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R package bLSmodelR
The R package bLSmodelR provides functions to set up and run a backward Lagrangian stochastic (bLS) dispersion model with the statistical software R.
Characteristics
- First-order Lagrangian stochastic model running in backward temporal mode
- Assumes horizontally uniform and vertically varying Gaussian turbulence
- Uses generalized Langevin equations for trajectory calculations
- Calculates concentration-to-emission (C/E) relationships from trajectory ensemble analysis
- Does not model deposition or chemical reactions
Availability
An up-to-date version of the package is available on GitHub:
https://github.com/ChHaeni/bLSmodelR
References
- Flesch et al. (1995, 2004): Backward-time Lagrangian stochastic methods
- Flesch (1996): Emission estimation from trace gas observations