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

@inproceedings{Deng2017TowardRT,
  title={Toward reduced transport errors in a high resolution urban CO2 inversion system},
  author={Aijun Deng and Thomas Lauvaux and Kenneth R. Davis and Brian John Gaudet and Natasha L. Miles and Sandra J. Richardson and Kai Wu and Daniel Perez Sarmiento and R. Michael Hardesty and Timothy A. Bonin and Wm. Alan Brewer and Kevin R. Gurney},
  year={2017}
}
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 2 emission product Hestia to… CONTINUE READING

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