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Elsevier

Journals in Computers in geosciences

This portfolio encompasses advanced computational methods, data analysis, modelling, and visualization techniques tailored for geoscience applications. It supports geologists, geophysicists, and environmental scientists engaged in simulating Earth systems, interpreting large datasets, and developing innovative tools. Featuring state-of-the-art algorithms and case studies, these resources facilitate breakthroughs in seismic imaging, mineral exploration, and environmental monitoring, enabling researchers to solve complex geological problems with precision and efficiency.

  • Ocean Modelling

    • ISSN: 1463-5003
    Ocean Modelling is an international journal that highlights the significant findings and breakthroughs in all aspects of ocean modelling research to support the advancement of ocean sciences.Ocean Modelling welcomes submissions in various forms of mechanism analysis, laboratory experiments, ocean model development, improvements and applications, as well as model-observation synergies. In particular, ocean model applications at different scales that aim at understanding the ocean and Earth system and its coupling to biological, geological and chemical systems are welcome. Special attention can be also given to interdisciplinary contributions focusing on interactions between physics, biology and chemistry, cross-scale processes, and machine learning.The journal publishes topics including:Models of ocean circulation, surface waves, tides and sea ice, marine ecosystems, biogeochemical processes, sediment processes, and coastal morphology.Earth system models, ocean-atmosphere coupled models, and climate models with a special emphasis on the role of the ocean.Innovative modelling, combined with observational, theoretical studies concerning physical and biogeochemical processes in different time and space scales.Technologies associated with ocean model development, (e.g., model framework, coupler, data assimilation, high-performance computing, and artificial intelligence).Simula... prediction and response strategy of ocean and climate disasters like tsunamis, flooding, volcano eruptions, float stone, marine heat waves, oil spill movements, etc.Improved understanding of the variability in the ocean and its past, present and future role in the wider climate system using models and observations.Topical Collections will be envisaged for timely topics, related to ocean modelling, to promote key advances in specific research areas in ocean modelling and to bring together high-quality contributions in the collection's domain. Ocean Modelling welcome submissions to the 3 ongoing Topical Collections: Cross-Scale Processes in Ocean Modelling, Artificial Intelligence (AI) Methods and Applications for Ocean Modelling, Advancements in Earth System Modelling with Ocean Components.Ocean Modelling publishes 12 issues per year with 4 categories of articles, including:1. Research Papers form the core of the journal, with a typical length of 6000 words and a maximum of 10000 words.2. Reviews are between 8000 and 20000 words, on topics cross traditional lines.3. Short Communications are short research papers, with a typical length of 2000 words, and a maximum of 5000 words, 3 Figures or Tables.4. Perspective papers discuss about subjective positions, viewpoints or new concepts within less than 2000 words.
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  • Computers & Geosciences

    • ISSN: 0098-3004
    Computers & Geosciences publishes original, high-impact research at the interface between computing/informatic... and the geosciences. Submissions must make a substantive contribution in both dimensions: (1) an innovative computational, informatics, or software element, and (2) a clear geoscientific contribution addressing a scientific problem of broad interest to the geoscience community.Manuscript... are suitable for the journal only when the computational/inform... component is central to the work and advances the state of the art beyond routine implementation, straightforward application, or incremental adaptation of existing methods. It is expected that code is provided for all scientific research articles.Relevant computational/inform... contributions include, but are not limited to: novel algorithms; computational methods; scientific software; data models; scientific databases and retrieval systems; machine learning and artificial intelligence; inversion and data assimilation frameworks; uncertainty quantification workflows; visualization and human-computer interaction for geoscientific analysis; high-performance, parallel, cloud, or distributed computing; reproducible research infrastructures; and interoperable digital frameworks for geoscientific data and modelling.Relevant geoscientific domains include: geology; geophysics; geochemistry; geomorphology; sedimentology; stratigraphy; palaeontology; tectonics and structural geology; seismology; volcanology; hydrology; hydrogeology; and Earth-system science. Manuscripts centered primarily on generic environmental engineering, routine GIS applications, signal processing, agriculture, ecology, or other topics outside the core geosciences are normally outside the journal’s scope unless the geoscientific contribution is explicit, substantial, and of clear interest to the readership.Code, software, data, and reproducibility requirementsFor any manuscript presenting software, code, workflows, trained models, computational pipelines, or implementation details essential to the results, public access to the corresponding repository is mandatory at submission and required for acceptance. A manuscript will not be accepted for review without a GitHub repository or equivalent public repository that is properly documented and enables evaluation, reuse, and long-term utility to the community.there needs to be a link to the repository in the manuscript and at a minimum, the repository must include:a clear license;a ReadMe file in English with basic usage and installation instructions;documen... of dependencies and computational requirements;suffici... material to reproduce the main results in the paper, or a clear explanation of any justified limitations if data cannot be shared, a dummy model or a synthetic dataset for test cases should be providedhow-to files or tutorials for typical use cases;a user guide describing inputs, outputs, options, and expected behaviour; and for security reasons, a single compacted file is not accepted (e.g. .zip, .rar, .7z)any comments in the code must be in EnglishRepositories that are incomplete, poorly documented, inaccessible, private at the review or acceptance stage, or lacking reproducible examples are grounds for rejection. Manuscripts describing software that is not open source are normally desk rejected.Computers & Geosciences will not consider manuscripts that fall into any of the following categories:geoscienc... studies with no genuine computational or informatics innovation;computer science or informatics papers with no clear and substantive geoscientific contribution;routine application of established methods, software, machine learning models, GIS workflows, or visualization tools to a case study;incremental code implementations of already published methods without a clear methodological or software advance;manuscripts focused mainly on engineering design, operational management, consultancy-style case studies, or site-specific technical problem solving rather than geoscientific insight of broader relevance;papers in which the computational element is peripheral, cosmetic, or limited to software packaging or interface development;purely methodological developments (e.g. geophysics, hydrology) purely analytical developments unless they have significant implications on computational geoscientific problemspure case studies and application examples less they have significant implications on computational geoscientific problemsGUI papers unless the interface itself solves a significant, non-trivial scientific-computing problem;benchmark or comparison papers lacking novelty, reproducibility, or transferable insight;papers whose results cannot be independently evaluated because code, workflow details, trained models, key parameters, or supporting data are unavailable; andmanuscripts generated around black-box tools or proprietary workflows with insufficient transparency for scientific scrutiny.Submissions should make clear, from the title, abstract, and introduction onward, what is new computationally, what is new geoscientifically, and why both matter.Manuscripts better aligned with applied implementation, software deployment, or practical case studies may be more suitable for the companion journal Applied Computing & Geosciences.
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