Analysis shows controlling both CO2 emissions and non- CO2 effects has the potential to double the benefits available from reducing carbon emissions alone. Non-CO2 effects such as contrail cirrus clouds (ice crystals that form behind aircraft) and nitrogen oxide (NOx)-induced changes of ozone and methane upset the radiative balance of the atmosphere. They are strongly dependent on the weather and vary considerably according to atmospheric conditions such as air temperature and altitude.
Every aircraft has access to weather information, and it is the expansion of this interface with meteorological data that provides the opportunity to develop climate-optimised trajectories in collaboration with air traffic control and supported by advanced meteorological data products.
FlyATM4E identified those weather situations and aircraft trajectories, which lead to a robust climate impact reduction despite uncertainties in atmospheric science that can be characterised by ensemble probabilistic forecasts. Planning of these climate-optimised aircraft trajectories requires that air traffic management uses spatially and temporally resolved information on the magnitude of the climate effects associated to aviation emissions during the trajectory planning process.
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