The goal of Dr. Kleiman's thesis was to measure and, thereby, deduce the emissions of some trace short-lived reactive organochlorine gases which have health and environmental implications. For this effort, he personally designed and installed a complex automated instrument at a field station in Nahant to yield a unique dataset of high-frequency concentration measurements for these gases. He then utilized an innovative approach using calculated Lagrangian back-trajectories and a recursive weighted least squares filter to deduce regional emissions of these gases. He then compared these emissions to those deduced from industry information. He demonstrated that this new approach provides an important independent observation-based method for deducing regional emissions. He showed that this method yielded reasonable agreement with industry-based estimates in some but not all cases, thus pinpointing possible errors in the industry-based approach. With this work, Gary Kleiman has shown the capability to work all the way from producing difficult yet very high quality observations, to a theoretical analysis of these measurements to yield a new approach for deducing regional emissions of short-lived environmentally important trace gases. This combination of accomplishments deserves the special recognition of the Rossby Award.