Articles | Volume 5, issue 1
https://doi.org/10.5194/gmd-5-87-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-5-87-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
19 Jan 2012
Development and technical paper |
| 19 Jan 2012
The 1-way on-line coupled atmospheric chemistry model system MECO(n) – Part 1: Description of the limited-area atmospheric chemistry model COSMO/MESSy
A. Kerkweg
Institute for Atmospheric Physics, University of Mainz, Germany
P. Jöckel
now at: Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, 82234 Oberpfaffenhofen, Germany
Max Planck-Institut für Chemie, Abteilung Luftchemie, 55128 Mainz, Germany
Viewed
Total article views: 10,792 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 21 Jun 2011)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,590 | 6,885 | 317 | 10,792 | 360 | 373 |
- HTML: 3,590
- PDF: 6,885
- XML: 317
- Total: 10,792
- BibTeX: 360
- EndNote: 373
Total article views: 9,746 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 19 Jan 2012)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,297 | 6,168 | 281 | 9,746 | 326 | 357 |
- HTML: 3,297
- PDF: 6,168
- XML: 281
- Total: 9,746
- BibTeX: 326
- EndNote: 357
Total article views: 1,046 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 21 Jun 2011)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 293 | 717 | 36 | 1,046 | 34 | 16 |
- HTML: 293
- PDF: 717
- XML: 36
- Total: 1,046
- BibTeX: 34
- EndNote: 16
Cited
30 citations as recorded by crossref.
- Air quality modelling, simulation, and computational methods: a review M. El-Harbawi https://doi.org/10.1139/er-2012-0056
- Airborne remote sensing of nitrous acid in the troposphere: potential sources of excess HONO B. Weyland et al. https://doi.org/10.5194/acp-26-6825-2026
- On the influence of vertical mixing, boundary layer schemes, and temporal emission profiles on tropospheric NO2 in WRF-Chem – comparisons to in situ, satellite, and MAX-DOAS observations L. Kuhn et al. https://doi.org/10.5194/acp-24-185-2024
- Superparameterised cloud effects in the EMAC general circulation model (v2.50) – influences of model configuration H. Rybka & H. Tost https://doi.org/10.5194/gmd-13-2671-2020
- Implementation of the Community Earth System Model (CESM) version 1.2.1 as a new base model into version 2.50 of the MESSy framework A. Baumgaertner et al. https://doi.org/10.5194/gmd-9-125-2016
- The MESSy DWARF (based on MESSy v2.55.2) A. Kerkweg et al. https://doi.org/10.5194/gmd-18-1265-2025
- The 1-way on-line coupled model system MECO(n) – Part 4: Chemical evaluation (based on MESSy v2.52) M. Mertens et al. https://doi.org/10.5194/gmd-9-3545-2016
- Modelling feedbacks between human and natural processes in the land system D. Robinson et al. https://doi.org/10.5194/esd-9-895-2018
- An advanced method of contributing emissions to short-lived chemical species (OH and HO2): the TAGGING 1.1 submodel based on the Modular Earth Submodel System (MESSy 2.53) V. Rieger et al. https://doi.org/10.5194/gmd-11-2049-2018
- COVID-19 induced lower-tropospheric ozone changes M. Mertens et al. https://doi.org/10.1088/1748-9326/abf191
- TransClim (v1.0): a chemistry–climate response model for assessing the effect of mitigation strategies for road traffic on ozone V. Rieger & V. Grewe https://doi.org/10.5194/gmd-15-5883-2022
- Hindcasting and forecasting of regional methane from coal mine emissions in the Upper Silesian Coal Basin using the online nested global regional chemistry–climate model MECO(n) (MESSy v2.53) A. Nickl et al. https://doi.org/10.5194/gmd-13-1925-2020
- Airborne in situ quantification of methane emissions from oil and gas production in Romania H. Maazallahi et al. https://doi.org/10.5194/acp-25-1497-2025
- Evaluation of the coupled high-resolution atmospheric chemistry model system MECO(n) using in situ and MAX-DOAS NO2 measurements V. Kumar et al. https://doi.org/10.5194/amt-14-5241-2021
- Evaluation of the WRF-Chem performance for the air pollutants over the United Arab Emirates Y. Yarragunta et al. https://doi.org/10.5194/acp-25-1685-2025
