Articles | Volume 6, issue 12
https://doi.org/10.5194/acp-6-4137-2006
© Author(s) 2006. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
https://doi.org/10.5194/acp-6-4137-2006
© Author(s) 2006. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
A modified band approach for the accurate calculation of online photolysis rates in stratospheric-tropospheric Chemical Transport Models
J. E. Williams
Royal Netherlands Meteorological Institute, De Bilt, The Netherlands
J. Landgraf
SRON National Institute for Space Research, Utrecht, The Netherlands
A. Bregman
Royal Netherlands Meteorological Institute, De Bilt, The Netherlands
H. H. Walter
SRON National Institute for Space Research, Utrecht, The Netherlands
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Cited
13 citations as recorded by crossref.
- Investigation of the Influence of Atmospheric Scattering on Photolysis Rates Using the Cloud-J Module A. Imanova et al. https://doi.org/10.3390/atmos16010058
- Modelling stratospheric composition for the Copernicus Atmosphere Monitoring Service: multi-species evaluation of IFS-COMPO Cy49 S. Chabrillat et al. https://doi.org/10.5194/gmd-18-8973-2025
- High-resolution impacts of green areas on air quality in Madrid R. San Jose & J. Perez-Camanyo https://doi.org/10.1007/s11869-022-01263-3
- The application of the Modified Band Approach for the calculation of on-line photodissociation rate constants in TM5: implications for oxidative capacity J. Williams et al. https://doi.org/10.5194/gmd-5-15-2012
- EC-Earth3-AerChem: a global climate model with interactive aerosols and atmospheric chemistry participating in CMIP6 T. van Noije et al. https://doi.org/10.5194/gmd-14-5637-2021
- Simulation of tropospheric chemistry and aerosols with the climate model EC-Earth T. van Noije et al. https://doi.org/10.5194/gmd-7-2435-2014
- 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
- Modelling the future distribution of ammonium nitrate concentrations in The Netherlands for 2020: The sensitivity to meteorological parameters J. Williams et al. https://doi.org/10.1016/j.atmosenv.2015.06.001
- Can we explain the observed methane variability after the Mount Pinatubo eruption? N. Bândă et al. https://doi.org/10.5194/acp-16-195-2016
- Cloud impacts on photochemistry: building a climatology of photolysis rates from the Atmospheric Tomography mission S. Hall et al. https://doi.org/10.5194/acp-18-16809-2018
- Global model simulations of air pollution during the 2003 European heat wave C. Ordóñez et al. https://doi.org/10.5194/acp-10-789-2010
- The effect of stratospheric sulfur from Mount Pinatubo on tropospheric oxidizing capacity and methane N. Bândă et al. https://doi.org/10.1002/2014JD022137
- Modeling actinic flux and photolysis frequencies in dense biomass burning plumes J. Tirpitz et al. https://doi.org/10.5194/acp-25-1989-2025
13 citations as recorded by crossref.
- Investigation of the Influence of Atmospheric Scattering on Photolysis Rates Using the Cloud-J Module A. Imanova et al. https://doi.org/10.3390/atmos16010058
- Modelling stratospheric composition for the Copernicus Atmosphere Monitoring Service: multi-species evaluation of IFS-COMPO Cy49 S. Chabrillat et al. https://doi.org/10.5194/gmd-18-8973-2025
- High-resolution impacts of green areas on air quality in Madrid R. San Jose & J. Perez-Camanyo https://doi.org/10.1007/s11869-022-01263-3
- The application of the Modified Band Approach for the calculation of on-line photodissociation rate constants in TM5: implications for oxidative capacity J. Williams et al. https://doi.org/10.5194/gmd-5-15-2012
- EC-Earth3-AerChem: a global climate model with interactive aerosols and atmospheric chemistry participating in CMIP6 T. van Noije et al. https://doi.org/10.5194/gmd-14-5637-2021
- Simulation of tropospheric chemistry and aerosols with the climate model EC-Earth T. van Noije et al. https://doi.org/10.5194/gmd-7-2435-2014
- 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
- Modelling the future distribution of ammonium nitrate concentrations in The Netherlands for 2020: The sensitivity to meteorological parameters J. Williams et al. https://doi.org/10.1016/j.atmosenv.2015.06.001
- Can we explain the observed methane variability after the Mount Pinatubo eruption? N. Bândă et al. https://doi.org/10.5194/acp-16-195-2016
- Cloud impacts on photochemistry: building a climatology of photolysis rates from the Atmospheric Tomography mission S. Hall et al. https://doi.org/10.5194/acp-18-16809-2018
- Global model simulations of air pollution during the 2003 European heat wave C. Ordóñez et al. https://doi.org/10.5194/acp-10-789-2010
- The effect of stratospheric sulfur from Mount Pinatubo on tropospheric oxidizing capacity and methane N. Bândă et al. https://doi.org/10.1002/2014JD022137
- Modeling actinic flux and photolysis frequencies in dense biomass burning plumes J. Tirpitz et al. https://doi.org/10.5194/acp-25-1989-2025
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