Error assessment of satellite-derived lead fraction in the Arctic

Ivanova, Natalia; Rampal, Pierre; Bouillon, Sylvain

doi:https://doi.org/10.5194/tc-10-585-2016

Articles | Volume 10, issue 2

https://doi.org/10.5194/tc-10-585-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/tc-10-585-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 10, issue 2

Research article

|

14 Mar 2016

Research article |

| 14 Mar 2016

Error assessment of satellite-derived lead fraction in the Arctic

Natalia Ivanova, Pierre Rampal, and Sylvain Bouillon

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Final revised paper (published on 14 Mar 2016)
Preprint (discussion started on 18 Nov 2015)

Interactive discussion

Status: closed

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

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- Supplement

RC C2470: 'Review of "Assessment of error in satellite derived lead fraction in Arctic"', Anonymous Referee #1, 11 Dec 2015
- AC C2968: 'Response to the comments of reviewer #1', Natalia Ivanova, 08 Feb 2016
RC C2529: 'Review of "Assessment of error in satellite derived lead fraction in Arctic"', Anonymous Referee #2, 21 Dec 2015
- AC C2970: 'Response to the comments of reviewer #2', Natalia Ivanova, 08 Feb 2016

Peer-review completion

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

AR by Natalia Ivanova on behalf of the Authors (15 Feb 2016) Author's response Manuscript

ED: Publish subject to minor revisions (Editor review) (29 Feb 2016) by Christian Haas

AR by Natalia Ivanova on behalf of the Authors (01 Mar 2016) Author's response Manuscript

ED: Publish as is (02 Mar 2016) by Christian Haas

Short summary

Accurate observations of lead fraction are of high importance for model evaluation and/or assimilation into models. In this work, consistent quantitative error estimation of an existing lead fraction data set obtained from passive microwave observations is completed using Synthetic Aperture Radar data. A significant bias in the data set is found, and possible improvement in the methodology is suggested, so that the pixel-wise error is reduced by a factor of 2 on average.