Computational Exposure Division, National Exposure Research
Laboratory, Office of Research and Development, U.S. Environmental
Protection Agency, Research Triangle Park, NC, USA
Department of Biomedical Engineering and Mechanics, Virginia
Polytechnic Institute and State University, Blacksburg, VA, USA
Robert C. Gilliam
Computational Exposure Division, National Exposure Research
Laboratory, Office of Research and Development, U.S. Environmental
Protection Agency, Research Triangle Park, NC, USA
Computational Exposure Division, National Exposure Research
Laboratory, Office of Research and Development, U.S. Environmental
Protection Agency, Research Triangle Park, NC, USA
Viewed
Total article views: 3,595 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
2,497
1,019
79
3,595
197
70
80
HTML: 2,497
PDF: 1,019
XML: 79
Total: 3,595
Supplement: 197
BibTeX: 70
EndNote: 80
Views and downloads (calculated since 22 Dec 2017)
Cumulative views and downloads
(calculated since 22 Dec 2017)
Total article views: 2,735 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
1,907
775
53
2,735
111
63
54
HTML: 1,907
PDF: 775
XML: 53
Total: 2,735
Supplement: 111
BibTeX: 63
EndNote: 54
Views and downloads (calculated since 16 Jul 2018)
Cumulative views and downloads
(calculated since 16 Jul 2018)
Total article views: 860 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
590
244
26
860
86
7
26
HTML: 590
PDF: 244
XML: 26
Total: 860
Supplement: 86
BibTeX: 7
EndNote: 26
Views and downloads (calculated since 22 Dec 2017)
Cumulative views and downloads
(calculated since 22 Dec 2017)
Viewed (geographical distribution)
Total article views: 3,595 (including HTML, PDF, and XML)
Thereof 3,297 with geography defined
and 298 with unknown origin.
Total article views: 2,735 (including HTML, PDF, and XML)
Thereof 2,458 with geography defined
and 277 with unknown origin.
Total article views: 860 (including HTML, PDF, and XML)
Thereof 839 with geography defined
and 21 with unknown origin.
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.
The U.S. Environmental Protection Agency is developing a new modeling system to investigate air...
