Microwave scattering coefficient of snow in MEMLS and DMRT-ML revisited: the relevance of sticky hard spheres and tomography-based estimates of stickiness

Löwe, H.; Picard, G.

doi:https://doi.org/10.5194/tc-9-2101-2015

Articles | Volume 9, issue 6

https://doi.org/10.5194/tc-9-2101-2015

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

https://doi.org/10.5194/tc-9-2101-2015

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

Articles | Volume 9, issue 6

Research article

|

16 Nov 2015

Research article |

| 16 Nov 2015

Microwave scattering coefficient of snow in MEMLS and DMRT-ML revisited: the relevance of sticky hard spheres and tomography-based estimates of stickiness

H. Löwe and G. Picard

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Final revised paper (published on 16 Nov 2015)
Preprint (discussion started on 17 Apr 2015)

Interactive discussion

Status: closed

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

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RC C716: 'Comments', Christian Mätzler, 07 May 2015
- AC C1321: 'Author replies', Henning Loewe, 27 Jul 2015
RC C930: 'Review for manuscript tcd-9-2495-2015 « Microwave scattering coefficient of snow in MEMLS and DMRT-ML revisited: the relevance of sticky hard sphere and tomography-based estimates of stickiness »', Anonymous Referee #2, 29 May 2015
- AC C1322: 'Author replies', Henning Loewe, 27 Jul 2015

Peer-review completion

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

AR by Henning Löwe on behalf of the Authors (09 Oct 2015) Author's response Manuscript

ED: Publish as is (13 Oct 2015) by Ross Brown

AR by Henning Löwe on behalf of the Authors (22 Oct 2015)

Short summary

The paper establishes a theoretical link between two widely used microwave models for snow. The scattering formulations from both models are unified by reformulating their microstructure models in a common framework. The results show that the scattering formulations can be considered equivalent, if exactly the same microstructure model is used. The paper also provides a method to measure a hitherto unknown input parameter for the microwave models from tomography images of snow.