1 Overview
Earth Science is entering a new era driven by massive observational data and complex computational models, Deeply integrated with computing technologies. From global climate modeling and ocean dynamics analysis to geological exploration and extreme weather forecasting, Earth system science research increasingly relies on advanced computational tools and massive datasets. Against this backdrop, a number of open source resources, in the form of curated datasets, web-based databases, stand-alone software, or library packages have been floating in various forms online.
These codes and data resources play a crucial role in Earth Science research and related engineering practices. However, traditional scientific publications usually focus on the algorithms, physical mechanisms, theoretical proofs, benchmarking evaluations and comparisons that is in the background of these resources. The instructions, case studies, application examples and sample codes, which genuinely help researchers and practitioners to utilize these resources, usually do not get published as formal journal papers.
When these resources are applied in practical research, a reference with constant and static description content is usually highly needed. Therefore, this special issue is intended as a platform for short descriptive notes that provide information on the usage and guidelines for novel software, library packages, datasets, and web-sites with data query and computation functions.
• These codes and data must represent implementations of novel algorithms, methods or with scientific significant discoveries.
• In particular, these codes and data must be with applications on Earth Science related fields or interdisciplinary fields.
• The contents of these notes must not be published elsewhere or under consideration for publication elsewhere.
• If preprints are deposited, it must be revealed to the journal on the initial submission.
• Once published, the authors are responsible to maintain the availability of the software or the website for at least two years, with a link to the published paper in the journal FCS.
2 Topics of Interest
Topics of interest cover a broad range of interdisciplinary fields between Earth Science, Data Science, and Computing, including but not limited to the following aspects:
• Earth System Modeling and Prediction: Foundation models for meteorology, oceanography, and land surfaces; open-source codes for numerical simulations; large-scale training datasets and benchmarking evaluations.
• Extreme Weather and Climate Change: Prediction algorithms for extreme climate events (e.g., severe convection, typhoons, floods, droughts) and long-tail distribution scenarios; disaster assessment models; multi-source refined observation/simulation datasets.
• Earth Observation and Remote Sensing Informatics: Application frameworks of computer vision and multimodal learning in multi-source spatial data analysis, including satellite earth observation, radar detection, and UAV mapping.
• Geospatial Intelligence and Urban Computing: Spatial data mining, urban informatics, and computational analysis tools/datasets for human-earth environment interactions.
• Data Assimilation and Geophysical Inversion: Data assimilation algorithms integrating machine learning with traditional physical methods; optimization of parameterization schemes; geophysical exploration and inversion codes.
• AI-driven Earth Science Discovery: AI Agent frameworks for automated scientific discovery (AI for Science) and autonomous agents; construction of earth science knowledge graphs; automated knowledge extraction and structured reconfiguration from multimodal earth science literature (e.g., PDFs, tables, and figures); and open-source tools for large-scale scientific corpus generation, hypothesis generation, and validation.
3 Online Submission
• The authors should submit their manuscript directly online, by http://mc.manuscriptcentral.com/hepfcs. All manuscripts must be written in English.
• All manuscript will be peer-reviewed based on the usefulness, the novelty, the originality and the presentation.
• The length of the paper is restricted strictly to be shorter than 2 journal pages, or within 1500 words and 1 figure.
• No more than 12 reference is allowed for each paper in this special issue.
• When the authors were submitting the manuscript, they should choose the manuscript type as "Code & Data in Earth Science".
• Please use the Letter template, which will also be found on this site, to set the layout of the paper.
4 Guest Editors
• Fan Meng, Nanjing University of Information Science and Technology, China
• Fenghua Ling,Shanhai AI Lab,China