High-Performance Computing for Atmospheric Modeling (2nd Edition)
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Atmospheric Techniques, Instruments, and Modeling".
Deadline for manuscript submissions: 10 May 2026 | Viewed by 1552
Special Issue Editors
Interests: atmospheric science; computational science; Earth system modeling; high performance computing
Special Issues, Collections and Topics in MDPI journals
Interests: inverse problems; high-performance computing; AI for science; optimal experimental design
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue is the second volume in a series of publications dedicated to “High-Performance Computing for Atmospheric Modeling” (https://www.mdpi.com/journal/atmosphere/special_issues/X13Y2W441O).
The primary objectives of atmospheric modeling are to improve our understanding, prediction, and assessment of atmospheric phenomena, ranging from short-term weather to long-term climate changes, air quality, atmospheric composition, and the interactions between the atmosphere and other components of the Earth system.
High-performance computing (HPC) empowers atmospheric modeling by enabling higher resolutions, complex configurations, ensemble simulations, data assimilation, parameter space exploration, and faster model development. It enhances the accuracy, realism, and scientific understanding of atmospheric processes, thereby improving weather prediction, climate projections, air quality assessments, and our overall knowledge of the Earth's atmosphere.
Developing and maintaining the complex software of atmospheric models for current and future HPC systems is challenging. Collaborations between atmospheric scientists and computational experts are crucial for successfully utilizing HPC in atmospheric modeling.
We invite scientists to contribute original research and review articles on future directions for HPC for atmospheric modeling. Topics of interest include, but are not limited to, the following:
- Computational complexity and efficient HPC implementation of numerical algorithms used to simulate the behavior of the atmosphere;
- Scalability of highly parallel codes, requiring careful load balancing, minimization of communication overhead, and optimization of data transfer between computing units;
- Code optimization to exploit the full potential of HPC systems, including specialized hardware features such as vectorization, multi-core processors, and accelerators such as GPUs or FPGAs;
- Studies on software complexity, considering that atmospheric models are large, complex software systems with many interacting components;
- Efficient data transfer and storage techniques for terabytes to petabytes of data, including meteorological observations and simulation results;
- Integrating machine learning and AI-driven approaches for model parameterization, data assimilation, uncertainty quantification, and computational efficiency improvements.
Dr. Lars Hoffmann
Prof. Dr. Yi Heng
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Atmosphere is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- atmospheric modeling
- numerical weather prediction
- climate modeling
- high-performance computing
- software complexity
- numerical algorithms
- performance optimization
- parallel scalability
- data management
- new hardware architectures
- machine learning
- AI applications
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