%0 Journal Article
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%3 couple.pdf
%X 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.
%8 June
%N  1-2
%T Coupled Weather Research and Forecasting - Stochastic Time-Inverted Lagrangian Transport (WRF-STILT) Model
%@electronicmailaddress saulo.freitas@cptec.inpe.br
%@secondarytype PRE PI
%K particle dispersion model, atmospheric observations, cloud model, system, rams, parameterization, trajectories, emissions, ensemble, fluxes.
%@usergroup administrator
%@usergroup lattes
%@usergroup marciana
%@group
%@group
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%@group
%@group DMD-CPT-INPE-MCT-BR
%@e-mailaddress saulo.freitas@cptec.inpe.br
%@secondarykey INPE--PRE/
%@secondarymark B1_GEOCIÊNCIAS B1_INTERDISCIPLINAR
%F lattes: 9873289111461387 7 NehrkonElWoLiGeLoFr:2010:StTiLa
%U http://www.springerlink.com/content/21h6765l6g426485/fulltext.pdf
%@issn 0177-7971
%2 dpi.inpe.br/plutao@80/2010/06.25.15.44.02
%@affiliation Atmospher & Environm Res Inc, Lexington, MA USA
%@affiliation Harvard Univ, Cambridge, MA 02138 USA
%@affiliation Harvard Univ, Cambridge, MA 02138 USA
%@affiliation Univ Waterloo, Waterloo, ON N2L 3G1 Canada
%@affiliation Max Planck Inst Biogeochem, Jena, Germany
%@affiliation
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%B Meteorology and Atmospheric Physics
%P 51-64
%4 dpi.inpe.br/plutao@80/2010/06.25.15.44
%D 2010
%V 107
%@doi 10.1007/s00703-010-0068-x
%A Nehrkon, T.,
%A Eluszkiewicz, J.,
%A Wofsy, Steven,
%A Lin, John,
%A Gerbig, C.,
%A Longo, Marcos,
%A Freitas, Saulo Ribeiro de,
%@dissemination WEBSCI; PORTALCAPES; COMPENDEX.
%@area MET