Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 11, issue 7
Articles | Volume 11, issue 7
https://doi.org/10.5194/gmd-11-2897-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-2897-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 7
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

Viewed

Total article views: 3,807 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,642 1,080 85 3,807 216 82 94
  • HTML: 2,642
  • PDF: 1,080
  • XML: 85
  • Total: 3,807
  • Supplement: 216
  • BibTeX: 82
  • EndNote: 94
Views and downloads (calculated since 22 Dec 2017)
Cumulative views and downloads (calculated since 22 Dec 2017)

Viewed (geographical distribution)

Total article views: 3,807 (including HTML, PDF, and XML) Thereof 3,506 with geography defined and 301 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 25 Apr 2024
Download
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.
Read more