Skip to main content
European Commission logo print header

multi-hAzard monitoring and earLy wARning systeM

Deliverables

Extreme weather patterns peport and risks map.

This Deliverable will contain: - a cover page with the title of the deliverable, deliverable number, project information (acronym, grant number, call, topic), consortium coordinator information, edition date and number; - authoring and approval data sheet, with the names of the authors, reviewers internal to the project, approval by PC, Task Leader and WP Leader, eventual rejection by any representative of the beneficiaries, and document history. - the abstract of ALARM project. - An executive summary of the Deliverable, highlighting the contributions, main results and conclusions, and some insight on how this deliverable will be feeding other tasks within the project. - An introduction to the topic, including the motivation and goals of the deliverable. - the methodological approach to the conduction of Task 4.1 (Extremes and climate). - the results derived from these tasks. - Concluding remarks

Final information exchange requirements for the ALARM information dissemination.

This Deliverable will contain a cover page with the title of the deliverable deliverable number project information acronym grant number call topic consortium coordinator information edition date and number authoring and approval data sheet with the names of the authors reviewers internal to the project approval by PC Task Leader and WP Leader eventual rejection by any representative of the beneficiaries and document history the abstract of ALARM project An executive summary of the Deliverable highlighting the contributions main results and conclusions and some insight on how this deliverable will be feeding other tasks within the project An introduction to the topic including the motivation and goals of the deliverable the methodological approach to the conduction of Task 63 Draft requirements for ALARM information dissemination channels eg internet SWIM and Task 64 Final requirements for ALARM information dissemination including the visualisation demo the results derived from these tasks Concluding remarks

Report on Algorithms for environmental (climate) hot spots, including MET data requirements for implementation

This Deliverable will contain a cover page with the title of the deliverable deliverable number project information acronym grant number call topic consortium coordinator information edition date and number authoring and approval data sheet with the names of the authors reviewers internal to the project approval by PC Task Leader and WP Leader eventual rejection by any representative of the beneficiaries and document history the abstract of ALARM project An executive summary of the Deliverable highlighting the contributions main results and conclusions and some insight on how this deliverable will be feeding other tasks within the project An introduction to the topic including the motivation and goals of the deliverable the methodological approach to the conduction of Task 53 MET data requirements the results derived from these tasks Concluding remarks

Presentation of ALARM tailored products.

This Deliverable will contain a cover page with the title of the deliverable deliverable number project information acronym grant number call topic consortium coordinator information edition date and number authoring and approval data sheet with the names of the authors reviewers internal to the project approval by PC Task Leader and WP Leader eventual rejection by any representative of the beneficiaries and document history the abstract of ALARM project An executive summary of the Deliverable highlighting the contributions main results and conclusions and some insight on how this deliverable will be feeding other tasks within the project An introduction to the topic including the motivation and goals of the deliverable the methodological approach to the conduction of Task 22 Implementation of data platform of ALARM EWS Task 23 Architecture of ALARM EWS and Task 24 Implementation of risk area and ATM products the results derived from these tasks Concluding remarks

State-of-the-art of MET and natural hazards information distribution and identification of appropriate distribution flows for ALARM modules

This Deliverable will contain a cover page with the title of the deliverable deliverable number project information acronym grant number call topic consortium coordinator information edition date and number authoring and approval data sheet with the names of the authors reviewers internal to the project approval by PC Task Leader and WP Leader eventual rejection by any representative of the beneficiaries and document history the abstract of ALARM project An executive summary of the Deliverable highlighting the contributions main results and conclusions and some insight on how this deliverable will be feeding other tasks within the project An introduction to the topic including the motivation and goals of the deliverable the methodological approach to the conduction of Task 61 Identification of appropriate MET information provision flows for ALARM modules and Task 62 Stakeholder involvement definition of provision flows requirements the results derived from these tasks Concluding remarks

Project Management Plan (communication, dissemination, exploitation and data management)

The Project Management Plan PMP of the ALARM project is intended to guide the implementation and control of the project The PMP contains a complete description of the organization and management of the project In particular it describes the roles and responsibilities administrative and coordination activities risk and issue management The PMP also describes the communication dissemination and exploitation plans the communication elements and dissemination activities are described in detail and the process for publishing andor protecting the project results is defined The PMP is primarily intended for the SESAR Joint Undertaking and the consortium members involved in the project as it provides the basis for monitoring the progress of the project

