; S. Pereverzevpreprinthttps://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/1045Tue, 21 Mar 2000 00:00:00 +0100