Combining Meteosat-10 satellite image data with GPS tropospheric path delays to estimate regional integrated water vapor (IWV) distribution

Leontiev, Anton; Reuveni, Yuval

doi:https://doi.org/10.5194/amt-10-537-2017

Articles | Volume 10, issue 2

https://doi.org/10.5194/amt-10-537-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

Advanced Global Navigation Satellite Systems tropospheric...

https://doi.org/10.5194/amt-10-537-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 10, issue 2

Research article

|

14 Feb 2017

Research article |

| 14 Feb 2017

Combining Meteosat-10 satellite image data with GPS tropospheric path delays to estimate regional integrated water vapor (IWV) distribution

Anton Leontiev and Yuval Reuveni

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Final revised paper (published on 14 Feb 2017)
Preprint (discussion started on 10 Aug 2016)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Evaluation review of the manuscript amt-2016-217 “Combining METEOSAT-10 satellite image data with GPS tropospheric path delays to estimate regional Integrated Water Vapor (IWV) distribution by A. Leontiev and Y. Reuveni', Anonymous Referee #2, 29 Aug 2016
- AC1: 'Answer to Reviewer#1', Yuval Reuveni, 03 Nov 2016
RC2: 'referee comment', Anonymous Referee #1, 07 Sep 2016
- AC2: 'Answer to Reviewer#2', Yuval Reuveni, 03 Nov 2016
RC3: 'Reviewer Report', Anonymous Referee #3, 09 Sep 2016
- AC3: 'Answer to Reviewer#3', Yuval Reuveni, 03 Nov 2016

Short summary

Here we present the use of GPS tropospheric zenith path delays combined with METEOSAT-10 water vapor (WV) and surface temperature pixel intensity values in order to obtain absolute integrated water vapor map distribution. The results show good agreement between the suggested strategies compared with available radiosonde precipitable water vapor absolute values. This can provide unprecedented WV temporal and special distribution, which can be used as accurate initial conditions in weather models.