The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Coupled weather research and forecasting–stochastic time-inverted lagrangian transport (WRF–STILT) model
Open accessAbstract
This paper describes the coupling between a mesoscale numerical weather prediction model, the Weather Research and Forecasting (WRF) model, and a Lagrangian Particle Dispersion Model, the Stochastic Time-Inverted Lagrangian Transport (STILT) model. The primary motivation for developing this coupled model has been to reduce transport errors in continental-scale top–down estimates of terrestrial greenhouse gas fluxes. Examples of the model’s application are shown here for backward trajectory computations originating at CO2 measurement sites in North America. Owing to its unique features, including meteorological realism and large support base, good mass conservation properties, and a realistic treatment of convection within STILT, the WRF–STILT model offers an attractive tool for a wide range of applications, including inverse flux estimates, flight planning, satellite validation, emergency response and source attribution, air quality, and planetary exploration.
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Citations
Cites
A Description of the Advanced Research WRF Version 2
Skamarock, W., Klemp, J., Dudhia, J., Gill, D., Barker, D., & Wang, W. (2005) · NSF National Center for Atmospheric Research · doi:10.5065/d6dz069t · Cited by 2,504 · cited 3×
“2 of the Advanced Research WRF (ARW) (Skamarock et al. 2005), with the following physics”
BackgroundMethodInfluential
Cited by
Anthropogenic emissions of methane in the United States
Miller, S. M., Wofsy, S. C., Michalak, A. M., Kort, E. A., Andrews, A. E., Biraud, S. C., Dlugokencky, E. J., Eluszkiewicz, J., Fischer, M. L., Janssens-Maenhout, G., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1314392110 · Cited by 538
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Metadata
- Authors
- Nehrkorn, T., Eluszkiewicz, J., Wofsy, S. C., Lin, J. C., Gerbig, C., Longo, M., & Freitas, S.
- Venue
- Meteorology and Atmospheric Physics
- Published
- 2010-05-05
- Volume
- 107
- Issue
- 1-2
- Pages
- 51-64
- ISSN
- 0177-7971 (ISSN-L)
- 1436-5065
- OpenAlex
- W2087662098
- Cited by
- 189
- References
- 1
- FWCI
- 6.15
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Coupled weather research and forecasting–stochastic time-inverted lagrangian transport (WRF–STILT) model. https://app.cochat.ai/papers/10.1007/s00703-010-0068-x
- The paper
- Nehrkorn, T., Eluszkiewicz, J., Wofsy, S. C., Lin, J. C., Gerbig, C., Longo, M., & Freitas, S. (2010). Coupled weather research and forecasting–stochastic time-inverted lagrangian transport (WRF–STILT) model. Meteorology and Atmospheric Physics. https://doi.org/10.1007/s00703-010-0068-x
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
