Atmospheric transport simulations in support of the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE)

Henderson, J. M.; Eluszkiewicz, J.; Mountain, M. E.; Nehrkorn, T.; Chang, R. Y.-W.; Karion, A.; Miller, J. B.; Sweeney, C.; Steiner, N.; Wofsy, S. C.; Miller, C. E.

doi:https://doi.org/10.5194/acp-15-4093-2015

Articles | Volume 15, issue 8

https://doi.org/10.5194/acp-15-4093-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/acp-15-4093-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 15, issue 8

Research article

|

21 Apr 2015

Research article |

| 21 Apr 2015

Atmospheric transport simulations in support of the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE)

J. M. Henderson, J. Eluszkiewicz, M. E. Mountain, T. Nehrkorn, R. Y.-W. Chang, A. Karion, J. B. Miller, C. Sweeney, N. Steiner, S. C. Wofsy, and C. E. Miller

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Final revised paper (published on 21 Apr 2015)
Supplement to the final revised paper
Preprint (discussion started on 30 Oct 2014)
Supplement to the preprint

Interactive discussion

Status: closed

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

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- Supplement

RC C9954: 'RC: Review of acp-2014-747', Anonymous Referee #1, 09 Dec 2014
RC C11432: 'Review of "Atmospheric transport simulations in support of the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE)" by Henderson et al.', Anonymous Referee #2, 22 Jan 2015
- AC C12462: 'Author Response to Reviewers' Comments', John Henderson, 27 Feb 2015

Peer-review completion

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

AR by John Henderson on behalf of the Authors (28 Feb 2015) Author's response Manuscript

ED: Publish as is (15 Mar 2015) by Martin Heimann

AR by John Henderson on behalf of the Authors (25 Mar 2015)

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Short summary

This paper describes the atmospheric modeling that underlies the science analysis for the NASA Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE). Summary statistics of the WRF meteorological model performance on a 3.3 km grid indicate good overall agreement with surface and radiosonde observations. The high quality of the WRF meteorological fields inspires confidence in their use to drive the STILT transport model for the purpose of computing surface influence fields (“footprints”).