Report on evaluation of climate impacts

This Deliverable will contain a cover page with the title of the deliverable deliverable number project information acronym grant number call topic consortium coordinator information edition date and number authoring and approval data sheet with the names of the authors reviewers internal to the project approval by PC Task Leader and WP Leader eventual rejection by any representative of the beneficiaries and document history the abstract of ALARM project An executive summary of the Deliverable highlighting the contributions main results and conclusions and some insight on how this deliverable will be feeding other tasks within the project An introduction to the topic including the motivation and goals of the deliverable the methodological approach to the conduction of Task 51 Evaluation of climate impacts and Task 52 Algorithms for environmental climate hotspots the results derived from these tasks Concluding remarks

Final project report

Technical reporting is coordinated by the PC The individual task reports are prepared by the WP leaders but the coordinator has the final responsibility for editing according to a standard layout and for distribution In summary the PC is responsible for providing the EC with a synthesis of the main achievements and conclusions of the project

Description of ALARM data platform.

This Deliverable will contain a cover page with the title of the deliverable deliverable number project information acronym grant number call topic consortium coordinator information edition date and number authoring and approval data sheet with the names of the authors reviewers internal to the project approval by PC Task Leader and WP Leader eventual rejection by any representative of the beneficiaries and document history the abstract of ALARM project An executive summary of the Deliverable highlighting the contributions main results and conclusions and some insight on how this deliverable will be feeding other tasks within the project An introduction to the topic including the motivation and goals of the deliverable the methodological approach to the conduction of Task 21 Data platform of ALARM EWS State of the art of EWS dedicated to ATM the results derived from these tasks Concluding remarks

Severe weather nowcasting and overshooting: algorithms and in-situ experiments

This Deliverable will contain a cover page with the title of the deliverable deliverable number project information acronym grant number call topic consortium coordinator information edition date and number authoring and approval data sheet with the names of the authors reviewers internal to the project approval by PC Task Leader and WP Leader eventual rejection by any representative of the beneficiaries and document history the abstract of ALARM project An executive summary of the Deliverable highlighting the contributions main results and conclusions and some insight on how this deliverable will be feeding other tasks within the project An introduction to the topic including the motivation and goals of the deliverable the methodological approach to the conduction of Task 42 Convection nowcasting Task 43 Overshooting and Task 44 Airport campaign the results derived from these tasks Concluding remarks

Hincasting methods for SO2 dispersion models

This Deliverable will contain: - a cover page with the title of the deliverable, deliverable number, project information (acronym, grant number, call, topic), consortium coordinator information, edition date and number; - authoring and approval data sheet, with the names of the authors, reviewers internal to the project, approval by PC, Task Leader and WP Leader, eventual rejection by any representative of the beneficiaries, and document history. - the abstract of ALARM project. - An executive summary of the Deliverable, highlighting the contributions, main results and conclusions, and some insight on how this deliverable will be feeding other tasks within the project. - An introduction to the topic, including the motivation and goals of the deliverable. - the methodological approach to the conduction of Task 3.1 (Identify observational training dataset) and Task 3.2 (Access model (hind/forecast) data). - the results derived from these tasks. - Concluding remarks

Demo of SO2 dispersion models for one airport

This Deliverable will contain a cover page with the title of the deliverable deliverable number project information acronym grant number call topic consortium coordinator information edition date and number authoring and approval data sheet with the names of the authors reviewers internal to the project approval by PC Task Leader and WP Leader eventual rejection by any representative of the beneficiaries and document history the abstract of ALARM project An executive summary of the Deliverable highlighting the contributions main results and conclusions and some insight on how this deliverable will be feeding other tasks within the project An introduction to the topic including the motivation and goals of the deliverable the methodological approach to the conduction of Task 33 Bias correction development and application the results derived from these tasks Concluding remarks

ALARM press release 3

In this Deliverable we will provide information about a press release on the final results of the project to be published by the coordinators institutional communication services It will include the goals and target audience the content the media in which has been published and metrics of its impact

