https://github.com/uataq/stilt

Stochastic Time-Inverted Lagrangian Transport model
https://github.com/uataq/stilt

atmospheric-science climate-science r

Last synced: 3 months ago
JSON representation

Stochastic Time-Inverted Lagrangian Transport model

• Host: GitHub
• URL: https://github.com/uataq/stilt
• Owner: uataq
• Created: 2016-07-08T22:37:37.000Z (over 8 years ago)
• Default Branch: main
• Last Pushed: 2024-05-01T02:29:35.000Z (6 months ago)
• Last Synced: 2024-07-13T12:28:03.527Z (4 months ago)
• Topics: atmospheric-science, climate-science, r
• Language: R
• Homepage: https://uataq.github.io/stilt/
• Size: 33.2 MB
• Stars: 46
• Watchers: 5
• Forks: 16
• Open Issues: 7
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• open-sustainable-technology - stilt - An open source Lagrangian particle dispersion model which is widely used to simulate the transport of pollution and greenhouse gases through the atmosphere. (Emissions / Emission Observation and Modeling)

README

        


  

    

  





  Stochastic Time-Inverted Lagrangian Transport model





  An open source Lagrangian particle dispersion model.





  

    

  

  

    

  

  

    

  



## Docs

[**STILT documentation**](https://uataq.github.io/stilt/)  

[Methods details](https://www.geosci-model-dev.net/11/2813/2018/)

## About

STILT would not be possible without the strong community of developers behind it. This distribution contains a completely redesigned STILT wrapper and proposes a centralized, collaborative platform for documentation and future development. Model development in the form of feature enhancements, documentation updates, bug fixes, or simple suggestions from the community are welcome. Contribution guidelines can be found [here](https://uataq.github.io/stilt/#/contribute).

### Relevant manuscripts

Loughner, C. P., Fasoli, B., Stein, A. F., Lin, J. C.: Incorporating features from the Stochastic Time-Inverted Lagrangian Transport (STILT) model into the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model: a unified dispersion model for time-forward and time-reversed applications, J. Appl. Meteorol. Climatol., [10.1175/JAMC-D-20-0158.1](https://doi.org/10.1175/JAMC-D-20-0158.1), 2021.

Fasoli, B., Lin, J. C., Bowling, D. R., Mitchell, L., and Mendoza, D.: Simulating atmospheric tracer concentrations for spatially distributed receptors: updates to the Stochastic Time-Inverted Lagrangian Transport model's R interface (STILT-R version 2), Geosci. Model Dev., [10.5194/gmd-11-2813-2018](https://doi.org/10.5194/gmd-11-2813-2018), 2018.

Stein, A. R., Draxler, R. R., Rolph, G. D., Stunder, B. J. B., and Cohen M. D.: NOAA’s HYSPLIT atmospheric transport and dispersion modeling system. Bull. Amer. Meteor. Soc., [10.1175/BAMS-D-14-00110.1](https://doi.org/10.1175/BAMS-D-14-00110.1), 2015.

Lin, J. C., Gerbig, C., Wofsy, S. C., Andrews, A. E., Daube, B. C., Davis, K. J. and Grainger, C. A.: A near-field tool for simulating the upstream influence of atmospheric observations: The Stochastic Time-Inverted Lagrangian Transport (STILT) model, J. Geophys. Res., [10.1029/2002JD003161](https://doi.org/10.1029/2002JD003161), 2003.