A near-field tool for simulating the upstream influence of atmospheric observations : The Stochastic Time-Inverted Lagrangian Transport ( STILT ) model

@inproceedings{Lin2003ANT,
  title={A near-field tool for simulating the upstream influence of atmospheric observations : The Stochastic Time-Inverted Lagrangian Transport ( STILT ) model},
  author={John C Lin and Christoph Gerbig and Steven C. Wofsy and Arlyn E. Andrews and Bruce C. Daube and Kenneth J. Davis and C. A. Grainger},
  year={2003}
}
[1] We introduce a tool to determine surface fluxes from atmospheric concentration data in the midst of distributed sources or sinks over land, the Stochastic Time-Inverted Lagrangian Transport (STILT) model, and illustrate the use of the tool with CO2 data over North America. Anthropogenic and biogenic emissions of trace gases at the surface cause large variations of atmospheric concentrations in the planetary boundary layer (PBL) from the ‘‘near field,’’ where upstream sources and sinks have… CONTINUE READING
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