Impact-Based Forecast and Early Warnings from Meteorological Services
A special issue of Meteorology (ISSN 2674-0494).
Deadline for manuscript submissions: closed (30 April 2022) | Viewed by 1250
Special Issue Editors
Interests: aviation meteorology; aviation safety; mountain meteorology; meteorological instrumentation
Special Issues, Collections and Topics in MDPI journals
Interests: mean radiant temperature; physiologically equivalent temperature PET; rayman; urban climate; urban planning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Extreme weather events such as extreme heat, heavy rain, and intense tropical cyclones are found to occur in many areas over the whole globe. The conventional weather forecast and warning services face significant challenges when it comes to such high-impact but low probabilistic events. Global climate change is adding to these complexities with processes likely to become more extreme, near linear dependences of variables becoming non-linear, and non-linear events becoming much more difficult to measure, model, and predict. The World Meteorological Organization (WMO) has put forward the concept of risk-based, multi-hazard and impact-based weather forecast and early warning services. Many such services have been tried out or are even in operational phases in a number of meteorological services around the world.
This Special Issue focuses on experience sharing of the development and implementation of impact-based weather forecast and early warning services. It will include the discussion of a number of extreme weather events, such as the definition of cold surges which is better aligned with human thermal perception and the consideration of flooding for rainstorm warning services, to name a few. It is hoped that the Special Issue will provide a platform for showcasing the latest developments and operational implementation of impact-based weather forecasting and early warning services. Contributions on operational weather forecasting services are particularly welcome.
Dr. Pak-Wai Chan
Prof. Dr. Andreas Matzarakis
Guest Editors
Manuscript Submission Information
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Keywords
- impact-based weather forecast
- weather warning
- extreme weather
- low probabilistic events
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