A replacement for simple back trajectory calculations in the interpretation of atmospheric trace substance measurements

By Andreas Stohla, Sabine Eckhardta, Caroline Forstera, Paul Jamesa, Nicole Spichtingera, Petra Seibertb. 2002

244 citations recorded by the source corpus.

Subfields: Atmospheric Science, Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/0e2f580f8f09adbf137bd8584721a386acf8cb78

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. I. Pisso
2. R. Easter
3. P. Seibert
4. Andreas Stohl

In Environmental Engineering

1. I. Pisso
2. Andreas Stohl
3. John F. Burkhart

In Global and Planetary Change

1. I. Pisso
2. Andreas Stohl
3. P. Seibert
4. R. Easter
5. John F. Burkhart

Citations in the corpus

• The Lagrangian particle dispersion model FLEXPART-WRF version 3.1 (2013, methodology): “FLEXPART has been validated using controlled tracer experiments (Stohl et al., 1998; Forster et al., 2007) and using tracers of opportunity, such as air pollution (Stohl and Trick, 1999; Stohl et al., 2002, 2003b, 2004; Forster et al., 2001; Spichtinger et al., 2001).”
• NOAA’s HYSPLIT Atmospheric Transport and Dispersion Modeling System (2015, unknown): “However, coupling the back-trajectory calculation with a Lagrangian dispersion component can produce a more realistic depiction of the link between the concentrations at the receptor and the sources influencing it (Stohl et al. 2002; Lin et al. 2003).”