EmissV: A preprocessor for WRF-Chem model

Abstract

Air quality models are tools capable to predict the physical and chemical processes that occur in atmosphere affecting the atmospheric composition, such as wind advection, turbulent diffusion, wet and dry deposition, chemical reactions, photolysis, anthropogenic and biogenic emission processes. These models need input data containing information about atmosphere (usually from a global atmospheric model), terrestrial data (usually for the models maintainer) and emissions (that comes from air quality pollution inventories). EmissV is a code written to create emissions input for these atmospheric models.