High-resolution vertical total electron content maps based on multi-scale B-spline representations

Goss, Andreas; Schmidt, Michael; Erdogan, Eren; Görres, Barbara; Seitz, Florian

doi:https://doi.org/10.5194/angeo-37-699-2019

Articles | Volume 37, issue 4

https://doi.org/10.5194/angeo-37-699-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/angeo-37-699-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 37, issue 4

Regular paper

|

12 Aug 2019

Regular paper |

| 12 Aug 2019

High-resolution vertical total electron content maps based on multi-scale B-spline representations

Andreas Goss, Michael Schmidt, Eren Erdogan, Barbara Görres, and Florian Seitz

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Final revised paper (published on 12 Aug 2019)
Preprint (discussion started on 04 Mar 2019)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'A review', Ilya Edemskiy, 14 May 2019
- AC1: 'Authors comments', Andreas Goss, 29 May 2019
RC2: 'Review', Anonymous Referee #2, 29 May 2019
- AC2: 'Authors comments to the second review', Andreas Goss, 25 Jun 2019

Peer-review completion

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

ED: Publish subject to minor revisions (review by editor) (10 Jul 2019) by Dalia Buresova

AR by Andreas Goss on behalf of the Authors (11 Jul 2019) Author's response

ED: Publish as is (16 Jul 2019) by Dalia Buresova

AR by Andreas Goss on behalf of the Authors (17 Jul 2019) Manuscript

Short summary

This paper describes an approach to model VTEC solely from NRT GNSS observations by generating a multi-scale representation (MSR) based on B-splines. The unknown model parameters are estimated by means of a Kalman filter. A number of products are created which differ both in their spectral and temporal resolution. The validation studies show that the product with the highest resolution, based on NRT input data, is of higher accuracy than others used within the selected investigation time span.