Radiometric correction of observations from microwave humidity sounders

Moradi, Isaac; Beauchamp, James; Ferraro, Ralph

doi:https://doi.org/10.5194/amt-11-6617-2018

Articles | Volume 11, issue 12

https://doi.org/10.5194/amt-11-6617-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-11-6617-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 12

Research article

|

17 Dec 2018

Research article |

| 17 Dec 2018

Radiometric correction of observations from microwave humidity sounders

Isaac Moradi, James Beauchamp, and Ralph Ferraro

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Final revised paper (published on 17 Dec 2018)
Preprint (discussion started on 27 Aug 2018)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review AMT-2018-252', Anonymous Referee #1, 28 Sep 2018
- AC1: 'Reponse to the comments', Isaac Moradi, 12 Nov 2018
SC1: 'Discrepancy between Channel 5 in NOAA-16 and -17', Martin Burgdorf, 11 Oct 2018
- AC3: 'Response to the intercatrive comment', Isaac Moradi, 12 Nov 2018
RC2: 'Comments', Anonymous Referee #2, 22 Oct 2018
- AC2: 'response to the comments', Isaac Moradi, 12 Nov 2018

Peer-review completion

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

AR by Isaac Moradi on behalf of the Authors (12 Nov 2018) Manuscript

ED: Publish subject to technical corrections (26 Nov 2018) by Murray Hamilton

AR by Isaac Moradi on behalf of the Authors (27 Nov 2018) Author's response Manuscript

Short summary

Microwave (MW) satellite instruments are used for a variety of applications such as retrieving geophysical variables such as temperature and humidity. They are also assimilated into NWP models to improve the weather forecast. However, MW instruments are subject to radiometric and geometric errors. This study evaluates the observations from several MW instruments for radiometric errors and provides correction coefficients for the data that are biased.