DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Data assimilation and nowcasting for air traffic management purposes

Mazzarella, Vincenzo and Milelli, Massimo and Lagasio, Martina and Poletti, L. and Biondi, Riccardo and Realini, Eugenio and Federico, Stefano and Torca-sio, R.C. and Kerschbaum, Markus and Llasat, Maria del Carmen and Rigo, Tomeu and Esbri, Laura and Temme, Marco-Michael and Gluchshenko, Olga and Temme, Annette and Nöhren, Lennard and Parodi, Antonio (2022) Data assimilation and nowcasting for air traffic management purposes. In: General Assembly 2022 of the European Geosciences Union (EGU) (2823). General Assembly 2022 of the European Geosciences Union (EGU), 2022-05-23 - 2022-05-27, Vienna, Austria. doi: 10.5194/egusphere-egu22-2823.

Full text not available from this repository.


One of the main challenges for meteorologists is to improve the prediction of severe weather events that develop on small spatial and temporal scales and that have important repercussions in air traffic management activities (ATM). In this regard, the H2020 project "Satellite-borne and IN-situ Observations to Predict The Initiation of Convection for ATM" (SINOPTICA) aims to demonstrate that numerical weather prediction with high spatial and temporal resolution, benefiting from the assimilation of non-conventional observations, GNSS, weather radar, and lightning data, could improve the prediction of severe weather events for the benefit of air traffic control (ATC) and air traffic management (ATM) in the vicinity of airports. In addition to the numerical simulations, a nowcasting technique called PHAse- diffusion model for STochastic nowcasting (PHAST) has been developed to predict the highly localized convective events triggering in the vicinity of airports and to further support the ATM activities. As part of the project, three severe weather events were identified on the Italian territory which caused the closure of some airport, huge delays on arrivals and departures and numerous diversions. The data of the numerical simulations, carried out with the Weather Research and Forecasting (WRF) and nowcasting technique, performed with PHAST, were integrated into the Arrival Manager 4D-CARMA (4-Dimensional Cooperative Arrival Manager), an adaptive air traffic sequencing and management system for controllers. As part of the project, 4D-CARMA was extended to now generate and optimize 4D trajectories avoiding areas affected by adverse phenomena with the objectives of increasing flight safety and predictability and, under certain circumstances, reducing controllers' and pilots' workload. This work presents the first outcomes of the SINOPTICA project, demonstrating that it is possible to improve the prediction of the above-mentioned events in line with expectations and ATM needs.

Item URL in elib:https://elib.dlr.de/185459/
Document Type:Conference or Workshop Item (Speech)
Title:Data assimilation and nowcasting for air traffic management purposes
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Mazzarella, VincenzoCIMA Research Foundation, Savona, ItalyUNSPECIFIEDUNSPECIFIED
Milelli, MassimoCIMA Research Foundation, Savona, ItalyUNSPECIFIEDUNSPECIFIED
Lagasio, MartinaCIMA Research Foundation, Savona, ItalyUNSPECIFIEDUNSPECIFIED
Biondi, RiccardoGeosciences Department, University of Padua, Padua, ItalyUNSPECIFIEDUNSPECIFIED
Federico, StefanoIstituto di Scienze dell’Atmosfera e del Clima - C.N.R. (ISAC)UNSPECIFIEDUNSPECIFIED
Kerschbaum, MarkusAustro Control GmbH, Wien, ÖsterreichUNSPECIFIEDUNSPECIFIED
Llasat, Maria del CarmenDepartment of Applied Physics, Universitat de Barcelona, SpainUNSPECIFIEDUNSPECIFIED
Rigo, TomeuMeteorological Service of Catalonia, SpainUNSPECIFIEDUNSPECIFIED
Esbri, LauraDepartment of Applied Physics, Universitat de Barcelona, SpainUNSPECIFIEDUNSPECIFIED
Temme, Marco-MichaelUNSPECIFIEDhttps://orcid.org/0000-0003-2446-5489UNSPECIFIED
Gluchshenko, OlgaUNSPECIFIEDhttps://orcid.org/0000-0003-2189-1319UNSPECIFIED
Temme, AnnetteUNSPECIFIEDhttps://orcid.org/0000-0001-8245-3473UNSPECIFIED
Parodi, AntonioCIMA Research Foundation, Savona, ItalyUNSPECIFIEDUNSPECIFIED
Date:23 May 2022
Journal or Publication Title:General Assembly 2022 of the European Geosciences Union (EGU)
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:forecast; MET; ATC; NWP model; AMAN; trajectory
Event Title:General Assembly 2022 of the European Geosciences Union (EGU)
Event Location:Vienna, Austria
Event Type:international Conference
Event Start Date:23 May 2022
Event End Date:27 May 2022
Organizer:European Geosciences Union (EGU)
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
Institute of Flight Guidance > Pilot Assistance
Deposited By: Temme, Dr.rer.nat. Marco-Michael
Deposited On:25 Nov 2022 08:17
Last Modified:24 Apr 2024 20:47

Repository Staff Only: item control page

Help & Contact
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.