Advances in Hazardous Weather Prediction: Data Assimilation, Numerical Model and Tools
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Meteorology".
Deadline for manuscript submissions: closed (15 July 2022) | Viewed by 22895
Special Issue Editors
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
Special Issues, Collections and Topics in MDPI journals
Interests: data assimilation; inverse modeling; atmospheric chemistry and composition; satellite remote sensing and data analysis; sources and sinks of atmospheric constituents; numerical weather prediction; global and regional air quality
Special Issue Information
Dear Colleagues,
Short-range (0–6 hour) weather forecasts have made significant progress recently for hazardous weather events including tornados, hails, flash flooding and damaging winds, etc. This is highly accredited to the advances in data assimilation (DA) algorithms and the application of radar/satellite observation data, the development with the 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 that are 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;
- development in verification method and data for hazardous events;
- applications of other computing techniques for hazardous weather systems, such as workflow development, software management, etc.
Dr. Yunheng Wang
Dr. Avelino F. Arellano
Guest Editors
Manuscript Submission Information
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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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