title: AgDRIFT: a model for estimating near-field spray drift from aerial applications.
abstract: The aerial spray prediction model AgDRIFT embodies the computational engine found in the near-wake Lagrangian model AGricultural DISPersal (AGDISP) but with several important features added that improve the speed and accuracy of its predictions. This article summarizes those changes, describes the overall analytical approach to the model, and details model implementation, application, limits, and computational utilities.
authors.affiliation: Continuum Dynamics, Ewing, New Jersey 08618, USA. milt@continuum-dynamics.com
authors.forename: Milton E
authors.initials: ME
authors.lastname: Teske
authors.forename: Sandra L
authors.initials: SL
authors.lastname: Bird
authors.forename: David M
authors.initials: DM
authors.lastname: Esterly
authors.forename: Thomas B
authors.initials: TB
authors.lastname: Curbishley
authors.forename: Scott L
authors.initials: SL
authors.lastname: Ray
authors.forename: Steven G
authors.initials: SG
authors.lastname: Perry
mesh_terms: D000383:Agriculture / Q000706:statistics & numerical data*; D000392:Air Movements; D005544:Forecasting; D008962:Models, Theoretical; D010575:Pesticides / Q000032:analysis*; D012680:Sensitivity and Specificity; D012984:Software
chemical_list: D010575:Pesticides