CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.
Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .
Livrables
This deliverable will report the exploration of using measurements of high clouds and contrails within the ICON global forecasting system to improve the representation of humidity and the prediction of contrails.Linked to T2.1.
Concept of an ice cloud microphysics module of intermediate complexity for application in numerical weather prediction (s’ouvre dans une nouvelle fenêtre)The deliverable will describe an ice cloud parameterisation for a weather model, in this case the ICON weather model, that allows: 1) ice supersaturation in clear sky, 2) that initiates cirrus formation only at certain degrees of supersaturation (temperature dependent, homogeneous nucleation), 3) that does consume the excess water vapour (i.e. the fraction above saturation) not instantaneously but following its thermodynamic force (that is, the crystal growth rate is proportional to the degree of supersaturation); this allows to have supersaturation within clouds as observed, and4) point 3 above works in the same way at subsaturation, i.e. the rate of crystal sublimation is proportional to the degree of subsaturation, such that cirrus clouds can survive for a while at subsaturated conditions, as observed.The deliverable will also report on tests of this new parameterisation within offline-runs of ICON for several situations.Linked to T2.3.
Description on training and testing datasets (s’ouvre dans une nouvelle fenêtre)This is a report containing detailed information about datasets sources formats and corresponding preprocessing will be produced highlighting in particular the underlying labeling methodology where appropriate This will serve as a basis to avoid biases in AI algorithms and will also ensure consistent use of data across the several project WPsLinked to T31 T13 T11 T14
The humidity analyses and the degree of supersaturation (s’ouvre dans une nouvelle fenêtre)This deliverable will include the results of humidity analysis and the calculation of the degree of supersaturations. The aim is to identify humidity variability associated to different measurements. Such comparison is essential for AI algorithm training in WP3.Linked to T1.1 and T1.4.
The development and calculation of robust algorithmic cost functions for climate change of H2O, NOx, and contrail cirrus (s’ouvre dans une nouvelle fenêtre)This deliverable will document the development and calculation of robust algorithmic cost functions (ACFs) for climate change of non-CO2 effects, e.g., H2O, NOx, and contrail cirrus. The developed ACFs will serve the basis for the further assessment of the new policy driven flight planning.Linked to T5.1 and T5.2.
Algorithmic specification of contrails detection AI algorithms (s’ouvre dans une nouvelle fenêtre)This report documents details of the mathematical formalization of AI algorithms, their architectures and their properties will be produced. This document will articulate the proposed approaches with state-of-the-art algorithms already proven successful in other relevant contexts.Linked to T3.1 and T3.2.
Upgraded instrumentation and Lidar inversion software (s’ouvre dans une nouvelle fenêtre)This deliverables will report the upgrades of instrumentation, e.g., Lidar or flash sondes, for systematic operations. The optimized instrumentation is important for collecting water vapour/ice cloud information to be used in analysing the humidity and degree of supersatuaration in D1.2. Linked to T1.1.
The project website will be one of the key channels for BeCoM to disseminate the project activities and research findings
Publications
Auteurs:
Florian Mandija; Philippe Keckhut; Dunya Alraddawi; Sergey Khaykin; Alain Sarkissian
Publié dans:
MDPI Atmosphere, 2024, ISSN 2073-4433
Éditeur:
Rotoweb Cantelli
DOI:
10.20944/PREPRINTS202409.0639.V1
Auteurs:
Dunya Alraddawi; Philippe Keckhut; Florian Mandija; Alain Sarkissian; Christophe Pietras; Jean-Charles Dupont; Antoine Farah; Alain Hauchecorne; Jacques Porteneuve
Publié dans:
MDPI Atmosphere, Numéro 16 (3), pp.351, 2025, ISSN 2073-4433
Éditeur:
MDPI
DOI:
10.3390/ATMOS16030351
Auteurs:
Dario Sperber; Klaus Gierens
Publié dans:
Atmos. Chem. Phys., Numéro 23, 2023, ISSN 1680-7324
Éditeur:
Copernicus
DOI:
10.5194/acp-23-15609-2023
Auteurs:
Sperber, Dario Pascal; Gierens, Klaus Martin
Publié dans:
Atmospheric Chemistry and Physics, 2023
DOI:
10.5194/ACP-23-15609-2023
Auteurs:
Florian Mandija, Dunya Alraddawi, Philippe Keckhut, Sergey Khaykin
Publié dans:
2025
Éditeur:
Copernicus GmbH
DOI:
10.5194/EGUSPHERE-EGU24-11218
Auteurs:
Diarra, Sidy; Baray, Jean-Luc; Montoux, Nadège; Fréville, Patrick; Peyrin, Fréderic; Cacault, Philippe; Keckhut, Philippe
Publié dans:
Crossref, 2025
Éditeur:
EGU General Assembly 2024
DOI:
10.5194/EGUSPHERE-EGU24-10040
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