Comment on egusphere-2025-3989

Abstract

Abstract. Understanding complex fault networks is essential for reconstructing their geological history, quantifying deformation in tectonically active regions, and assessing geohazards and resource potentials. Structure and evolution of fault networks are investigated using a range of methods, including numerical and analogue modelling, as well as the analysis of topographic data derived from satellite imagery. However, due to the high density and complexity of fault systems in many study areas or models, automated analysis remains a significant challenge, and fault interpretation is often performed manually. To address this limitation, we present Fatbox, the fault analysis toolbox, an open-source Python library that integrates semi-automated fault extraction with automated geometric and kinematic analysis of fault networks. The toolbox capabilities are demonstrated through three case studies on normal fault systems: (1) fault extraction and geometric characterization from GLO-30 topographic data in the Magadi-Natron Basin; (2) spatio-temporal tracking of fault development in vertical cross-sections of a forward numerical rift model; and (3) surface fault mapping and geometric evolution of an analogue rift model. By representing fault networks as graphs, Fatbox captures the complexity and variability inherent to fault systems. In time-dependent models, the toolbox enables temporal tracking of faults, providing detailed insights into their geometric evolution and facilitating high-resolution measurements of fault kinematics. Fatbox offers a versatile and scalable framework that enhances the efficiency, reproducibility, and precision of fault system analysis – opening new avenues for tectonic research.

Authors 7

1. Pauline Gayrin corresponding

   University of Potsdam · GFZ Helmholtz Centre for Geosciences

   Affiliation as printed

   GFZ Helmholtz Centre for Geosciences, Potsdam, 14473, Germany

   University of Potsdam, Potsdam, 14476, Germany

2. Thilo Wrona
   Affiliation as printed

   Deutsche ErdWärme GmbH & Co KG, Karlsruhe, 76133, Germany

3. Sascha Brune

   University of Potsdam · GFZ Helmholtz Centre for Geosciences

   Affiliation as printed

   GFZ Helmholtz Centre for Geosciences, Potsdam, 14473, Germany

   University of Potsdam, Potsdam, 14476, Germany

4. Derek Neuharth

   GFZ Helmholtz Centre for Geosciences

   Affiliation as printed

   GFZ Helmholtz Centre for Geosciences, Potsdam, 14473, Germany

5. Nicolas Molnar Aachen

   RWTH Aachen University

   Affiliation as printed

   Formerly at University of Aachen, Aachen, 52072, Germany

6. Alessandro La Rosa

   University of Pisa

   Affiliation as printed

   University of Pisa, Pisa, 56126, Italy

7. John B. Naliboff

   New Mexico Institute of Mining and Technology

   Affiliation as printed

   New Mexico Institute of Mining and Technology, Socorro, NM 8780, United States of America