Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 10, issue 9
Articles | Volume 10, issue 9
https://doi.org/10.5194/gmd-10-3425-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-3425-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 10, issue 9
Development and technical paper
 | 
19 Sep 2017
Development and technical paper |  | 19 Sep 2017

Analysis of errors introduced by geographic coordinate systems on weather numeric prediction modeling

Yanni Cao, Guido Cervone, Zachary Barkley, Thomas Lauvaux, Aijun Deng, and Alan Taylor

Viewed

Total article views: 5,066 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,741 1,198 127 5,066 135 147
  • HTML: 3,741
  • PDF: 1,198
  • XML: 127
  • Total: 5,066
  • BibTeX: 135
  • EndNote: 147
Views and downloads (calculated since 02 Dec 2016)
Cumulative views and downloads (calculated since 02 Dec 2016)

Viewed (geographical distribution)

Total article views: 5,066 (including HTML, PDF, and XML) Thereof 4,758 with geography defined and 308 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Discussed (final revised paper)

Latest update: 14 Dec 2024
Download
Short summary
This research investigates the role and importance of reprojecting geographic information system layers used by weather numerical models as input by performing sensitivity studies of greenhouse gas transport and dispersion in northeastern Pennsylvania. To bridge the gap between geographic information system data and atmospheric models, this study presents an innovative approach by creating R code to automatically generate model input from geographic data and analyze the model output.
Read more