Application of Severe Weather Nowcasting to Case Studies in Air Traffic Management Article Swipe
Laura Esbrí
,
Tomeu Rigo
,
María Carmen Llasat
,
Riccardo Biondi
,
Stefano Federico
,
Olga Gluchshenko
,
Markus Kerschbaum
,
Martina Lagasio
,
Vincenzo Mazzarella
,
Massimo Milelli
,
Antonio Parodi
,
Eugenio Realini
,
Marco-Michael Temme
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/atmos14081238
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/atmos14081238
Effective and time-efficient aircraft assistance and guidance in severe weather environments remains a challenge for air traffic control. Air navigation service providers around the globe could greatly benefit from specific and adapted meteorological information for the controller position, helping to reduce the increased workload induced by adverse weather. The present work proposes a radar-based nowcasting algorithm providing compact meteorological information on convective weather near airports for introduction into the algorithms intended to assist in air-traffic management. The use of vertically integrated liquid density enables extremely rapid identification and short-term prediction of convective regions that should not be traversed by aircraft, which is an essential requirement for use in tactical controller support systems. The proposed tracking and nowcasting method facilitates the anticipation of the meteorological situation around an airport. Nowcasts of centroid locations of various approaching thunderstorms were compared with corresponding radar data, and centroid distances between nowcasted and observed storms were computed. The results were analyzed with Method for the Object-Based Evaluation from the Model Evaluation tools software (MET-10.0.1, Developmental Testbed Center, Boulder, CO, US) and later integrated into an assistance arrival manager software, showing the potential of this approach for automatic air traffic assistance in adverse weather scenarios.
Related Topics
Concepts
Nowcasting
Air traffic control
Air traffic management
Convective storm detection
Thunderstorm
Weather radar
Computer science
Meteorology
Radar
Controller (irrigation)
Air traffic controller
Weather forecasting
Environmental science
Severe weather
Real-time computing
Storm
Engineering
Geography
Telecommunications
Aerospace engineering
Biology
Agronomy
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/atmos14081238
- https://www.mdpi.com/2073-4433/14/8/1238/pdf?version=1690869568
- OA Status
- gold
- Cited By
- 1
- References
- 35
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4385461822
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4385461822Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/atmos14081238Digital Object Identifier
- Title
-
Application of Severe Weather Nowcasting to Case Studies in Air Traffic ManagementWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-08-01Full publication date if available
- Authors
-
Laura Esbrí, Tomeu Rigo, María Carmen Llasat, Riccardo Biondi, Stefano Federico, Olga Gluchshenko, Markus Kerschbaum, Martina Lagasio, Vincenzo Mazzarella, Massimo Milelli, Antonio Parodi, Eugenio Realini, Marco-Michael TemmeList of authors in order
- Landing page
-
https://doi.org/10.3390/atmos14081238Publisher landing page
- PDF URL
-
https://www.mdpi.com/2073-4433/14/8/1238/pdf?version=1690869568Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2073-4433/14/8/1238/pdf?version=1690869568Direct OA link when available
- Concepts
-
Nowcasting, Air traffic control, Air traffic management, Convective storm detection, Thunderstorm, Weather radar, Computer science, Meteorology, Radar, Controller (irrigation), Air traffic controller, Weather forecasting, Environmental science, Severe weather, Real-time computing, Storm, Engineering, Geography, Telecommunications, Aerospace engineering, Biology, AgronomyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1Per-year citation counts (last 5 years)
- References (count)
-
35Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| institutions_distinct_count | 13 |
| corresponding_institution_ids | https://openalex.org/I4210108930, https://openalex.org/I71999127 |
| citation_normalized_percentile.value | 0.55244024 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |