Photolysis rates in the troposphere are greatly affected by the presence of
cloud and aerosol layers. Yet, the spatial variability of these layers alo
ng with the difficulty of multiple-scattering calculations for large partic
les makes their inclusion in 3-D chemical transport models computationally
very expensive. This study presents a flexible and accurate photolysis sche
me, Fast-J, which calculates photolysis rates in the presence of an arbitra
ry mix of cloud and aerosol layers. The algorithm is sufficiently fast to a
llow the scheme to be incorporated into 3-D global chemical transport model
s and have photolysis rates updated hourly. It enables tropospheric chemist
ry simulations to include directly the physical properties of the scatterin
g and absorbing particles in the column, including the full, untruncated sc
attering phase function and the total, uncorrected optical depth. The Fast-
J scheme is compared with earlier methods that have been used in 3-D models
to parameterize the effects of clouds on photolysis rates. The impact of F
ast-J on tropospheric ozone chemistry is demonstrated with the UCI troposph
eric CTM.