Regional data assimilation of multi-spectral MOPITT observations of CO over North America

Chemical transport models (CTMs) driven with high-resolution meteorological fields can better resolve small-scale processes, such as frontal lifting or deep convection, and thus improve the simulation and emission estimates of tropospheric trace gases. In this work, we explore the use of the GEOS-Chem four-dimensional variational (4D-Var) data assimilation system with the nested high-resolution version of the model (0.5° ×

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Copyright Author(s) 2015. This work is distributed under the Creative Commons Attribution 3.0 License.
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Author Jiang, Z.
Jones, D.
Worden, J.
Worden, Helen
Henze, D.
Wang, Y.
Publisher UCAR/NCAR - Library
Publication Date 2015-06-19T00:00:00
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Topic Category geoscientificInformation
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Metadata Date 2023-08-18T19:00:05.778602
Metadata Record Identifier edu.ucar.opensky::articles:16813
Metadata Language eng; USA
Suggested Citation Jiang, Z., Jones, D., Worden, J., Worden, Helen, Henze, D., Wang, Y.. (2015). Regional data assimilation of multi-spectral MOPITT observations of CO over North America. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d75d8t17. Accessed 21 June 2025.

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