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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/gmd-2019-328
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-2019-328
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: development and technical paper 10 Jan 2020

Submitted as: development and technical paper | 10 Jan 2020

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Model Development (GMD).

An online emission module for atmospheric chemistry transport models: Implementation in COSMO-GHG v5.6a and COSMO-ART v5.1-3.1

Michael Jähn1, Gerrit Kuhlmann1, Qing Mu1,a, Jean-Matthieu Haussaire1, David Ochsner1, Katherine Osterried2, Valentin Clément3, and Dominik Brunner1 Michael Jähn et al.
  • 1Swiss Federal Laboratories for Materials Science and Technology (Empa), Dübendorf, Switzerland
  • 2Center for Climate Systems Modelling (C2SM), ETH Zurich, Zurich, Switzerland
  • 3Federal Office for Meteorology and Climatology (MeteoSwiss), Kloten, Switzerland
  • anow at: Norwegian Meteorological Institute, Division for Climate Modelling and Air Pollution, Oslo, Norway

Abstract. Emission inventories serve as crucial input for atmospheric chemistry transport models. To make them usable for a model simulation, they have to be pre-processed and, traditionally, provided as input files at discrete model time steps. In this paper, we present an online approach, which produces a minimal number of input data read in at the beginning of a simulation and which handles essential processing steps online during the simulation. For this purpose, a stand-alone Python package emiproc was developed, which projects the inventory data to the model grid and generates temporal and vertical scaling profiles for individual emission categories. The package is also able to produce offline emission files if desired. Furthermore, we outline the concept of the online emission module (written in Fortran 90) and demonstrate its implementation in two different atmospheric transport models, COSMO-GHG and COSMO-ART. Simulation results from both modeling systems show the equivalence of the online and offline procedure. While the model run-time is very similar for both approaches, disk storage and pre-processing time are greatly reduced when online emissions are utilized.

Michael Jähn et al.
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Short summary
Emission inventories of air pollutants and greenhouse gases are widely used as input for atmospheric chemistry transport models. However, the pre-processing of these data is both time-consuming and requires a large amount of disk storage. To overcome this issue, a Python package has been developed and tested for two different models. There, the inventory is projected to the model grid and scaling factors are provided. This approach saves computational time while remaining numerically equivalent.
Emission inventories of air pollutants and greenhouse gases are widely used as input for...
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