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Implementation and evaluation of updated photolysis rates in the EMEP MSC-W chemistry-transport model using Cloud-J v7.3e

TitleImplementation and evaluation of updated photolysis rates in the EMEP MSC-W chemistry-transport model using Cloud-J v7.3e
Publication TypeArticolo su Rivista peer-reviewed
Year of Publication2023
AuthorsVan Caspel, W.E., Simpson D., Jonson J.E., Benedictow A.M.K., Ge Y., Di Sarra Alcide, Pace Giandomenico, Vieno M., Walker H.L., and Heal M.R.
JournalGeoscientific Model Development
Volume16
Pagination7433-7459
ISSN1991959X
Keywordsaerosol, Atmospheric chemistry, cloud cover, concentration (composition), Europe, optical property, Ozone, photolysis
Abstract

The present work describes the implementation of the state of the art Cloud-J v7.3 photolysis rate calculation code in the EMEP MSC-W chemistry-transport model. Cloud-J calculates photolysis rates and accounts for cloud and aerosol optical properties at model run time, replacing the old system based on tabulated values. The performance of Cloud-J is evaluated against aerial photolysis rate observations made over the Pacific Ocean and against surface observations from three measurement sites in Europe. Numerical experiments are performed to investigate the sensitivity of the calculated photolysis rates to the spatial and temporal model resolution, input meteorology model, simulated ozone column, and cloud effect parameterization. These experiments indicate that the calculated photolysis rates are most sensitive to the choice of input meteorology model and cloud effect parameterization while also showing that surface ozone photolysis rates can vary by up to 20ĝ€¯% due to daily variations in total ozone column. Further analysis investigates the impact of Cloud-J on the oxidizing capacity of the troposphere, aerosol-photolysis interactions, and surface air quality predictions. Results find that the annual mean mass-weighted tropospheric hydroxyl concentration is increased by 26ĝ€¯%, while the photolytic impact of aerosols is mostly limited to large tropical biomass-burning regions. Overall, Cloud-J represents a major improvement over the tabulated system, leading to improved model performance for predicting carbon monoxide and daily maximum ozone surface concentrations. © Copyright:

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URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85181566047&doi=10.5194%2fgmd-16-7433-2023&partnerID=40&md5=4814049b75e715d3e6a639c0fdff9344
DOI10.5194/gmd-16-7433-2023
Citation KeyVanCaspel20237433