▁account . ▁ ▁So il ▁type , ▁veget ation ▁type , ▁and ▁soil ▁mo ist ure ▁all ▁determine ▁how ▁much ▁radiation ▁goes ▁into ▁war ming ▁and ▁how ▁much ▁mo ist ure ▁is ▁drawn ▁up ▁into ▁the ▁adjacent ▁atmosphere . ▁ ▁Thus , ▁they ▁are ▁important ▁to ▁parameter ize . ▁ ▁Air ▁quality ▁▁ ▁Air ▁quality ▁forec ast ing ▁attempts ▁to ▁predict ▁when ▁the ▁concentr ations ▁of ▁poll ut ants ▁will ▁att ain ▁levels ▁that ▁are ▁ha z ard ous ▁to ▁public ▁health . ▁ ▁The ▁concentration ▁of ▁poll ut ants ▁in ▁the ▁atmosphere ▁is ▁determined ▁by ▁transport , ▁diffusion , ▁chemical ▁transformation , ▁and ▁ground ▁de position . ▁ ▁Al ong side ▁poll ut ant ▁source ▁and ▁terrain ▁information , ▁these ▁models ▁require ▁data ▁about ▁the ▁state ▁of ▁the ▁fluid ▁flow ▁in ▁the ▁atmosphere ▁to ▁determine ▁its ▁transport ▁and ▁diffusion . ▁ ▁Within ▁air ▁quality ▁models , ▁parameter izations ▁take ▁into ▁account ▁atmos pher ic ▁em issions ▁from ▁multiple ▁relatively ▁tiny ▁sources ▁( e . g . ▁roads , ▁fields , ▁fact ories ) ▁within ▁specific ▁grid ▁boxes . ▁ ▁Problem s ▁with ▁increased ▁resolution ▁▁ ▁As ▁model ▁resolution ▁increases , ▁errors ▁associated ▁with ▁mo ist ▁con ve ct ive ▁processes ▁are ▁increased ▁as ▁assumptions ▁which ▁are ▁statist ically ▁valid ▁for ▁larger ▁grid ▁boxes ▁become ▁question able ▁once ▁the ▁grid ▁boxes ▁shr ink ▁in ▁scale ▁towards ▁the ▁size ▁of ▁the ▁con ve ction ▁itself . ▁ ▁At ▁resolution s ▁greater ▁than ▁T 6 3 9 , ▁which ▁has ▁a ▁grid ▁box ▁dimension ▁of