Focus and Scope

Computers in Earth Science Letters (CESL) is a peer-reviewed international journal dedicated to the rapid dissemination of high-quality research at the intersection of computational methods and Earth sciences. The journal publishes concise, impactful contributions that advance the understanding of Earth systems through the application of computer-based approaches, data science, and numerical modeling.

The journal aims to serve as a platform for interdisciplinary research integrating geology, geophysics, geochemistry, climatology, hydrology, oceanography, and environmental sciences with modern computational techniques such as artificial intelligence, machine learning, big data analytics, and high-performance computing.

Computers in Earth Science Letters emphasizes methodological innovation, reproducible research, and practical applications that contribute to solving contemporary challenges related to natural resources, natural hazards, climate change, and environmental sustainability. The journal welcomes original research articles, short communications (letters), methodological notes, and invited reviews.

The journal covers, but is not limited to, the following topics:

Computational Methods in Earth Sciences

  • Numerical modeling and simulation of Earth processes

  • High-performance computing and parallel algorithms

  • Data assimilation and uncertainty quantification

  • Geostatistics and spatial analysis

Artificial Intelligence and Data Science

  • Machine learning and deep learning applications

  • Big data analytics in geosciences

  • Pattern recognition and predictive modeling

  • Automated interpretation of geological and geophysical data

Geophysics and Geology

  • Computational seismology and tectonic modeling

  • Rock physics and geomechanics modeling

  • Remote sensing and geophysical imaging

  • Structural geology and basin modeling

Geochemistry and Geofluids

  • Isotope modeling and geochemical simulations

  • Reactive transport modeling

  • Hydrothermal and geothermal system modeling

  • Computational petrology and mineral physics

Climate, Ocean, and Atmospheric Sciences

  • Climate modeling and Earth system models

  • Ocean circulation and biogeochemical modeling

  • Atmospheric dynamics and extreme weather prediction

Hydrology and Environmental Sciences

  • Groundwater and surface water modeling

  • Environmental monitoring and decision support systems

  • Natural hazard assessment (volcanoes, earthquakes, landslides, floods)

  • Sustainable resource management and environmental impact analysis