MEMLS3&a: Microwave Emission Model of Layered Snowpacks adapted to include backscattering

Proksch, M.; Mätzler, C.; Wiesmann, A.; Lemmetyinen, J.; Schwank, M.; Löwe, H.; Schneebeli, M.

doi:https://doi.org/10.5194/gmd-8-2611-2015

Articles | Volume 8, issue 8

https://doi.org/10.5194/gmd-8-2611-2015

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

https://doi.org/10.5194/gmd-8-2611-2015

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

Articles | Volume 8, issue 8

Model description paper

|

24 Aug 2015

Model description paper |

| 24 Aug 2015

MEMLS3&a: Microwave Emission Model of Layered Snowpacks adapted to include backscattering

M. Proksch, C. Mätzler, A. Wiesmann, J. Lemmetyinen, M. Schwank, H. Löwe, and M. Schneebeli

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Final revised paper (published on 24 Aug 2015)
Preprint (discussion started on 06 Mar 2015)

Interactive discussion

Status: closed

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

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- Supplement

RC C379: 'Review MEMLS3&a: Microwave Emission Model of LayeredSnowpacks adapted to include backscattering', Anonymous Referee #1, 07 Apr 2015
RC C646: 'Comments', Anonymous Referee #2, 07 May 2015
AC C1343: 'MEMLS3&a: Microwave Emission Model of Layered Snowpacks adapted to include backscattering', Martin Proksch, 12 Jul 2015

Peer-review completion

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

AR by Martin Proksch on behalf of the Authors (27 Jul 2015) Author's response

ED: Publish as is (08 Aug 2015) by Nina Kirchner

AR by Martin Proksch on behalf of the Authors (11 Aug 2015)

Short summary

The measurement of snow properties on global scale relies on microwave remote sensing data. The interpretation of the data is however challenging. Here we introduce MEMLS3&a, an extension of the snow emission model MEMLS, to include a backscatter model for active microwave remote sensing. In MEMLS3&a, snow input parameters can be derived by objective measurement methods, which avoids fitting the scattering efficiency of snow. The model is validated with combined active and passive measurements.