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  • 22 - Pointwise and Spectral Observations in Geomagnetic Data Assimilation: The Importance of Localization

  • from Part III - ‘Solid’ Earth Applications: From the Surface to the Core
  • Edited by Alik Ismail-Zadeh, Karlsruhe Institute of Technology, Germany, Fabio Castelli, Università degli Studi, Florence, Dylan Jones, University of Toronto, Sabrina Sanchez, Max Planck Institute for Solar System Research, Germany
  • Book:
    Applications of Data Assimilation and Inverse Problems in the Earth Sciences
    Published online:
    20 June 2023
    Print publication:
    06 July 2023, pp 341-355

  • Summary

    Abstract: Geomagnetic data assimilation aims at constraining the state of the geodynamo working at the Earth’s deep interior by sparse magnetic observations at and above the Earth’s surface. Due to difficulty separating the different magnetic field sources in the observations, spectral models of the geomagnetic field are generally used as inputs for data assimilation. However, the assimilation of raw pointwise observations can be relevant within certain configurations, specifically with paleomagnetic and historical geomagnetic data. Covariance localisation, which is a key ingredient to the assimilation performance in an ensemble framework, is relatively unexplored, and differs with respect to spectral and pointwise observations. This chapter introduces the main characteristics of geomagnetic data and magnetic field models, and explores the role of model and observation covariances and localisation in typical assimilation set-ups, focusing on the use of 3D dynamo simulations as the background model.