Proceedings of ALARM Workshop

This Deliverable will contain a cover page with the title of the deliverable deliverable number project information acronym grant number call topic consortium coordinator information edition date and number authoring and approval data sheet with the names of the authors reviewers internal to the project approval by PC Task Leaderand WP Leader eventual rejection by any representative of the beneficiaries and document history the abstract of ALARM project An executive summary of the Deliverable highlighting information about the workshop including venue attendees institutions number and type of presentations etc A brief summary of each of the contributions to the workshop Concluding remarks

ALARM press release 1

In this Deliverable, we will provide information about a press release on the initiation of the project to be published by the coordinator's institutional communication services. It will include the goals and target audience, the content, the media in which has been published, and metrics of its impact.

Data Management Plan

The objective of this Deliverable is to describe the Data Management Plan DMP of ALARM Project which is included in the pilot under Horizon 2020 called the Open Research Data Pilot ORD pilot The Deliverable will include among others a data summary including the purpose of data a description of types and formats of input and output data the origin accessibility and approximate size of the data the reuse of data and their utility for different target audiences ALARM will follow FAIR data principles and thus the deliverable will elaborate on a set of guiding principles to make data Findable Accessible Interoperable and Reusable Allocation of resources to comply with FAIR principles and the data management strategy of ALARM will be also provided within the document

Publications

A sulfur dioxide Covariance-Based Retrieval Algorithm (COBRA): application to TROPOMI reveals new emission sources

Author(s): Nicolas Theys, Vitali Fioletov, Can Li, Isabelle De Smedt, Christophe Lerot, Chris McLinden, Nickolay Krotkov, Debora Griffin, Lieven Clarisse, Pascal Hedelt, Diego Loyola, Thomas Wagner, Vinod Kumar, Antje Innes, Roberto Ribas, François Hendrick, Jonas Vlietinck, Hugues Brenot, and Michel Van Roozendael
Published in: Atmos. Chem. Phys., Issue 21, 2021, Page(s) 16727–16744, ISSN 1680-7316
Publisher: European Geophysical Society
DOI: 10.5194/acp-21-16727-2021

Improved retrieval of SO2 plume height from TROPOMI using an iterative Covariance-Based Retrieval Algorithm,

Author(s): Theys, N., Lerot, C., Brenot, H., van Gent, J., De Smedt, I., Clarisse, L., Burton, M., Varnam, M., and Van Roozendael, M.
Published in: Atmos. Meas. Tech, 2021, ISSN 1867-8548
Publisher: European Geosciences Union
DOI: 10.5194/amt-2022-148

Nowcasting extreme rain and extreme wind speed with machine learning techniques applied to different input datasets,

Author(s): Sandy Chkeir, Aikaterini Anesiadou, Alessandra Mascitelli, Riccardo Biondi.
Published in: Atmospheric Research, Issue 282, 2022, ISSN 0169-8095
Publisher: Elsevier BV
DOI: 10.1016/j.atmosres.2022.106548

EUNADICS-AV early warning system dedicated to supporting aviation in the case of a crisis from natural airborne hazards and radionuclide clouds

Author(s): Hugues Brenot, Nicolas Theys, Lieven Clarisse, Jeroen van Gent, Daniel R. Hurtmans, Sophie Vandenbussche, Nikolaos Papagiannopoulos, Lucia Mona, Timo Virtanen, Andreas Uppstu, Mikhail Sofiev, Luca Bugliaro, Margarita Vázquez-Navarro, Pascal Hedelt, Michelle Maree Parks, Sara Barsotti, Mauro Coltelli, William Moreland, Simona Scollo, Giuseppe Salerno, Delia Arnold-Arias, Marcus Hirtl, Tuomas Pelto
Published in: Nat. Hazards Earth Syst. Sci., Issue Vol. 21, Issue 11, 2021, Page(s) 3367–3405, ISSN 1561-8633
Publisher: Copemicus Gesellschaften
DOI: 10.5194/nhess-21-3367-2021

A python library for computing individual and merged non-CO2 algorithmic climate change functions: CLIMaCCF V1.0

Author(s): Simone Dietmüller, Sigrun Matthes, Katrin Dahlmann, Hiroshi Yamashita, Abolfazl Simorgh, Manuel Soler, Florian Linke, Benjamin Lührs, Maximilian Mendiguchia Meuser, Christian Weder, Volker Grewe, Feijia Yin, and Federica Castino
Published in: Geoscientific Model Development, 2023, ISSN 1991-9603
Publisher: EGU
DOI: 10.5194/gmd-16-4405-2023

Multi-Sensor Data Analysis of an Intense Weather Event: The July 2021 Lake Como Case Study.

