Early Career Scientists' (ECS) Contributions to Meteorology (2025)
A special issue of Meteorology (ISSN 2674-0494).
Deadline for manuscript submissions: 30 November 2025 | Viewed by 1113
Special Issue Editor
Interests: regional climate modeling; climate changes; numerical weather prediction models; extreme events
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In 2022, we launched a Special Issue to provide an opportunity for early career scientists in meteorology to share their results with the scientific community. Due to the success of this initiative, in 2023, we decided to launch a second edition of this Special Issue. Both attracted many young scientists, and several relevant papers were published. For this reason, we launched a 2024 edition of the Special Issue. Building on this success, we are now excited to announce the 2025 edition.
As with the previous editions, manuscripts on all meteorological topics are welcome. Key subjects that could be explored include the following:
- Currently challenging areas in weather models, including (but not limited to) data assimilation techniques, the optimization of parameterization schemes, model calibrations, and ensemble forecasting;
- The rise of machine learning in weather forecasting, including advancements in deep learning models, hybrid systems integrating physical and data-driven approaches, and applications of AI to extreme weather prediction and uncertainty quantification;
- Numerical weather prediction in the lower stratosphere;
- Weather drones, or meteo-drones: unmanned aerial vehicles (UAVs) that record weather conditions;
- Remote sensing in meteorology (e.g., innovative studies focusing on cloud microphysics or, wind profile satellite observations);
- Urban weather—urban heat islands, the interaction between the meteorological and social spheres, and local nowcasting tools in the operational spaces of drones (low atmosphere).
This Special Issue will include original research articles and reviews where the first author is an early career scientist (a student, a Ph.D. candidate, or a practicing scientist who received their highest certificate within the past 5 years). We will provide additional discounts on the APC (article processing charges) upon request, as well as additional guidance on how to address reviewers’ comments. The publication process will be as transparent and efficient as possible, and submissions will be assessed by at least two reviewers as rigorously as any other paper submitted to Meteorology.
Dr. Edoardo Bucchignani
Guest Editor
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 100 words) can be sent to the Editorial Office for announcement on this website.
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. Meteorology is an international peer-reviewed open access quarterly 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 1000 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
- numerical weather prediction models
- remote sensing
- model assessment
- extreme events
- urban weather
- small-scale processes
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