Modeling the Zeeman effect in high-altitude SSMIS  channels for numerical weather prediction profiles: comparing a fast model and a line-by-line model

Larsson, Richard; Milz, Mathias; Rayer, Peter; Saunders, Roger; Bell, William; Booton, Anna; Buehler, Stefan A.; Eriksson, Patrick; John, Viju O.

doi:https://doi.org/10.5194/amt-9-841-2016

Articles | Volume 9, issue 2

https://doi.org/10.5194/amt-9-841-2016

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

https://doi.org/10.5194/amt-9-841-2016

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

Articles | Volume 9, issue 2

Research article

|

03 Mar 2016

Research article |

| 03 Mar 2016

Modeling the Zeeman effect in high-altitude SSMIS channels for numerical weather prediction profiles: comparing a fast model and a line-by-line model

Richard Larsson, Mathias Milz, Peter Rayer, Roger Saunders, William Bell, Anna Booton, Stefan A. Buehler, Patrick Eriksson, and Viju O. John

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Final revised paper (published on 03 Mar 2016)
Preprint (discussion started on 02 Oct 2015)

Interactive discussion

Status: closed

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

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RC C4222: 'Review of Larsson et al.', Anonymous Referee #2, 05 Dec 2015
RC C4460: 'Comments on Larsson et al. paper', Anonymous Referee #1, 22 Dec 2015
- AC C4965: 'Comments to:\\``Interactive comment on “Modeling the Zeeman effect in high altitude SSMIS channels for numerical weather prediction profiles: comparing a fast model and a line-by-line model” by R. Larsson et al.''\\by Anonymous Referee \#1', R. Larsson, 19 Jan 2016
AC C4955: 'Comments to:\\Interactive comment on “Modeling the Zeeman effect in high altitude SSMIS channels for numerical weather prediction profiles: comparing a fast model and a line-by-line model” by R. Larsson et al.\\by Anonymous Referee \#2', R. Larsson, 19 Jan 2016

Short summary

By modeling the Special Sensor Microwave Imager/Sounder's mesospheric measurements, inversions methods can be applied to retreive mesospheric temperatures. We compare the fast forward model used by Met Office with reference simulations and find that there is a reasonable agreement between both models and measurements. Thus we recommend that the fast model is used in data assimilation to improve mesospheric temperature retrievals.