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Toward reduced transport errors in a high resolution urban CO2 inversion system

Abstract We present a high-resolution atmospheric inversion system combining a Lagrangian Particle Dispersion Model (LPDM) and the Weather Research and Forecasting model (WRF), and test the impact of assimilating meteorological observation on transport accuracy. A Four Dimensional Data Assimilation (FDDA) technique continuously assimilates meteorological observations from various observing systems into the transport modeling system, and is coupled to the high resolution CO[subscript 2] emission product Hestia to simulate the atmospheric mole fractions of CO[subscript 2]. For the Indianapolis Flux Experiment (INFLUX) project, we evaluated the impact of assimilating different meteorological observation systems on the linearized adjoint solutions and t... (more)
Created Date 2017-05-23
Contributor Deng, Aijun (Author) / Lauvaux, Thomas (Author) / Davis, Kenneth J. (Author) / Gaudet, Brian J. (Author) / Miles, Natasha (Author) / Richardson, Scott J. (Author) / Wu, Kai (Author) / Sarmiento, Daniel P. (Author) / Hardesty, R. Michael (Author) / Bonin, Timothy A. (Author) / Brewer, W. Alan (Author) / Gurney, Kevin (ASU author) / College of Liberal Arts and Sciences / School of Life Sciences
Type Text
Extent 20 pages
Language English
Identifier DOI: 10.1525/elementa.133 / ISSN: 2325-1026
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Citation Deng, A., Lauvaux, T., Davis, K. J., Gaudet, B. J., Miles, N., Richardson, S. J., . . . Gurney, K. R. (2017). Toward reduced transport errors in a high resolution urban CO2 inversion system. Elementa: Science of the Anthropocene, 5(0), 20. doi:10.1525/elementa.133
Note The final version of this article, as published in Elementa: Science of the Anthropocene, can be viewed online at:
Collaborating Institutions ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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