Coupled weather research and forecasting–stochastic time-inverted lagrangian transport (WRF–STILT) model

By T. Nehrkorn, J. Eluszkiewicz, S. Wofsy, John C. Lin, C. Gerbig, M. Longo, S. Freitas. 2010

221 citations recorded by the source corpus.

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.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/5d559dc190adb7e31fe33124ea5f3008be638664

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In Atmospheric Science

1. Roland R. Draxler
2. I. Pisso

In Global and Planetary Change

1. Ariel F. Stein
2. Roland R. Draxler
3. I. Pisso

Citations in the corpus

• The Lagrangian particle dispersion model FLEXPART-WRF version 3.1 (2013, unknown): “For more details the reader is referred to the original work by Brioude et al. (2012b) and Nehrkorn et al. (2010).”
• NOAA’s HYSPLIT Atmospheric Transport and Dispersion Modeling System (2015, methodology): “Moreover, as an alternative to the instantaneous wind fields generally used to drive the transport and dispersion simulations, WRF also produces time-averaged, mass-coupled, and horizontal and vertical velocities (Nehrkorn et al. 2010; Hegarty et al. 2013) that are automatically used by HYSPLIT if t”