- Impact of chemical lateral boundary conditions in a regional air quality forecast model on surface ozone predictions during stratospheric intrusions D. Pendlebury et al. https://doi.org/10.1016/j.atmosenv.2017.10.052
- Contribution of emissions to concentrations: the TAGGING 1.0 submodel based on the Modular Earth Submodel System (MESSy 2.52) V. Grewe et al. https://doi.org/10.5194/gmd-10-2615-2017
- Urban greenhouse gas emissions from the Berlin area: A case study using airborne CO2 and CH4 in situ observations in summer 2018 T. Klausner et al. https://doi.org/10.1525/elementa.411
- Detection and quantification of CH4 plumes using the WFM-DOAS retrieval on AVIRIS-NG hyperspectral data J. Borchardt et al. https://doi.org/10.5194/amt-14-1267-2021
- The photolysis module JVAL-14, compatible with the MESSy standard, and the JVal PreProcessor (JVPP) R. Sander et al. https://doi.org/10.5194/gmd-7-2653-2014
- NitroNet – a machine learning model for the prediction of tropospheric NO2 profiles from TROPOMI observations L. Kuhn et al. https://doi.org/10.5194/amt-17-6485-2024
- The on-line coupled atmospheric chemistry model system MECO(n) – Part 5: Expanding the Multi-Model-Driver (MMD v2.0) for 2-way data exchange including data interpolation via GRID (v1.0) A. Kerkweg et al. https://doi.org/10.5194/gmd-11-1059-2018
- Attributing ozone and its precursors to land transport emissions in Europe and Germany M. Mertens et al. https://doi.org/10.5194/acp-20-7843-2020
- The 1-way on-line coupled atmospheric chemistry model system MECO(n) – Part 2: On-line coupling with the Multi-Model-Driver (MMD) A. Kerkweg & P. Jöckel https://doi.org/10.5194/gmd-5-111-2012
- The COSMO-CLM 4.8 regional climate model coupled to regional ocean, land surface and global earth system models using OASIS3-MCT: description and performance A. Will et al. https://doi.org/10.5194/gmd-10-1549-2017
- A diagnostic interface for the ICOsahedral Non-hydrostatic (ICON) modelling framework based on the Modular Earth Submodel System (MESSy v2.50) B. Kern & P. Jöckel https://doi.org/10.5194/gmd-9-3639-2016
- Are contributions of emissions to ozone a matter of scale? – a study using MECO(n) (MESSy v2.50) M. Mertens et al. https://doi.org/10.5194/gmd-13-363-2020
- Simulated mixing in the UTLS by small-scale turbulence using multi-scale chemistry-climate model MECO(n) C. Chau et al. https://doi.org/10.5194/acp-25-13123-2025
- Mitigating the Climate Impact from Aviation: Achievements and Results of the DLR WeCare Project V. Grewe et al. https://doi.org/10.3390/aerospace4030034
- Modular System for Shelves and Coasts (MOSSCO v1.0) – a flexible and multi-component framework for coupled coastal ocean ecosystem modelling C. Lemmen et al. https://doi.org/10.5194/gmd-11-915-2018
30 citations as recorded by crossref.
- Air quality modelling, simulation, and computational methods: a review M. El-Harbawi https://doi.org/10.1139/er-2012-0056
- Airborne remote sensing of nitrous acid in the troposphere: potential sources of excess HONO B. Weyland et al. https://doi.org/10.5194/acp-26-6825-2026
- On the influence of vertical mixing, boundary layer schemes, and temporal emission profiles on tropospheric NO2 in WRF-Chem – comparisons to in situ, satellite, and MAX-DOAS observations L. Kuhn et al. https://doi.org/10.5194/acp-24-185-2024
- Superparameterised cloud effects in the EMAC general circulation model (v2.50) – influences of model configuration H. Rybka & H. Tost https://doi.org/10.5194/gmd-13-2671-2020
- Implementation of the Community Earth System Model (CESM) version 1.2.1 as a new base model into version 2.50 of the MESSy framework A. Baumgaertner et al. https://doi.org/10.5194/gmd-9-125-2016
- The MESSy DWARF (based on MESSy v2.55.2) A. Kerkweg et al. https://doi.org/10.5194/gmd-18-1265-2025
- The 1-way on-line coupled model system MECO(n) – Part 4: Chemical evaluation (based on MESSy v2.52) M. Mertens et al. https://doi.org/10.5194/gmd-9-3545-2016
- Modelling feedbacks between human and natural processes in the land system D. Robinson et al. https://doi.org/10.5194/esd-9-895-2018
