@misc{bieserj_multi_model_2020, 
author={Bieser J., Ramacher M., Prank M., Solazzo E., Uppstu A.},
title={Multi Model Study on the Impact of Emissions on CTMs},
year={2020},
howpublished = {conference paper: ;},
doi = {https://doi.org/10.1007/978-3-030-22055-6_49},
abstract = {Emission data are a key driver and a major source of uncertainty to atmospheric chemistry transport models. As part of the international model-intercomparison study AQMEII chemistry transport models (CTMs) with harmonized input data have been used to evaluate the impact of emission datasets on different species and compare it to the effect of meteorology and parametrization of the CTM.},
note = {Online available at: \url{https://doi.org/10.1007/978-3-030-22055-6_49} (DOI). Bieser J.; Ramacher M.; Prank M.; Solazzo E.; Uppstu A.: Multi Model Study on the Impact of Emissions on CTMs. In: Mensink C.; Gong W.; Hakami A. (Ed.): Air Pollution Modeling and its Application XXVI. ITM 2018. Springer Proceedings in Complexity. Cham: Springer. 2020. 309-315. DOI: 10.1007/978-3-030-22055-6_49}}