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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

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].

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    Date Created
    • 2017-05-23
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  • Text
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    Identifier
    • Digital object identifier: 10.1525/elementa.133
    • Identifier Type
      International standard serial number
      Identifier Value
      2325-1026
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    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

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