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      The global aerosol–climate model ECHAM6.3–HAM2.3 – Part 1: Aerosol evaluation

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          Abstract

          Abstract. We introduce and evaluate aerosol simulations with the global aerosol–climate model ECHAM6.3–HAM2.3, which is the aerosol component of the fully coupled aerosol–chemistry–climate model ECHAM–HAMMOZ. Both the host atmospheric climate model ECHAM6.3 and the aerosol model HAM2.3 were updated from previous versions. The updated version of the HAM aerosol model contains improved parameterizations of aerosol processes such as cloud activation, as well as updated emission fields for anthropogenic aerosol species and modifications in the online computation of sea salt and mineral dust aerosol emissions. Aerosol results from nudged and free-running simulations for the 10-year period 2003 to 2012 are compared to various measurements of aerosol properties. While there are regional deviations between the model and observations, the model performs well overall in terms of aerosol optical thickness, but may underestimate coarse-mode aerosol concentrations to some extent so that the modeled particles are smaller than indicated by the observations. Sulfate aerosol measurements in the US and Europe are reproduced well by the model, while carbonaceous aerosol species are biased low. Both mineral dust and sea salt aerosol concentrations are improved compared to previous versions of ECHAM–HAM. The evaluation of the simulated aerosol distributions serves as a basis for the suitability of the model for simulating aerosol–climate interactions in a changing climate.

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              The Model of Emissions of Gases and Aerosols from Nature version 2.1 (MEGAN2.1): an extended and updated framework for modeling biogenic emissions

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                Journal
                Geoscientific Model Development
                Geosci. Model Dev.
                Copernicus GmbH
                1991-9603
                2019
                April 24 2019
                : 12
                : 4
                : 1643-1677
                Article
                10.5194/gmd-12-1643-2019
                53e99398-0a9d-4e4f-abb0-7bf408cb62fc
                © 2019

                https://creativecommons.org/licenses/by/4.0/

                History

                Quantitative & Systems biology,Biophysics
                Quantitative & Systems biology, Biophysics

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