Skip to main content

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

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 and/or 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.

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

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

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 re-use 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

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.

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
DOI: 10.5194/acp-21-16727-2021

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
DOI: 10.5194/nhess-21-3367-2021