Articles | Volume 11, issue 7
https://doi.org/10.5194/gmd-11-2897-2018
https://doi.org/10.5194/gmd-11-2897-2018
Model description paper
 | 
16 Jul 2018
Model description paper |  | 16 Jul 2018

Adding four-dimensional data assimilation by analysis nudging to the Model for Prediction Across Scales – Atmosphere (version 4.0)

Orren Russell Bullock Jr., Hosein Foroutan, Robert C. Gilliam, and Jerold A. Herwehe

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Cited articles

Anthes, R. A.: Data assimilation and initialization of hurricane prediction models, J. Atmos. Sci., 40, 702–719, 1974. 
Anthes, R. A., Hsie, E.-Y., and Kuo, Y.-H.: Description of the Penn State/NCAR Mesoscale Model version 4 (MM4), NCAR Tech. Note NCAR/TN-282+STR, 66 pp., 1987. 
Appel, K. W., Gilliam, R. C., Davis, N., Zubrow, A., and Howard, S. C.: Overview of the Atmospheric Model Evaluation Tool (AMET) v1.1 for evaluating meteorological and air quality models, Environ. Model. Softw., 26, 434–443, https://doi.org/10.1016/j.envsoft.2010.09.007, 2011. 
Bowden, J. H., Otte, T. L., Nolte, C. G., and Otte, M. J.: Examining interior grid nudging techniques using two-way nesting in the WRF model for regional climate modeling, J. Climate, 25, 2805–2823, https://doi.org/10.1175/JCLI-D-11-00167.1, 2012. 
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Short summary
The U.S. Environmental Protection Agency is developing a new modeling system to investigate air pollution pathways on a global scale. We plan to use the Model for Prediction Across Scales – Atmosphere (MPAS-A) to define the meteorology that affects air pollution transport and fate. In order to do so, MPAS-A must accurately reproduce historical weather conditions. This work demonstrates that our implementation of four-dimensional data assimilation by analysis nudging provides that capability.
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