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

AR by Natalia Ivanova on behalf of the Authors (02 Mar 2016)

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.