Articles | Volume 6, issue 11
https://doi.org/10.5194/acp-6-3603-2006
© Author(s) 2006. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
https://doi.org/10.5194/acp-6-3603-2006
© Author(s) 2006. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
Technical note: Implementation of prescribed (OFFLEM), calculated (ONLEM), and pseudo-emissions (TNUDGE) of chemical species in the Modular Earth Submodel System (MESSy)
A. Kerkweg
Air Chemistry Department, Max-Planck Institute of Chemistry, P.O. Box 3060, 55020 Mainz, Germany
R. Sander
Air Chemistry Department, Max-Planck Institute of Chemistry, P.O. Box 3060, 55020 Mainz, Germany
H. Tost
Air Chemistry Department, Max-Planck Institute of Chemistry, P.O. Box 3060, 55020 Mainz, Germany
P. Jöckel
Air Chemistry Department, Max-Planck Institute of Chemistry, P.O. Box 3060, 55020 Mainz, Germany
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- Data-driven aeolian dust emission scheme for climate modelling evaluated with EMAC 2.55.2 K. Klingmüller & J. Lelieveld
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- Reconstructing volcanic radiative forcing since 1990, using a comprehensive emission inventory and spatially resolved sulfur injections from satellite data in a chemistry-climate model J. Schallock et al.
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- Simulation of polar stratospheric clouds in the chemistry-climate-model EMAC via the submodel PSC O. Kirner et al.
- 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 et al.
- Challenges in simulating ozone depletion events in the Arctic boundary layer: a case study using ECHAM/MESSy for spring 2019/2020 S. Falk et al.
- Global model simulations of the impact of ocean-going ships on aerosols, clouds, and the radiation budget A. Lauer et al.
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- Aerosol pollution potential from major population centers D. Kunkel et al.
- Description and evaluation of GMXe: a new aerosol submodel for global simulations (v1) K. Pringle et al.
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