On the validation of K-index values at Italian geomagnetic observatories

Regi, Mauro; Bagiacchi, Paolo; Di Mauro, Domenico; Lepidi, Stefania; Cafarella, Lili

doi:https://doi.org/10.5194/gi-9-105-2020

Articles | Volume 9, issue 1

https://doi.org/10.5194/gi-9-105-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gi-9-105-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 9, issue 1

Research article

|

03 Apr 2020

Research article |

| 03 Apr 2020

On the validation of K-index values at Italian geomagnetic observatories

Mauro Regi, Paolo Bagiacchi, Domenico Di Mauro, Stefania Lepidi, and Lili Cafarella

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Final revised paper (published on 03 Apr 2020)
Preprint (discussion started on 09 Oct 2019)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Reviewer comments', Anonymous Referee #1, 18 Nov 2019
- AC1: 'Replies to reviewer #1', Mauro Regi, 21 Feb 2020
RC2: 'review', Anonymous Referee #2, 10 Jan 2020
- AC2: 'Replies to reviewer #2', Mauro Regi, 21 Feb 2020
RC3: '"On the validation of K index values at Italian geomagnetic observatories" by Mauro Regi et al.', Anonymous Referee #3, 03 Feb 2020
- AC3: 'Replies to reviewer #3', Mauro Regi, 21 Feb 2020

Peer-review completion

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

AR by Mauro Regi on behalf of the Authors (21 Feb 2020) Author's response Manuscript

ED: Publish as is (27 Feb 2020) by Valery Korepanov

AR by Mauro Regi on behalf of the Authors (04 Mar 2020)

Short summary

The K index, characterizing local geomagnetic activity, is generally automatically calculated by algorithms such as KASM, one of the four software programs recommended by INTERMAGNET. KASM requires an appropriate L9 value. We analyze K values for Italian observatories and compare them with historical German observatories to establish the best L9 estimation for our stations. A comparison with results from a previous empirical method shows the consistency and reliability of our outcome.