User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse




Book Chapter

Relevance of Photolysis Frequencies Calculation Aspects to the Ozone Concentration Simulation

There are no MPG-Authors available
External Ressource
No external resources are shared
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available

Uphoff, M., Grawe, D., Ross, O., & Schlünzen, H. (2014). Relevance of Photolysis Frequencies Calculation Aspects to the Ozone Concentration Simulation. In D. Steyn, & R. Mathur (Eds.), Air Pollution Modeling and its Application XXIII (pp. 205-210). Cham: Springer International Publishing.

Cite as: http://hdl.handle.net/11858/00-001M-0000-002E-0CD2-9
For the simulation of photochemically created pollutants like ozone it is essential to correctly consider reaction rates induced by short-wave radiation. In atmospheric chemistry transport models this is achieved by the use of either off- or online calculated photolysis frequencies. In this study the effect of different input parameters of a radiation model on the calculated photolysis frequencies have been investigated. In the second step an atmospheric chemistry transport model was used to assess the impact of changed photolysis frequencies on the simulation of ozone concentrations. The impact of changed radiation model input parameters on the calculated photolysis frequencies vary not only with regard to the changed parameter but also with regard to the to the species to be dissociated. Furthermore the impact of different sets of photolysis rates employed in a chemical transport simulation on the modelled concentrations is differed and likely to be less important than other aspects of the simulation like the resolution of the grid and the emissions used. Apart from major surface albedo changes (grass to snow) and extreme changes in total ozone column content for JO3 clouds are the dominating factor in modifying the photolysis frequencies especially as they feature a highly temporal and special variation. The results show that simulated maximum ozone concentrations in areas with clouds are reduced.