TY - JOUR
T1 - An online emission module for atmospheric chemistry transport models
T2 - Implementation in COSMO-GHG v5.6a and COSMO-ART v5.1-3.1
AU - Jähn, Michael
AU - Kuhlmann, Gerrit
AU - Mu, Qing
AU - Haussaire, Jean Matthieu
AU - Ochsner, David
AU - Osterried, Katherine
AU - Clément, Valentin
AU - Brunner, Dominik
N1 - Publisher Copyright:
© 2020 MA Healthcare Ltd. All rights reserved.
PY - 2020/5/26
Y1 - 2020/5/26
N2 - 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 COSMOART. 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, input size and pre-processing time are greatly reduced when online emissions are utilized.
AB - 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 COSMOART. 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, input size and pre-processing time are greatly reduced when online emissions are utilized.
UR - http://www.scopus.com/inward/record.url?scp=85085600934&partnerID=8YFLogxK
U2 - 10.5194/gmd-13-2379-2020
DO - 10.5194/gmd-13-2379-2020
M3 - Article
AN - SCOPUS:85085600934
SN - 1991-959X
VL - 13
SP - 2379
EP - 2392
JO - Geoscientific Model Development
JF - Geoscientific Model Development
IS - 5
ER -