Using ground radar overlaps to verify the retrieval of calibration bias estimates from spaceborne platforms

Crisologo, Irene; Heistermann, Maik

doi:https://doi.org/10.5194/amt-13-645-2020

Articles | Volume 13, issue 2

https://doi.org/10.5194/amt-13-645-2020

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

https://doi.org/10.5194/amt-13-645-2020

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

Articles | Volume 13, issue 2

Research article

|

11 Feb 2020

Research article |

| 11 Feb 2020

Using ground radar overlaps to verify the retrieval of calibration bias estimates from spaceborne platforms

Irene Crisologo and Maik Heistermann

Download

Final revised paper (published on 11 Feb 2020)
Preprint (discussion started on 29 Apr 2019)

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

RC1: 'Review', Anonymous Referee #1, 24 May 2019
- AC1: 'Responses to reviewers', Irene Crisologo, 08 Nov 2019
RC2: 'RC2', Anonymous Referee #2, 27 Jul 2019
- AC2: 'Responses to reviewers', Irene Crisologo, 08 Nov 2019
RC3: 'review', Anonymous Referee #3, 27 Jul 2019
- AC3: 'Responses to reviewers', Irene Crisologo, 08 Nov 2019

Peer-review completion

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

AR by Irene Crisologo on behalf of the Authors (16 Nov 2019) Author's response Manuscript

ED: Referee Nomination & Report Request started (04 Dec 2019) by S. Joseph Munchak

RR by Anonymous Referee #3 (16 Dec 2019)

RR by Anonymous Referee #2 (20 Dec 2019)

ED: Publish as is (27 Dec 2019) by S. Joseph Munchak

AR by Irene Crisologo on behalf of the Authors (03 Jan 2020) Manuscript

Short summary

Archives of radar observations often suffer from errors, one of which is calibration. However, it is possible to correct them after the fact by using satellite radars as a calibration reference. We propose improvements to this calibration method by considering factors that affect the data quality, such that poor quality data gets filtered out in the bias calculation by assigning weights. We also show that the bias can be interpolated in time even for days when there are no satellite data.