Predicting the climate impact of aviation for en-route emissions: The algorithmic climate change function submodel ACCF 1.0 of EMAC 2.53
F. Yin (TU Delft - Aircraft Noise and Climate Effects)
Volker Grewe (TU Delft - Aircraft Noise and Climate Effects)
Federica Castino (TU Delft - Aircraft Noise and Climate Effects)
P.V. Rao (TU Delft - Aircraft Noise and Climate Effects)
Sigrun Matthes (Deutsches Zentrum für Luft- und Raumfahrt (DLR))
K. Dahlmann (Deutsches Zentrum für Luft- und Raumfahrt (DLR))
Simone Dietmuller (Deutsches Zentrum für Luft- und Raumfahrt (DLR))
Christine Frömming (Deutsches Zentrum für Luft- und Raumfahrt (DLR))
Hiroshi Yamashita (Deutsches Zentrum für Luft- und Raumfahrt (DLR))
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Abstract
The Modular Earth Submodel System (MESSy) provides an interface to couple submodels to a base model via a modular flexible data management facility. This paper presents the newly developed MESSy submodel, ACCF version 1.0 (ACCF 1.0), based on algorithmic Climate Change Functions version 1.0 (aCCFs 1.0), which describes the climate impact of aviation emissions. The ACCF 1.0 is coupled via the second version of the standard MESSy infrastructure. ACCF 1.0 takes the simulated atmospheric conditions at the location of emission as input to calculate the climate impact (in terms of average temperature response over 20 years (ATR20)) of aviation emissions, including CO2 and non-CO2 impacts, such as from NOx emissions (via ozone production and methane destruction), water vapour emissions, and contrail-cirrus. The online calculated ATR20 value per emitted mass fuel burn or flown-kilometer using ACCF 1.0 in the ECHAM5/MESSy Atmospheric Chemistry (EMAC) model is presented. We perform quality checks of the ACCF 1.0 outputs in two aspects. Firstly, we compare climatological values calculated by the ACCF 1.0 to previous studies. Secondly, we evaluate the reduction of NOx-induced O3 effects through trajectory optimization, employing the tagging chemistry approach (contribution approach to tag species according to their emission categories and to inherit these tags to other species during the subsequent chemical reactions). Finally, we couple the ACCF 1.0 to the air traffic simulation submodel AirTraf version 2.0 and demonstrate the variability of the flight trajectories when the efficacy of individual effect is considered.
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