Ionospheric assimilation of radio occultation and ground-based GPS data using non-stationary background model error covariance

Lin, C. Y.; Matsuo, T.; Liu, J. Y.; Lin, C. H.; Tsai, H. F.; Araujo-Pradere, E. A.

doi:https://doi.org/10.5194/amt-8-171-2015

Articles | Volume 8, issue 1

https://doi.org/10.5194/amt-8-171-2015

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

Special issue:

Observing Atmosphere and Climate with Occultation Techniques...

https://doi.org/10.5194/amt-8-171-2015

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

Articles | Volume 8, issue 1

Research article

|

12 Jan 2015

Research article |

| 12 Jan 2015

Ionospheric assimilation of radio occultation and ground-based GPS data using non-stationary background model error covariance

C. Y. Lin, T. Matsuo, J. Y. Liu, C. H. Lin, H. F. Tsai, and E. A. Araujo-Pradere

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Final revised paper (published on 12 Jan 2015)
Preprint (discussion started on 14 Mar 2014)

Interactive discussion

Status: closed

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

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- Supplement

RC C927: 'comments', Anonymous Referee #1, 14 May 2014
- AC C1163: 'Response to comments by Referee #1', Jann-Yenq Liu, 03 Jun 2014
RC C1254: 'Review', Anonymous Referee #2, 08 Jun 2014
- AC C1508: 'Response to comments by Referee #2', Jann-Yenq Liu, 03 Jul 2014

Short summary

This study presents a new approach to assimilate FORMOSAT-3/COSMIC radio occultation (RO) slant total electron content (TEC) data as well as ground-based GPS slant TEC data into the International Reference Ionosphere to reconstruct 3-D ionospheric election density structure. Our new ionospheric data assimilation model that employs the location-dependent background model error covariance outperforms the earlier assimilation model with the location-independent background model error covariance.