A genetic algorithm is paired with a Lagrangian puff atmospheric model to reconstruct the source characteristics of an atmospheric release. Observed meteorological and ground concentration measurements from the real-world Dipole Pride controlled release experiment are used to test the methodology. A sensitivity study is performed to quantify the relative contribution of the number and location ...

Stepwise multiple regression analyses are used t o explore the statistical (linear regression) relationships between satellite-observed earth-atmosphere emission spectra and meteorological parameters. The stepwise regression technique permits screening of a large number of potentially useful spectral observations (predictors) to isolate those few tha t contribute most to the explanation of the ...

Long time series of Arctic atmospheric measurements are assembled into meteorological categories that can serve as test cases for climate model evaluation. The meteorological categories are established by applying an objective k-means clustering algorithm to 11 years of standard surface-meteorological observations collected from 1 January 2000 to 31 December 2010 at the North Slope of Alaska (N...