Model description paper
04 May 2018
Model description paper
| 04 May 2018
The chemistry–climate model ECHAM6.3-HAM2.3-MOZ1.0
Martin G. Schultz et al.
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Cited
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- The Importance of the Representation of DMS Oxidation in Global Chemistry‐Climate Simulations E. Hoffmann et al. 10.1029/2021GL094068
- The impact of COVID-19 lockdown measures on the Indian summer monsoon S. Fadnavis et al. 10.1088/1748-9326/ac109c
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- The Flexible Ocean and Climate Infrastructure version 1 (FOCI1): mean state and variability K. Matthes et al. 10.5194/gmd-13-2533-2020
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- Extending legacy climate models by adaptive mesh refinement for single-component tracer transport: a case study with ECHAM6-HAMMOZ (ECHAM6.3-HAM2.3-MOZ1.0) Y. Chen et al. 10.5194/gmd-14-2289-2021
- The importance of mixed-phase and ice clouds for climate sensitivity in the global aerosol–climate model ECHAM6-HAM2 U. Lohmann & D. Neubauer 10.5194/acp-18-8807-2018
- Isoprene-derived secondary organic aerosol in the global aerosol–chemistry–climate model ECHAM6.3.0–HAM2.3–MOZ1.0 S. Stadtler et al. 10.5194/gmd-11-3235-2018
- Large-Scale Modeling of Absorbing Aerosols and Their Semi-Direct Effects I. Tegen & B. Heinold 10.3390/atmos9100380
- Explainable Machine Learning Reveals Capabilities, Redundancy, and Limitations of a Geospatial Air Quality Benchmark Dataset S. Stadtler et al. 10.3390/make4010008
- Cropland trees need to be included for accurate model simulations of land-atmosphere heat fluxes, temperature, boundary layer height, and ozone A. Mishra et al. 10.1016/j.scitotenv.2020.141728
- Impact of U.S. Oil and Natural Gas Emission Increases on Surface Ozone Is Most Pronounced in the Central United States A. Pozzer et al. 10.1021/acs.est.9b06983
- Simulating glacial dust changes in the Southern Hemisphere using ECHAM6.3-HAM2.3 S. Krätschmer et al. 10.5194/cp-18-67-2022
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- Assimilating aerosol optical properties related to size and absorption from POLDER/PARASOL with an ensemble data assimilation system A. Tsikerdekis et al. 10.5194/acp-21-2637-2021
- Future warming exacerbated by aged-soot effect on cloud formation U. Lohmann et al. 10.1038/s41561-020-0631-0
- CAPRAM reduction towards an operational multiphase halogen and dimethyl sulfide chemistry treatment in the chemistry transport model COSMO-MUSCAT(5.04e) E. Hoffmann et al. 10.5194/gmd-13-2587-2020
- The global aerosol–climate model ECHAM6.3–HAM2.3 – Part 1: Aerosol evaluation I. Tegen et al. 10.5194/gmd-12-1643-2019
- Coupling aerosols to (cirrus) clouds in the global EMAC-MADE3 aerosol–climate model M. Righi et al. 10.5194/gmd-13-1635-2020
- Strong Deviations from Thermodynamically Expected Phase Partitioning of Low-Molecular-Weight Organic Acids during One Year of Rural Measurements B. Stieger et al. 10.1021/acsearthspacechem.0c00297
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2 citations as recorded by crossref.
Latest update: 17 May 2022
Short summary
The chemistry–climate model ECHAM-HAMMOZ contains a detailed representation of tropospheric and stratospheric reactive chemistry and state-of-the-art parameterizations of aerosols. It thus allows for detailed investigations of chemical processes in the climate system. Evaluation of the model with various observational data yields good results, but the model has a tendency to produce too much OH in the tropics. This highlights the important interplay between atmospheric chemistry and dynamics.
The chemistry–climate model ECHAM-HAMMOZ contains a detailed representation of tropospheric and...