Author(s): Mascitelli A, Petracca M, Puca S, Realini E, Gatti A, Biondi R, Anesiadou A, Brocca L, Vulpiani G, Torcasio RC, Federico S, Oriente A, Dietrich S
Published in: Water, Issue 14(23), 2022, ISSN 2073-4441
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/w14233916

Investigation on flight level contamination using volcanic SO2 plume and cloud top height satellite products

Author(s): Sievers, K., Brenot, H., Theys, N., and Kessinger, C.
Published in: EGU General Assembly 2021, 2021
Publisher: EGU
DOI: 10.5194/egusphere-egu21-10309

Multi-station Multivariate Multi-step Convection Nowcasting with Deep Neural Networks

Author(s): Chkeir, S., Anesiadou, A., and Biondi, R.
Published in: EGU General Assembly 2022, 2022
Publisher: EGU
DOI: 10.5194/egusphere-egu22-9357

Early warning system of natural hazards and decrease of climate impact from aviation

Author(s): Hugues Brenot, Nicolas Theys, Erwin de Donder, Jeroen Van Gent, Michel Van Roozendael, Manuel Soler, Javier Garcia-Heras, Alejandro Cervantes, Abolfazl Simorgh, Virginia Villaplana, Sigrun Matthes, Simone Dietmüller, Volker Grewe, Riccardo Biondi, Sandy Chkeir, Katerina Anesiadou, Tim Winter, Adam Durant, Tanja Bolić, Francesco Urdih, Lieven Clarisse, Pierre de Buyl, Nicolas Clerbaux and Klaus S
Published in: SESAR Innovation Days 2022, 2022
Publisher: SESAR JU3
DOI: 10.5281/zenodo.8042908

Spatio-temporal nowcasting of local severe weather events with deep neural networks

Author(s): In the last decades, the intensity and frequency of extreme weather events have increased in Europe. The climate change, through its impact on the atmospheric processes, is expected to lead to further increase of such severe phenomena which also affect the air traffic activities. Therefore, a continuous monitoring and understanding of convective and pre- convective environment is highly demanded a
Published in: 17th Plinius Conference on Mediterranean Risks, 2022
Publisher: EGU
DOI: 10.5194/egusphere-plinius17-12

Decrease of anthropogenic emission from aviation and detection of natural hazards with potential application in geosciences using satellite sensors, ground-based networks and model forecasts in the context of the SACS/ALARM early warning system

Author(s): Brenot, H., Theys, N., de Donder, E., Clarisse, L., de Buyl, P., Clerbaux, N., Dietmüller, S., Matthes, S., Grewe, V., Chkeir, S., Mascitell, A., Anesiadou, A., Biondi, R., Mahorčič, I., Bolić, T., Bhattacharya, R., Winter, T., Durant, A., Van Roozendael, M., and Soler, M
Published in: EGU General Assembly 2022, 2022
Publisher: EGU
DOI: 10.5194/egusphere-egu22-8948

Multivariate Multi-Step Convection Nowcasting with Deep Neural Networks: The Novara Case Study

Author(s): R. Biondi, S. Chkeir, A. Anesiadou, A. Mascitelli, E. Realini, L. Nisi, C. Cimarelli,
Published in: IEEE International Geoscience and Remote Sensing Symposium, 2022
Publisher: IEEE
DOI: 10.1109/igarss46834.2022.9883665

ALARM Project -multi-hAzard monitoring andearLy wARning systeM

Author(s): Soler M., Brenot H., Biondi R., Bannister D., Grewe V., Bolic T. and García-Heras J.
Published in: EGU General Assembly 2021., 2021
Publisher: EGU
DOI: 10.5194/egusphere-egu21-7664

Searching for OpenAIRE data...

There was an error trying to search data from OpenAIRE

No results available