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Application of Severe Weather Nowcasting to Case Studies in Air Traffic Management

Esbri, Laura and Rigo, Tomeu and Llasat, Maria del Carmen and Biondi, Riccardo and Federico, Stefano and Gluchshenko, Olga and Kerschbaum, Markus and Lagasio, Martina and Mazzarella, Vincenzo and Milelli, Massimo and Parodi, Antonio and Realini, Eugenio and Temme, Marco (2023) Application of Severe Weather Nowcasting to Case Studies in Air Traffic Management. Atmosphere, 14(8) (1238), pp. 1-20. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/atmos14081238. ISSN 2073-4433.

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Official URL: https://www.mdpi.com/2073-4433/14/8/1238


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.

Item URL in elib:https://elib.dlr.de/199594/
Document Type:Article
Title:Application of Severe Weather Nowcasting to Case Studies in Air Traffic Management
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Esbri, LauraDepartment of Applied Physics, Universitat de Barcelona, SpainUNSPECIFIEDUNSPECIFIED
Rigo, TomeuMeteorological Service of Catalonia, SpainUNSPECIFIEDUNSPECIFIED
Llasat, Maria del CarmenDepartment of Applied Physics, Universitat de Barcelona, SpainUNSPECIFIEDUNSPECIFIED
Biondi, RiccardoGeosciences Department, University of Padua, Padua, ItalyUNSPECIFIEDUNSPECIFIED
Federico, StefanoIstituto di Scienze dell’Atmosfera e del Clima - C.N.R. (ISAC)UNSPECIFIEDUNSPECIFIED
Gluchshenko, OlgaUNSPECIFIEDhttps://orcid.org/0000-0003-2189-1319147327247
Kerschbaum, MarkusAustro Control Oesterreichische Gesellschaft für Zivilluftfahrt Mbh (ACG)UNSPECIFIEDUNSPECIFIED
Lagasio, MartinaCIMA Research Foundation, Savona, ItalyUNSPECIFIEDUNSPECIFIED
Mazzarella, VincenzoCIMA Research Foundation, Savona, ItalyUNSPECIFIEDUNSPECIFIED
Milelli, MassimoCIMA Research Foundation, Savona, ItalyUNSPECIFIEDUNSPECIFIED
Parodi, AntonioCIMA Research Foundation, Savona, ItalyUNSPECIFIEDUNSPECIFIED
Temme, MarcoUNSPECIFIEDhttps://orcid.org/0000-0003-2446-5489UNSPECIFIED
Date:1 August 2023
Journal or Publication Title:Atmosphere
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
Page Range:pp. 1-20
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Series Name:Atmosphere 2023
Keywords:weather radar; storm; nowcasting; adverse weather; convective cells; air traffic control; air traffic controller support; severe weather
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Air Transportation and Impact
DLR - Research area:Aeronautics
DLR - Program:L AI - Air Transportation and Impact
DLR - Research theme (Project):L - Climate, Weather and Environment
Location: Braunschweig
Institutes and Institutions:Institute of Flight Guidance > Controller Assistance
Deposited By: Gluchshenko, Olga
Deposited On:24 Nov 2023 08:23
Last Modified:29 Nov 2023 15:09

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