Resultado final Documents, reports (12) 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 Websites, patent fillings, videos etc. (3) 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. Open Research Data Pilot (1) 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 Publicaciones Peer reviewed articles (6) A sulfur dioxide Covariance-Based Retrieval Algorithm (COBRA): application to TROPOMI reveals new emission sources Autores: 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 Publicado en: Atmos. Chem. Phys., Issue 21, 2021, Page(s) 16727–16744, ISSN 1680-7316 Editor: 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, Autores: Theys, N., Lerot, C., Brenot, H., van Gent, J., De Smedt, I., Clarisse, L., Burton, M., Varnam, M., and Van Roozendael, M. Publicado en: Atmos. Meas. Tech, 2021, ISSN 1867-8548 Editor: 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, Autores: Sandy Chkeir, Aikaterini Anesiadou, Alessandra Mascitelli, Riccardo Biondi. Publicado en: Atmospheric Research, Issue 282, 2022, ISSN 0169-8095 Editor: 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 Autores: 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 Publicado en: Nat. Hazards Earth Syst. Sci., Issue Vol. 21, Issue 11, 2021, Page(s) 3367–3405, ISSN 1561-8633 Editor: 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 Autores: 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 Publicado en: Geoscientific Model Development, 2023, ISSN 1991-9603 Editor: EGU DOI: 10.5194/gmd-16-4405-2023 Multi-Sensor Data Analysis of an Intense Weather Event: The July 2021 Lake Como Case Study. Autores: 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 Publicado en: Water, Issue 14(23), 2022, ISSN 2073-4441 Editor: Multidisciplinary Digital Publishing Institute (MDPI) DOI: 10.3390/w14233916 Conference proceedings (7) Investigation on flight level contamination using volcanic SO2 plume and cloud top height satellite products Autores: Sievers, K., Brenot, H., Theys, N., and Kessinger, C. Publicado en: EGU General Assembly 2021, 2021 Editor: EGU DOI: 10.5194/egusphere-egu21-10309 Multi-station Multivariate Multi-step Convection Nowcasting with Deep Neural Networks Autores: Chkeir, S., Anesiadou, A., and Biondi, R. Publicado en: EGU General Assembly 2022, 2022 Editor: EGU DOI: 10.5194/egusphere-egu22-9357 Early warning system of natural hazards and decrease of climate impact from aviation Autores: 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 Publicado en: SESAR Innovation Days 2022, 2022 Editor: SESAR JU3 DOI: 10.5281/zenodo.8042908 Spatio-temporal nowcasting of local severe weather events with deep neural networks Autores: 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 Publicado en: 17th Plinius Conference on Mediterranean Risks, 2022 Editor: 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 Autores: 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 Publicado en: EGU General Assembly 2022, 2022 Editor: EGU DOI: 10.5194/egusphere-egu22-8948 Multivariate Multi-Step Convection Nowcasting with Deep Neural Networks: The Novara Case Study Autores: R. Biondi, S. Chkeir, A. Anesiadou, A. Mascitelli, E. Realini, L. Nisi, C. Cimarelli, Publicado en: IEEE International Geoscience and Remote Sensing Symposium, 2022 Editor: IEEE DOI: 10.1109/igarss46834.2022.9883665 ALARM Project -multi-hAzard monitoring andearLy wARning systeM Autores: Soler M., Brenot H., Biondi R., Bannister D., Grewe V., Bolic T. and García-Heras J. Publicado en: EGU General Assembly 2021., 2021 Editor: EGU DOI: 10.5194/egusphere-egu21-7664 Buscando datos de OpenAIRE... Se ha producido un error en la búsqueda de datos de OpenAIRE No hay resultados disponibles
