Descripción del proyecto
Lograr que las estelas blancas de los aviones sean menos perjudiciales para el medio ambiente
Las estelas de condensación, esas líneas blancas y esponjosas que dejan los aviones al volar, perjudican mucho los cielos. De hecho, representan la mayor parte de las repercusiones climáticas de la aviación. El proyecto BeCoM, financiado con fondos europeos, tiene como objetivo comprender mejor de qué manera las estelas de condensación influyen en el clima. Eso ayudará a reducir el impacto climático de las emisiones de la aviación que no son CO2. El proyecto permitirá predecir el lugar y el momento precisos de la formación de las estelas de condensación. Las observaciones y las mediciones, así como la modelización y las predicciones mediante métodos numéricos avanzados e inteligencia artificial, son algunos de los enfoques de múltiples niveles para abordar la cuestión de las estelas de condensación. También se elaborarán recomendaciones sobre estrategias para hacer frente al impacto climático causado por la aviación.
Objetivo
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.
Ámbito científico
- 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
Palabras clave
Programa(s)
Régimen de financiación
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinador
2628 CN Delft
Países Bajos