Novel Thunderstorm Alert System (NOTHAS)
- Author(s)
- Vlado Spiridonov, Mladjen Curic, Nedim Sladic, Boro Jakimovski
- Abstract
A “Novel Thunderstorm Alert System” (NOTHAS) has been developed and extensively tested for forecast and warnings of midlatitude and tropical convective events. The design of the system showed some potential advantages compared to earlier alert systems, mainly in reducing uncertainties in predictions by taking the given maximum hourly local-scale signal. It represents a dynamic tool which allows the use of the probability concept of multivariate distribution and integrating it into general function by taking all convective parameters. It utilizes the latest developed microphysical parameterization scheme using a scale and aerosol awareness convective scheme and the sharpest criteria for mid-latitude storms. NOTHAS shows consistency and some kind of flexibility in post-processing applications, regardless of different parameterizations used in the ensemble or deterministic forecasts. The scientific verification shows a high level of accuracy in all significant scores which indicates that severe weather
outlooks produced by NOTHAS for several hours ahead are in good alignment with observed thunderstorm activity. This novel tool shows a good performance which has sufficient merit for further additional testing and system evaluation of different severe mid-latitude and tropical storms, tropical cyclones and other severe weather cases across regions.- Organisation(s)
- Department of Meteorology and Geophysics
- External organisation(s)
- University of Belgrade, International University of Sarajevo, Saints Cyril and Methodius University of Skopje
- Journal
- Asia-Pacific Journal of Atmospheric Sciences
- Volume
- 57
- Pages
- 479-498
- No. of pages
- 20
- ISSN
- 1976-7633
- DOI
- https://doi.org/10.1007/s13143-020-00210-5
- Publication date
- 08-2021
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 105204 Climatology, 105206 Meteorology
- Keywords
- ASJC Scopus subject areas
- Atmospheric Science
- Portal url
- https://ucrisportal.univie.ac.at/en/publications/23fcfaad-0d5e-4690-ba0f-5424d87a9d3e