TY - JOUR A1 - Lesur, Vincent A1 - Wardinski, Ingo A1 - Bärenzung, Julien A1 - Holschneider, Matthias T1 - On the frequency spectra of the core magnetic field Gauss coefficients JF - Physics of the earth and planetary interiors N2 - From monthly mean observatory data spanning 1957-2014, geomagnetic field secular variation values were calculated by annual differences. Estimates of the spherical harmonic Gauss coefficients of the core field secular variation were then derived by applying a correlation based modelling. Finally, a Fourier transform was applied to the time series of the Gauss coefficients. This process led to reliable temporal spectra of the Gauss coefficients up to spherical harmonic degree 5 or 6, and down to periods as short as 1 or 2 years depending on the coefficient. We observed that a k(-2) slope, where k is the frequency, is an acceptable approximation for these spectra, with possibly an exception for the dipole field. The monthly estimates of the core field secular variation at the observatory sites also show that large and rapid variations of the latter happen. This is an indication that geomagnetic jerks are frequent phenomena and that significant secular variation signals at short time scales - i.e. less than 2 years, could still be extracted from data to reveal an unexplored part of the core dynamics. KW - Geomagnetism KW - Core field KW - Secular variation rate of change KW - Geomagnetic jerks KW - Correlation based modelling Y1 - 2017 U6 - https://doi.org/10.1016/j.pepi.2017.05.017 SN - 0031-9201 SN - 1872-7395 VL - 276 SP - 145 EP - 158 PB - Elsevier CY - Amsterdam ER - TY - THES A1 - Möhring, Jan T1 - Stochastic inversion for core field modeling using satellite data N2 - Magnetfeldmodellierung mit Kugelflächenfunktionen basiert auf der Inversion nach hunderten bis tausenden von Parametern. Dieses hochdimensionale Problem kann grundsätzlich als ein Optimierungsproblem formuliert werden, bei dem ein globales Minimum einer gewissen Zielfunktion berechnet werden soll. Um dieses Problem zu lösen, gibt es eine Reihe bekannter Ansätze, dazu zählen etwa gradientenbasierte Verfahren oder die Methode der kleinsten Quadrate und deren Varianten. Jede dieser Methoden hat verschiedene Vor- und Nachteile, beispielsweise bezüglich der Anwendbarkeit auf nicht-differenzierbare Funktionen oder der Laufzeit zugehöriger Algorithmen. In dieser Arbeit verfolgen wir das Ziel, einen Algorithmus zu finden, der schneller als die etablierten Verfahren ist und sich auch für nichtlineare Probleme anwenden lässt. Solche nichtlinearen Probleme treten beispielsweise bei der Abschätzung von Euler-Winkeln oder bei der Verwendung der robusteren L_1-Norm auf. Dazu untersuchen wir die Anwendbarkeit stochastischer Optimierungsverfahren aus der CMAES-Familie auf die Modellierung des geomagnetischen Feldes des Erdkerns. Es werden sowohl die Grundlagen der Kernfeldmodellierung und deren Parametrisierung anhand einiger Beispiele aus der Literatur besprochen, als auch die theoretischen Hintergründe der stochastischen Verfahren gegeben. Ein CMAES-Algorithmus wurde erfolgreich angewendet, um Daten der Swarm-Satellitenmission zu invertieren und daraus das Magnetfeldmodell EvoMag abzuleiten. EvoMag zeigt gute Übereinstimmung mit etablierten Modellen, sowie mit Observatoriumsdaten aus Niemegk. Wir thematisieren einige beobachtete Schwierigkeiten und präsentieren und diskutieren die Ergebnisse unserer Modellierung. N2 - Geomagnetic field modeling using spherical harmonics requires the inversion for hundreds to thousands of parameters. This large-scale problem can always be formulated as an optimization problem, where a global minimum of a certain cost function has to be calculated. A variety of approaches is known in order to solve this inverse problem, e.g. derivative-based methods or least-squares methods and their variants. Each of these methods has its own advantages and disadvantages, which affect for example the applicability to non-differentiable functions or the runtime of the corresponding algorithm. In this work, we pursue the goal to find an algorithm which is faster than the established methods and which is applicable to non-linear problems. Such non-linear problems occur for example when estimating Euler angles or when the more robust L_1 norm is applied. Therefore, we will investigate the usability of stochastic optimization methods from the CMAES family for modeling the geomagnetic field of Earth's core. On one hand, basics of core field modeling and their parameterization are discussed using some examples from the literature. On the other hand, the theoretical background of the stochastic methods are provided. A specific CMAES algorithm was successfully applied in order to invert data of the Swarm satellite mission and to derive the core field model EvoMag. The EvoMag model agrees well with established models and observatory data from Niemegk. Finally, we present some observed difficulties and discuss the results of our model. T2 - Stochastische Inversion für Kernfeldmodellierung mit Satellitendaten KW - Geomagnetismus KW - Kernfeldmodellierung KW - Optimierung KW - Evolutionsstrategien KW - Inverse Probleme KW - Geomagnetism KW - Core Field Modeling KW - Optimization KW - Evolution Strategies KW - Inverse Problems Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-498072 ER - TY - GEN A1 - Brown, Maxwell C. A1 - Donadini, Fabio A1 - Nilsson, Andreas A1 - Panovska, Sanja A1 - Frank, Ute A1 - Korhonen, Kimmo A1 - Schuberth, Maximilian A1 - Korte, Monika A1 - Constable, Catherine G. T1 - GEOMAGIA50.v3 BT - 2. A new paleomagnetic database for lake and marine sediments T2 - Postprints der Universität Potsdam : Mathematisch Naturwissenschaftliche Reihe N2 - Background: GEOMAGIA50.v3 for sediments is a comprehensive online database providing access to published paleomagnetic, rock magnetic, and chronological data obtained from lake and marine sediments deposited over the past 50 ka. Its objective is to catalogue data that will improve our understanding of changes in the geomagnetic field, physical environments, and climate. Findings: GEOMAGIA50.v3 for sediments builds upon the structure of the pre-existing GEOMAGIA50 database for magnetic data from archeological and volcanic materials. A strong emphasis has been placed on the storage of geochronological data, and it is the first magnetic archive that includes comprehensive radiocarbon age data from sediments. The database will be updated as new sediment data become available. Conclusions: The web-based interface for the sediment database is located at http://geomagia.gfz-potsdam.de/geomagiav3/SDquery.php. This paper is a companion to Brown et al. (Earth Planets Space doi:10.1186/s40623-015-0232-0,2015) and describes the data types, structure, and functionality of the sediment database. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 875 KW - Geomagnetism KW - Paleomagnetism KW - Sediment magnetism KW - Rock magnetism KW - Environmental magnetism KW - Database KW - GEOMAGIA50 Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-434768 SN - 1866-8372 IS - 875 ER - TY - GEN A1 - Lesur, Vincent A1 - Wardinski, Ingo A1 - Asari, Seiki A1 - Minchev, Borislav A1 - Mandea, Mioara T1 - Modelling the Earth's core magnetic field under flow constraints T2 - Postprints der Universität Potsdam : Mathematisch Naturwissenschaftliche Reihe N2 - Two recent magnetic field models, GRIMM and xCHAOS, describe core field accelerations with similar behavior up to Spherical Harmonic (SH) degree 5, but which differ significantly for higher degrees. These discrepancies, due to different approaches in smoothing rapid time variations of the core field, have strong implications for the interpretation of the secular variation. Furthermore, the amount of smoothing applied to the highest SH degrees is essentially the modeler’s choice. We therefore investigate new ways of regularizing core magnetic field models. Here we propose to constrain field models to be consistent with the frozen flux induction equation by co-estimating a core magnetic field model and a flow model at the top of the outer core. The flow model is required to have smooth spatial and temporal behavior. The implementation of such constraints and their effects on a magnetic field model built from one year of CHAMP satellite and observatory data, are presented. In particular, it is shown that the chosen constraints are efficient and can be used to build reliable core magnetic field secular variation and acceleration model components. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 844 KW - Geomagnetism KW - core field modeling KW - core flow modeling KW - frozen-flux Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-430369 SN - 1866-8372 IS - 844 SP - 503 EP - 516 ER - TY - JOUR A1 - Brown, Maxwell C. A1 - Donadini, Fabio A1 - Nilsson, Andreas A1 - Panovska, Sanja A1 - Frank, Ute A1 - Korhonen, Kimmo A1 - Schuberth, Maximilian A1 - Korte, Monika A1 - Constable, Catherine G. T1 - GEOMAGIA50.v3: 2. A new paleomagnetic database for lake and marine sediments JF - Earth, planets and space N2 - Background: GEOMAGIA50.v3 for sediments is a comprehensive online database providing access to published paleomagnetic, rock magnetic, and chronological data obtained from lake and marine sediments deposited over the past 50 ka. Its objective is to catalogue data that will improve our understanding of changes in the geomagnetic field, physical environments, and climate. Findings: GEOMAGIA50.v3 for sediments builds upon the structure of the pre-existing GEOMAGIA50 database for magnetic data from archeological and volcanic materials. A strong emphasis has been placed on the storage of geochronological data, and it is the first magnetic archive that includes comprehensive radiocarbon age data from sediments. The database will be updated as new sediment data become available. Conclusions: The web-based interface for the sediment database is located at http://geomagia.gfz-potsdam.de/geomagiav3/SDquery.php. This paper is a companion to Brown et al. (Earth Planets Space doi:10.1186/s40623-015-0232-0,2015) and describes the data types, structure, and functionality of the sediment database. KW - Geomagnetism KW - Paleomagnetism KW - Sediment magnetism KW - Rock magnetism KW - Environmental magnetism KW - Database KW - GEOMAGIA50 Y1 - 2015 U6 - https://doi.org/10.1186/s40623-015-0233-z SN - 1880-5981 VL - 67 PB - Springer CY - Heidelberg ER -