Articles | Volume 11, issue 7
Geosci. Model Dev., 11, 2897–2922, 2018
https://doi.org/10.5194/gmd-11-2897-2018
Geosci. Model Dev., 11, 2897–2922, 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. et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Orren Russell Bullock on behalf of the Authors (06 Apr 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (25 Apr 2018) by James Maddison
RR by Anonymous Referee #2 (07 May 2018)
RR by Anonymous Referee #1 (08 May 2018)
ED: Publish subject to minor revisions (review by editor) (21 May 2018) by James Maddison
AR by Orren Russell Bullock on behalf of the Authors (24 May 2018)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (20 Jun 2018) by James Maddison
AR by Orren Russell Bullock on behalf of the Authors (20 Jun 2018)  Author's response    Manuscript
ED: Publish as is (28 Jun 2018) by James Maddison
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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.