Characterizing permafrost active layer dynamics and sensitivity to landscape spatial heterogeneity in Alaska

Yi, Yonghong; Kimball, John S.; Chen, Richard H.; Moghaddam, Mahta; Reichle, Rolf H.; Mishra, Umakant; Zona, Donatella; Oechel, Walter C.

doi:https://doi.org/10.5194/tc-12-145-2018

Articles | Volume 12, issue 1

https://doi.org/10.5194/tc-12-145-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/tc-12-145-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 12, issue 1

Research article

|

16 Jan 2018

Research article |

| 16 Jan 2018

Characterizing permafrost active layer dynamics and sensitivity to landscape spatial heterogeneity in Alaska

Yonghong Yi, John S. Kimball, Richard H. Chen, Mahta Moghaddam, Rolf H. Reichle, Umakant Mishra, Donatella Zona, and Walter C. Oechel

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Final revised paper (published on 16 Jan 2018)
Supplement to the final revised paper
Preprint (discussion started on 30 May 2017)
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

RC1: 'Comments', Anonymous Referee #1, 21 Jul 2017
RC2: 'Referee comments for tc-2017-87', Anonymous Referee #2, 02 Nov 2017
AC1: 'Final response for manuscript tc-2017-87', Yonghong Yi, 07 Nov 2017

Peer-review completion

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

AR by Yonghong Yi on behalf of the Authors (09 Nov 2017) Author's response Manuscript

ED: Publish subject to minor revisions (review by editor) (25 Nov 2017) by Peter Morse

AR by Yonghong Yi on behalf of the Authors (27 Nov 2017) Author's response Manuscript

ED: Publish subject to technical corrections (28 Nov 2017) by Peter Morse

AR by Yonghong Yi on behalf of the Authors (28 Nov 2017) Manuscript

Short summary

An important feature of the Arctic is large spatial heterogeneity in active layer conditions. We developed a modeling framework integrating airborne longwave radar and satellite data to investigate active layer thickness (ALT) sensitivity to landscape heterogeneity in Alaska. We find uncertainty in spatial and vertical distribution of soil organic carbon is the largest factor affecting ALT accuracy. Advances in remote sensing of soil conditions will enable more accurate ALT predictions.