Ultraviolet radiation modelling using output from the chemistry climate model initiative

Kevin Lamy (1) , Thierry Portafaix (1) , Beatrice Josse (2) , Colette Brogniez (3) , Sophie Godin-Beekmann (4) , Hassan Bencherif (1, 5) , Laura Revell (6, 7) , Hideharu Akiyoshi (8) , Slimane Bekki , Michaela I. Hegglin , Patrick Jockel , Oliver Kirner , Virginie Marecal (2) , Olaf Morgenstern , Andrea Stenke , Guang Zeng , N. Luke Abraham , Alexander T. Archibald , Neil Butchart , Martyn P. Chipperfield , Glauco Di Genova , Makoto Deushi , Sandip S. Dhomse , Rong-Ming Hu , Douglas Kinnison , Martine Michou (2) , Fiona M. O'Connor , Luke Oman , Giovanni Pitari , David A. Plummer , John A. Pyle , Eugene Rozanov , David Saint-Martin , Kengo Sudo , Taichu Y. Tanaka , Daniele Visioni , Kohei Yoshida

1 LACy - Laboratoire de l'Atmosphère et des Cyclones
2 CNRM - Centre national de recherches météorologiques
3 LOA - Laboratoire d’Optique Atmosphérique - UMR 8518
4 STRATO - LATMOS
5 UKZN - University of KwaZulu-Natal [Durban, Afrique du Sud]
6 IAC - Institute for Atmospheric and Climate Science [Zürich]
7 School of Physical Chemical Sciences [Christchurch]
8 NIES - National Institute for Environmental Studies

We have derived values of the Ultraviolet Index (UVI) at solar noon using the Tropospheric Ultraviolet Model (TUV) driven by ozone, temperature and aerosol fields from climate simulations of the first phase of the Chemistry-Climate Model Initiative (CCMI-1). Since clouds remain one of the largest uncertainties in climate projections, we simulated only the clear-sky UVI. We compared the modelled UVI climatologies against present-day climatological values of UVI derived from both satellite data (the OMI-Aura OMUVBd product) and ground-based measurements (from the NDACC network). Depending on the region, relative differences between the UVI obtained from CCMI/TUV calculations and the ground-based measurements ranged between -5.9% and 10.6%. We then calculated the UVI evolution throughout the 21st century for the four Representative Concentration Pathways (RCPs 2.6, 4.5, 6.0 and 8.5). Compared to 1960s values, we found an average increase in the UVI in 2100 (of 2-4%) in the tropical belt (30°N-30°S). For the mid-latitudes, we observed a 1.8 to 3.4 % increase in the Southern Hemisphere for RCP 2.6, 4.5 and 6.0, and found a 2.3% decrease in RCP 8.5. Higher increases in UVI are projected in the Northern Hemisphere except for RCP 8.5. At high latitudes, ozone recovery is well identified and induces a complete return of mean UVI levels to 1960 values for RCP 8.5 in the Southern Hemisphere. In the Northern Hemisphere, UVI levels in 2100 are higher by 0.5 to 5.5% for RCP 2.6, 4.5 and 6.0 and they are lower by 7.9% for RCP 8.5. We analysed the impacts of greenhouse gases (GHGs) and ozone-depleting substances (ODSs) on UVI from 1960 by comparing CCMI sensitivity simulations (1960-2100) with fixed GHGs or ODSs at their respective 1960 levels. As expected with ODS fixed at their 1960 levels, there is no large decrease in ozone levels and consequently no sudden increase in UVI levels. With fixed GHG, we observed a delayed return of ozone to 1960 values, with a corresponding pattern of change observed on UVI, and looking at the UVI difference between 2090s values and 1960s values, we found an 8 % increase in the tropical belt during the summer of each hemisphere. Finally we show that, while in the Southern Hemisphere the UVI is mainly driven by total ozone column, in the Northern Hemisphere both total ozone column and aerosol optical depth drive UVI levels, with aerosol optical depth having twice as much influence on the UVI as total ozone column does.

Domaines: Physique [physics]

Kevin Lamy, Thierry Portafaix, Beatrice Josse, Colette Brogniez, Sophie Godin-Beekmann, et al.. Ultraviolet radiation modelling using output from the chemistry climate model initiative. Atmospheric Chemistry and Physics Discussions, 2019, Atmospheric Chemistry and Physics Discussions, 19, pp.10087-10110. ⟨10.5194/acp-2018-525⟩. ⟨hal-04478230⟩