Articles | Volume 12, issue 5
https://doi.org/10.5194/gmd-12-1885-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-12-1885-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
14 May 2019
Model description paper |
| 14 May 2019
| 14 May 2019
HERMESv3, a stand-alone multi-scale atmospheric emission modelling framework – Part 1: global and regional module
Earth Sciences Department, Barcelona Supercomputing Center, Barcelona,
08034, Spain
Carles Tena
Earth Sciences Department, Barcelona Supercomputing Center, Barcelona,
08034, Spain
Manuel Porquet
Earth Sciences Department, Barcelona Supercomputing Center, Barcelona,
08034, Spain
Oriol Jorba
Earth Sciences Department, Barcelona Supercomputing Center, Barcelona,
08034, Spain
Carlos Pérez García-Pando
Earth Sciences Department, Barcelona Supercomputing Center, Barcelona,
08034, Spain
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- An online emission module for atmospheric chemistry transport models: implementation in COSMO-GHG v5.6a and COSMO-ART v5.1-3.1 M. Jähn et al. 10.5194/gmd-13-2379-2020
- Copernicus Atmosphere Monitoring Service TEMPOral profiles (CAMS-TEMPO): global and European emission temporal profile maps for atmospheric chemistry modelling M. Guevara et al. 10.5194/essd-13-367-2021
- Improving maritime traffic emission estimations on missing data with CRBMs A. Gutierrez-Torre et al. 10.1016/j.engappai.2020.103793
- Mineral dust cycle in the Multiscale Online Nonhydrostatic AtmospheRe CHemistry model (MONARCH) Version 2.0 M. Klose et al. 10.5194/gmd-14-6403-2021
- FUME 2.0 – Flexible Universal processor for Modeling Emissions M. Belda et al. 10.5194/gmd-17-3867-2024
- Data assimilation experiments over Europe with the Chemical Transport Model FARM M. Adani & F. Uboldi 10.1016/j.atmosenv.2023.119806
- Inferring the diurnal variability of OH radical concentrations over the Amazon from BVOC measurements A. Ringsdorf et al. 10.1038/s41598-023-41748-4
- Description and evaluation of a newly developed emission inventory processing system (EMIPS) W. Chen et al. 10.1016/j.scitotenv.2023.161909
- Mapping direct N2O emissions from peri-urban agriculture: The case of the Metropolitan Area of Barcelona A. Mendoza Beltran et al. 10.1016/j.scitotenv.2022.153514
- Advances in air quality research – current and emerging challenges R. Sokhi et al. 10.5194/acp-22-4615-2022
- On the uncertainty of anthropogenic aromatic volatile organic compound emissions: model evaluation and sensitivity analysis K. Oliveira et al. 10.5194/acp-24-7137-2024
- Modeling air quality at urban scale in the city of Barcelona: A matter of green resolution V. Vidal et al. 10.1016/j.jocs.2024.102289
- Geographic sources of ozone air pollution and mortality burden in Europe H. Achebak et al. 10.1038/s41591-024-02976-x
- Using Machine Learning to estimate the impact of different modes of transport and traffic restriction strategies on urban air quality A. Fabregat et al. 10.1016/j.uclim.2022.101284
- Combining the Emission Preprocessor HERMES with the Chemical Transport Model TM5-MP S. Seemann et al. 10.3390/atmos15040469
- Potential of TROPOMI for understanding spatio-temporal variations in surface NO2 and their dependencies upon land use over the Iberian Peninsula H. Petetin et al. 10.5194/acp-23-3905-2023
- Updated national emission inventory and comparison with the Emissions Database for Global Atmospheric Research (EDGAR): case of Lebanon A. Shami et al. 10.1007/s11356-021-17562-8
- Severe atmospheric pollution in the Middle East is attributable to anthropogenic sources S. Osipov et al. 10.1038/s43247-022-00514-6
- Modelling the impacts of emission changes on O3 sensitivity, atmospheric oxidation capacity, and pollution transport over the Catalonia region A. Badia et al. 10.5194/acp-23-10751-2023
- Chemistry Across Multiple Phases (CAMP) version 1.0: an integrated multiphase chemistry model M. Dawson et al. 10.5194/gmd-15-3663-2022
- The Comprehensive Automobile Research System (CARS) – a Python-based automobile emissions inventory model B. Baek et al. 10.5194/gmd-15-4757-2022
- Data fusion uncertainty-enabled methods to map street-scale hourly NO2 in Barcelona: a case study with CALIOPE-Urban v1.0 A. Criado et al. 10.5194/gmd-16-2193-2023
- An Urban Scheme for the ECMWF Integrated Forecasting System: Global Forecasts and Residential CO2 Emissions J. McNorton et al. 10.1029/2022MS003286
- HERMESv3, a stand-alone multi-scale atmospheric emission modelling framework – Part 2: The bottom–up module M. Guevara et al. 10.5194/gmd-13-873-2020
- On the impact of excess diesel NO X emissions upon NO2 pollution in a compact city J. Benavides et al. 10.1088/1748-9326/abd5dd
- Time-resolved emission reductions for atmospheric chemistry modelling in Europe during the COVID-19 lockdowns M. Guevara et al. 10.5194/acp-21-773-2021
- A take-home message from COVID-19 on urban air pollution reduction through mobility limitations and teleworking A. Badia et al. 10.1038/s42949-021-00037-7
Latest update: 29 Jun 2024
Short summary
Atmospheric emission inventories, which describe the amounts of pollutants released into the air by different sources and for specific regions, are an essential input to numerical models that estimate air quality. This work presents the High-Elective Resolution Modelling Emission System version 3 (HERMESv3), an open-source modelling framework that allows adapting existing global and regional emission inventories to the input requirements of air quality models in a flexible and transparent way.
Atmospheric emission inventories, which describe the amounts of pollutants released into the air...
