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Models and Data



The ECHAM/MESSy Atmospheric Chemistry (EMAC) model is a numerical chemistry and climate simulation system that includes sub-models describing tropospheric and middle atmosphere processes and their interaction with oceans, land and human influences (Jöckel et al., 2010). EMAC is currently used in the ESM project of the Helmholtz Association and will be used for future PhD projects.

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The CAABA/MECCA box model is an atmospheric chemistry module that contains a comprehensive chemical mechanism with tropospheric and stratospheric chemistry of both the gas and the aqueous phase (MECCA). The box model CAABA sets the scenarios for both atmospheric and laboratory conditions under which MECCA predictions are tested. CAABA/MECCA will be used for modeling the SAPHIR chamber experiments.

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The ECHAM-HAMMOZ community model is a global chemistry climate model based on the general circulation model ECHAM, which was developed at the Max Planck Institute for Meteorology, Hamburg. Under the lead of ETH Zürich, an international team of developers put together a state-of-the-art global atmospheric model with detailed process descriptions of atmospheric chemistry and aerosols. Version ECHAM6.3.0-HAM2.3-MOZ1.0 has been released for open use by the scientific community on 16 Feb 2017. ECHAM-HAMMOZ is currently used in the PhD thesis of Scarlet Stadtler.


The global modeling group has collected and processed various data sets for open use by the scientific community. Here is a collection of our most recognized data products:

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TOAR surface ozone database: the world’s largest collection of quality-controlled surface ozone measurements. Time series of up to 40 years from more than 9,000 stations worldwide. This database constitutes a core component of the first Tropospheric Ozone Assessment Report (TOAR). Pre-compiled metrics data are available through the PANGAEA. TOAR surface data can also be accessed via the graphical web interface JOIN. The TOAR database is described in Schultz et al., Elementa (accepted manuscript, July 2017).

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CAMS gridded model data for regional boundary conditons: daily analyses and forecasts from the Copernicus Atmosphere Monitoring Service (CAMS) have been downloaded to Jülich since 2010. The data are reformatted to netcdf-CF and provided via a web coverage service, allowing to select individual data slices and time ranges.