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

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

doi:https://doi.org/10.5194/gmd-10-3425-2017

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

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Final revised paper (published on 19 Sep 2017)
Preprint (discussion started on 02 Dec 2016)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

SC1: 'Executive Editor Comment on "Influence of Geographic Coordinate System on Weather Simulations of Atmospheric Emissions"', Astrid Kerkweg, 12 Dec 2016
- AC1: 'Reply to Dr. Kerkweg', Yanni Cao, 10 Feb 2017
RC1: 'Referee report on the paper gmd-2016-253', Anonymous Referee #1, 15 Feb 2017
RC2: 'Influence of Geographic Coordinate System on Weather Simulations of Atmospheric Emissions', Anonymous Referee #2, 22 Feb 2017

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Anna Wenzel on behalf of the Authors (29 May 2017) Author's response

ED: Publish subject to minor revisions (Editor review) (12 Jun 2017) by Alexander Archibald

AR by Yanni Cao on behalf of the Authors (23 Jun 2017) Author's response Manuscript

ED: Publish as is (27 Jun 2017) by Alexander Archibald

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.