The Swift Neurological Acceleration of Atmospheric Photochemistry and Aerosol Calculations (SNAPA)
An adequate photochemical mechanism to describe the evolution of ozone in the upper troposphere and lower stratosphere (UT/LS) in a computational model involves reactive nitrogen, hydrogen, halogens, hydrocarbons, and interactions with aerosols. Describing this complex interaction is computationally expensive, and applications are limited by the computational burden. Simulations are usually made tractable by using a coarse horizontal resolution (4o latitude x 5o longitude or greater) or by greatly reducing the interactions accounted for in the photochemical mechanism. These compromises also limit the scientific applications. Neural networks, multi-variate nonlinear machine learning algorithms, offer a means to obtain a fast, accurate solution to the stiff ordinary differential equations that comprise the photochemical calculations, thus making high resolution simulations including the complete photochemical mechanism possible.
Updates
- The first half-year progress meeting was help on April 7, 2005 and the slides are available here. To go to the next slide just click on the image.
- The first year report is available here.