- An advanced method of contributing emissions to short-lived chemical species (OH and HO2): the TAGGING 1.1 submodel based on the Modular Earth Submodel System (MESSy 2.53) V. Rieger et al. https://doi.org/10.5194/gmd-11-2049-2018
- COVID-19 induced lower-tropospheric ozone changes M. Mertens et al. https://doi.org/10.1088/1748-9326/abf191
- TransClim (v1.0): a chemistry–climate response model for assessing the effect of mitigation strategies for road traffic on ozone V. Rieger & V. Grewe https://doi.org/10.5194/gmd-15-5883-2022
- Hindcasting and forecasting of regional methane from coal mine emissions in the Upper Silesian Coal Basin using the online nested global regional chemistry–climate model MECO(n) (MESSy v2.53) A. Nickl et al. https://doi.org/10.5194/gmd-13-1925-2020
- Airborne in situ quantification of methane emissions from oil and gas production in Romania H. Maazallahi et al. https://doi.org/10.5194/acp-25-1497-2025
- Evaluation of the coupled high-resolution atmospheric chemistry model system MECO(n) using in situ and MAX-DOAS NO2 measurements V. Kumar et al. https://doi.org/10.5194/amt-14-5241-2021
- Evaluation of the WRF-Chem performance for the air pollutants over the United Arab Emirates Y. Yarragunta et al. https://doi.org/10.5194/acp-25-1685-2025
- Impact of chemical lateral boundary conditions in a regional air quality forecast model on surface ozone predictions during stratospheric intrusions D. Pendlebury et al. https://doi.org/10.1016/j.atmosenv.2017.10.052
- Contribution of emissions to concentrations: the TAGGING 1.0 submodel based on the Modular Earth Submodel System (MESSy 2.52) V. Grewe et al. https://doi.org/10.5194/gmd-10-2615-2017
- Urban greenhouse gas emissions from the Berlin area: A case study using airborne CO2 and CH4 in situ observations in summer 2018 T. Klausner et al. https://doi.org/10.1525/elementa.411
- Detection and quantification of CH4 plumes using the WFM-DOAS retrieval on AVIRIS-NG hyperspectral data J. Borchardt et al. https://doi.org/10.5194/amt-14-1267-2021
- The photolysis module JVAL-14, compatible with the MESSy standard, and the JVal PreProcessor (JVPP) R. Sander et al. https://doi.org/10.5194/gmd-7-2653-2014
- NitroNet – a machine learning model for the prediction of tropospheric NO2 profiles from TROPOMI observations L. Kuhn et al. https://doi.org/10.5194/amt-17-6485-2024
- The on-line coupled atmospheric chemistry model system MECO(n) – Part 5: Expanding the Multi-Model-Driver (MMD v2.0) for 2-way data exchange including data interpolation via GRID (v1.0) A. Kerkweg et al. https://doi.org/10.5194/gmd-11-1059-2018
- Attributing ozone and its precursors to land transport emissions in Europe and Germany M. Mertens et al. https://doi.org/10.5194/acp-20-7843-2020
- The 1-way on-line coupled atmospheric chemistry model system MECO(n) – Part 2: On-line coupling with the Multi-Model-Driver (MMD) A. Kerkweg & P. Jöckel https://doi.org/10.5194/gmd-5-111-2012
- The COSMO-CLM 4.8 regional climate model coupled to regional ocean, land surface and global earth system models using OASIS3-MCT: description and performance A. Will et al. https://doi.org/10.5194/gmd-10-1549-2017
- A diagnostic interface for the ICOsahedral Non-hydrostatic (ICON) modelling framework based on the Modular Earth Submodel System (MESSy v2.50) B. Kern & P. Jöckel https://doi.org/10.5194/gmd-9-3639-2016
- Are contributions of emissions to ozone a matter of scale? – a study using MECO(n) (MESSy v2.50) M. Mertens et al. https://doi.org/10.5194/gmd-13-363-2020
- Simulated mixing in the UTLS by small-scale turbulence using multi-scale chemistry-climate model MECO(n) C. Chau et al. https://doi.org/10.5194/acp-25-13123-2025
- Mitigating the Climate Impact from Aviation: Achievements and Results of the DLR WeCare Project V. Grewe et al. https://doi.org/10.3390/aerospace4030034
- Modular System for Shelves and Coasts (MOSSCO v1.0) – a flexible and multi-component framework for coupled coastal ocean ecosystem modelling C. Lemmen et al. https://doi.org/10.5194/gmd-11-915-2018
Saved (final revised paper)
Latest update: 03 Aug 2026
Download
- Article
(1822 KB) - Metadata XML
