Reconstructing the spatial and temporal evolution of the Earth’s magnetic field relies on high-quality paleomagnetic and archaeomagnetic records, robust chronological constraints, and increasingly sophisticated modelling approaches. Integrating these different components is essential for advancing our understanding of geomagnetic field behaviour over timescales ranging from decades and centuries to millions of years. This session aims to bring together researchers working across the different stages of geomagnetic field reconstruction, from the acquisition and interpretation of directional and absolute paleointensity data to their integration into regional and global geomagnetic field models. We welcome contributions presenting new paleomagnetic records from all kinds of archives, including archaeological materials, volcanic rocks, and sediments, as well as studies addressing directional and paleointensity methods, data reliability and selection criteria, chronological uncertainties, and the development and improvement of paleomagnetic databases. The session also welcomes contributions on magnetostratigraphy and geomagnetic field variations recorded in sedimentary and volcanic sequences, including studies that refine chronological frameworks and provide new constraints on the long-term evolution and polarity behaviour of the geomagnetic field.
Particular attention will be given to approaches that bridge observations and modelling, including regional and global geomagnetic field reconstructions, data assimilation and statistical approaches, the treatment and propagation of uncertainties, and comparisons between different datasets and models. By bringing together paleomagnetists and geomagnetic field modellers, the session seeks to foster dialogue and collaboration across these communities and to explore how new data, improved chronologies, and advances in modelling strategies can jointly contribute to more robust reconstructions of the Earth’s magnetic field through time.
EMRP3
From Paleomagnetic Records to Geomagnetic Field Models: Bridging Data, Models, and Field Reconstructions
Convener:
Kirolosse GirgisECSECS
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Co-conveners:
Evdokia Tema,
Raquel Bonilla AlbaECSECS,
Victor MarumECSECS,
Gaëlle Ségué-Passama