Advances in Hazardous Weather Prediction: Data Assimilation, Numerical Model and Tools (3rd Edition)
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Meteorology".
Deadline for manuscript submissions: closed (30 September 2024) | Viewed by 226
Special Issue Editors
Interests: doppler weather radar data assimilation; satellite remote sensing observation data assimilation; integrated variational hybrid assimilation system development; wind, solar and other renewable energy research
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2. National Severe Storms Laboratory (NSSL), National Oceanic & Atmospheric Administration, Norman, OK 73072, USA
Interests: radar data assimilation; regional NWP; convective-allowing model; high-performance computing
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Special Issue Information
Dear Colleagues,
This Special Issue is a follow-up of the first Special Issue entitled “Advances in Hazardous Weather Prediction: Data Assimilation, Numerical Model and Tools (2nd Edition)” (https://www.mdpi.com/journal/atmosphere/special_issues/YV418U1IXT) published in Atmosphere in 2023 and will cover all aspects of hazardous weather prediction issues.
Recently, short-range (0–6 hour) weather forecasts have made significant progress in hazardous weather events, including in predictions of tornados, hails, flash floods, damaging winds, etc. This is due to advances in data assimilation (DA) algorithms and the application of radar/satellite observation data, the development of convective-allowing models (CAMs), the utilization of high-performance computers and the development of AI techniques. This Special Issue seeks submissions on the following topics related to the improvement of forecasts, warnings and decision support for high-impact thunderstorm events:
- CAM development and application;
- DA algorithms and application for new observation datasets;
- High-performance computing in DA and CAMs;
- Applications of machine learning and AI techniques for hazardous event prediction;
- Developments in verification methods and data for hazardous events;
- Applications of other computing techniques for hazardous weather systems, such as workflow development, software management, etc.
Dr. Feifei Shen
Dr. Yunheng Wang
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 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. 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
- radar data assimilation
- regional numerical weather prediction
- convective-allowing model
- probabilistic hazard information
- high-performance computing
- machine learning and artificial intelligence
- objective verification
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