Artificial Neural Networks for the Prediction of Contrails and Aviation Induced Cloudiness

Informazioni relative al progetto

E-CONTRAIL

ID dell’accordo di sovvenzione: 101114795

DOI

10.3030/101114795

Data della firma CE 5 Giugno 2023

Data di avvio 1 Giugno 2023

Data di completamento 30 Novembre 2025

Finanziato da

• Climate, Energy and Mobility

Costo totale

€ 997 500,00

Contributo UE

€ 997 500,00

Coordinato da

UNIVERSIDAD CARLOS III DE MADRID
Spain

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (15)

Contrail tracking and aviation-induced cloudiness algorithm (M10).

D1.2Control tracking and aviation-induced cloudiness algorithm

Report on all WP2 activities, including transition to MTG and EarthCARE evaluation

D2.4 Report on all WP2 activities, including transition to MTG and EarthCARE evaluation

Deep-learning-based temporal predictions. Technical report/article showing the performance of the models for temporal predictions

D3.2Deep-learning-based temporal predictions. Technical report/article showing the performance of the models for temporal predictions

Project Management Plan (Intermediate Version))

D5.1 - Project Management Plan (Intermediate Version)

Exploratory research plan (ERP)

D5.3Exploratory research plan (ERP)

Dissemination Exploitation and Communications Plan (Intermediate)

D6.1Dissemination Exploitation and Communications Plan (Intermediate)

Project management plan

D5.1Project management plan

Deep-learning-based spatial predictions. Technical report/article showing the performance of the models for spatial predictions.

D3.3Deep-learning-based spatial predictions. Technical report/article showing the performance of the models for spatial predictions.

Report on the cirrus cloud properties retrieval with MSG.

D2.1Report on the cirrus cloud properties retrieval with MSG.

Dissemination Exploitation and Communications Plan

D6.1Dissemination Exploitation and Communications Plan

Exploratory research report (ERR)

D5.5Exploratory research report

Definition of E-CONTRAIL Aviation Contrails Detection Products and Archive.

D4.1Definition of E-CONTRAIL Aviation Contrails Detection Products and Archive.

Concept outline

D5.2Concept outline

Relevant data for deep-learning models. Report summarizing the relevant data sources and their usage in the various models.

D3.1Relevant data for deep-learning models. Report summarizing the relevant data sources and their usage in the various models.

Project Management Plan (Final)

D5-1 - Project Management Plan (Final)

Other (1)

Solution Slides

Solution SlidesE-CONTRAIL solution is directly linked to WP4 with inputs or enablers coming from WP1, WP2, WP3. We will include all this information in the delivered document

Data sets, microdata, etc (3)

Scientific Look Up Tables of the cirrus cloud radiative forcing (NetCDF formats), +README.

D2.2Scientific Look Up Tables of the cirrus cloud radiative forcing (NetCDF formats), +README.

Cirrus cloud radiative forcing data record (2018-2022, NetCDF format), +README.

D2.3Cirrus cloud radiative forcing data record (2018-2022, NetCDF format), +README.

Data acquisition

Data Management Plan (2)

Data Management Plan (intermediate)

D6.2Data Management Plan (intermediate)

Data Management Plan

D6.2Data Management Plan (with periodic updates)

Pubblicazioni

Conference proceedings (1)

dvancing Contrail Detection Methods over European Skies

Autori: Ortiz, I., Soler, M., García-Heras, J., Brenot, H., Clerbaux, N., and de Buyl, P.
Pubblicato in: EGU General Assembly 2024, Vienna, Austria, 2024
Editore: Euroopean Geophysics Union
DOI: 10.5194/EGUSPHERE-EGU24-21987