Inhaltsverzeichnis - Mathematisches Institut der Universität zu Köln

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DMV Tagung 2011 - Köln, 19. - 22. September 17:00 Christian Gerhards (Kaiserslautern) Multiscale Methods in Geomagnetic Modeling 17:30 Roelof Rietbroek (Bonn) The Use of GRACE Gravimetry and Altimetry to Separate Sea Level Contributions 18:00 Zdenek Martinec (Dublin) The Adjoint Sensitivity Method of Global Electromagnetic Induction for CHAMP Magnetic Data 18:30 Volker Michel (Siegen) Conclusions 152
DMV Tagung 2011 - Köln, 19. - 22. September Jörn Behrens Universität Hamburg, KlimaCampus A Practical Application of Uncertainty Propagation for Tsunami Early Warning The challenge of near-field tsunami early warning is to assess the situation precisely within a few minutes, limited by few and uncertain measurements of key indicators. In other words, in a short timeframe only limited information is available, but this information has to be interpreted in such a way, that false warnings are minimized. This challenge had not been addressed in existing tsunami early warning systems until recently and still leads to a large number of false positive (to be on the save side) tsunami warning messages world wide. In the course of development of the German Indonesian Tsunami Early Warning System (GITEWS), operational since 2008 in Jakarta, Indonesia, a new method to assess the situation has been developed [Behrens et al., 2010]. This method utilizes a simple, yet effective uncertainty propagation model, which leads to more robust and accurate situation assessments under the large uncertainty of the first few minutes after an earthquake event. The system is designed as an analog forecasting system, based on pre-computed scenarios. This allows for a forecast within seconds after measurements are available. In this presentation the basic design of the system is introduced. Examples for the high sensitivity and uncertainty of the forecasting problem are given and an analysis with a simple uncertainty propagation model is given. Based on the analysis, a new method that decreases uncertainties in a robust way, is derived. Finally, examples of successful application of the new method are given. Literatur Behrens, J., A. Androsov, A. Y. Babeyko, S. Harig, F. Klaschka, L. Mentrup. (2010). A new multi-sensor approach to simulation assisted tsunami early warning. Nat. Hazards Earth Syst. Sci., 10, 1085 - 1100. Katrin Bentel, Gabriel Goebel, Michael Schmidt, Christian Gerlach Norwegian University of Life Sciences, Deutsches Geodätisches Forschungsinstitut (DGFI), Bavarian Academy of Sciences and Humanities Point grid positions for radial base functions and their effect in regional gravity field representations Global gravity fields are most common represented in spherical harmonic base functions. However, the main drawback of this representation is that regional signals are not necessarily represented in an optimal way. Spherical harmonics have global support, thus, the gravity models are globally optimized best-fit solutions. That means, it is difficult to represent small spatial details, they can even be masked in the solutions. To represent a gravity signal in a specified region on a sphere appropriately, we use localizing radial base functions for regional gravity field modeling. The distribution of these individual base functions follows a predefined point grid. The type of grid, number of points, area boundaries, point density, and other parameters play a very important role in the representation of a signal. Depending on the type of grid and its characteristics, artificial structures occur in the estimation of gravity field parameters. In this study we present some of these typical structures and investigate in detail various effects of different point grid parameters in the representation of a regional gravity field. 153
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Frank Kutzschebauch Universität Be
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Ulrich Derenthal Ludwig-Maximilians
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Myriam-Sonja Hantke Universität zu
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Anna Dall’Acqua Otto-von-Guericke
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André Fischer Center of Smart Inte
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Juliette Hell Freie Universität Be
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Felix Schulze Freie Universität Be
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Eleutherius Symeonidis Katholische
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Felix Schlenk Universität Neuchât
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Martino, Maurizio, 15 Maruhn, Jan H
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Inhaltsverzeichnis - Mathematisches Institut der Universität zu Köln

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