Multiple Methods and Platforms in Observation and Nowcasting of Weather Hazards Events
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Atmospheric Techniques, Instruments, and Modeling".
Deadline for manuscript submissions: closed (15 September 2020) | Viewed by 216
Special Issue Editor
Special Issue Information
Dear Colleagues,
The goal of this issue is to represent the ongoing research in the framework of definitions of innovative methods and platforms devoted to the observation and forecast of different weather hazards (such as icing, clear air turbulence, fog, intense convection activity and hail), on different time ranges, with a special focus on nowcasting.
For many social and economic sectors, it can be relevant to collect information about the features, reliability, and performances of methods and platforms available on this topic.
The scientific community is also very interested in methods based on the integration of different data and the creation of innovative tools for processing multi-source data.
As an example, tools can be based on new meteorological satellite data and products, which provide detailed information in areas where usually conventional data are not available. That information can also be adequately integrated, using physical methods and statistical algorithms, with other typologies of observations in order to build efficient tools for detection and forecast of weather hazards.
It is also relevant to show how these tools manage the occurrence of anthropogenic climate change having relevant impacts on magnitude and frequency of some hazards or/and if these tools satisfy the requirements to be included in early warning system.
Dr. Paola Mercogliano
Guest Editor
Manuscript Submission Information
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Keywords
- Weather hazard detection and forecast
- Integration of atmospherical multi platform data
- Early warning system
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