Descrizione del progetto
Rendere le scie bianche degli aerei meno dannose per l’ambiente
Le scie di condensazione, quelle soffici strisce bianche lasciate dagli aerei in volo sopra di noi, producono molti danni nei cieli. Infatti, a loro è dovuta la maggior parte dell’impatto climatico generato dell’aviazione. Il progetto BeCoM, finanziato dall’UE, si propone di comprendere meglio come le scie di condensazione influiscano sul clima. Ciò aiuterà ad alleviare l’impatto climatico delle emissioni diverse dalla CO2 generate dell’aviazione. Il progetto prevedrà la posizione e il momento esatti della formazione di queste scie. Osservazioni e misurazioni, oltre a modellizzazioni e previsioni con metodi numerici avanzati e IA, sono solo alcuni degli approcci multilivello adottati per le scie di condensazione. Inoltre, saranno definite raccomandazioni per strategie mirate a combattere l’impatto climatico causato dall’aviazione.
Obiettivo
Aviation contributes to about 5% of the total anthropogenic climate change when including non-CO2 effects, e.g. contrail formation and the impact of NOx emissions on ozone and methane. Among various non-CO2 effects, the contrail-cirrus radiative forcing is the largest (~2/3) with large uncertainties. The most critical affecting factor is the huge weather-induced variability of the radiative impact of individual contrails. This is the quantity, BeCoM will predict better since the knowledge of the individual radiative forcing is the basis for avoidance of just those contrails that contribute most to the overall climate impact. Once this is standard, it will be possible to formulate adequate mitigation measures and develop policy-driven implementation schemes.
BeCoM will address the uncertainties related to the forecasting of persistent contrails and their weather-dependent individual radiative effects. BeCoM focuses on: 1) obtaining a larger and higher resolution database of relative humidity and ice supersaturation at cruise levels for assimilation into numerical weather prediction (NWP) models; 2) providing more adequate representation of ice clouds in their supersaturated environment in the NWP models; and 3) validation of the predictions to determine and reduce the remaining uncertainties of contrail forecasts. To facilitate the assimilation and validation process, BeCoM will develop a novel hybrid artificial intelligence algorithm. Based on the contrail prediction, BeCoM will develop a policy framework for effective contrail avoidance through a trajectory optimization approach. BeCoM will enable a better understanding of contrail’s climate impact and formulate recommendations on how to implement strategies to enable air traffic management to reduce aviation's climate impact. The BeCoM consortium builds on its knowledge and expertise covering a wide spectrum from atmospheric science and climate research to aviation operations research and policy development.
Campo scientifico
- natural sciencescomputer and information sciencesartificial intelligence
- natural sciencesearth and related environmental sciencesatmospheric sciencesmeteorology
- natural scienceschemical sciencesorganic chemistryaliphatic compounds
- natural sciencesearth and related environmental sciencesatmospheric sciencesclimatologyclimatic changes
- social sciencessocial geographytransporttransport planningair traffic management
Parole chiave
Programma(i)
Meccanismo di finanziamento
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinatore
2628 CN Delft
Paesi Bassi