Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 9, issue 7
Articles | Volume 9, issue 7
https://doi.org/10.5194/gmd-9-2441-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-9-2441-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 9, issue 7
Methods for assessment of models
 | 
22 Jul 2016
Methods for assessment of models |  | 22 Jul 2016

Quantitative evaluation of numerical integration schemes for Lagrangian particle dispersion models

Huda Mohd. Ramli and J. Gavin Esler

Viewed

Total article views: 3,030 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,094 813 123 3,030 185 171
  • HTML: 2,094
  • PDF: 813
  • XML: 123
  • Total: 3,030
  • BibTeX: 185
  • EndNote: 171
Views and downloads (calculated since 15 Mar 2016)
Cumulative views and downloads (calculated since 15 Mar 2016)

Cited

Saved (preprint)

Latest update: 01 Jul 2025
Download
Short summary
A rigorous methodology is presented to assess numerical integration schemes for stochastic models in atmospheric dispersion known as Lagrangian particle dispersion models. A series of one-dimensional test problems modelling dispersion in the atmospheric boundary layer is used to evaluate commonly used stochastic integration schemes. The results allow for optimal time-step selection for each scheme and recommendations to be made for use in operational models.
Read more
Share