Editorial of Special Issue "Advances and Applications in Computational Geosciences"

In geoscientific fields, mathematical modelling, numerical analysis, visualization, simulation, and other computational techniques have become necessary to improve our understanding of phenomena and evolution of the Earth. These days, both academia and industry rely heavily on computational tools for their geoscientific work, addressing geoscientific challenges, supporting prediction and decision making. Machine learning, virtual reality (VR), augmented reality (AR), and artificial intelligence (AI) are active development areas for novel geoscientific technologies and applications. In recent years, significant advances have been driven by the techniques used for observation of the Earth’s systems, which improve computational models and solution methods for complex geoscientific systems. Therefore, we organized this Special Issue to provide a multidisciplinary overview of geoscientific research and applied case studies involving computational techniques. By collecting these computational geoscientific works in one issue, we aim to enhance our understanding, define the challenges, and enable future collaborations. This Special Issue highlights advances and applications in computational geosciences, including theory, numerical methods, software development, scientific design, and field-based practices.