High-performance software framework for the calculation of satellite-to-satellite data matchups (MMS version 1.2)

Block, Thomas; Embacher, Sabine; Merchant, Christopher J.; Donlon, Craig

doi:https://doi.org/10.5194/gmd-11-2419-2018

Articles | Volume 11, issue 6

https://doi.org/10.5194/gmd-11-2419-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gmd-11-2419-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 11, issue 6

Model description paper

|

20 Jun 2018

Model description paper |

| 20 Jun 2018

High-performance software framework for the calculation of satellite-to-satellite data matchups (MMS version 1.2)

Thomas Block, Sabine Embacher, Christopher J. Merchant, and Craig Donlon

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Final revised paper (published on 20 Jun 2018)
Supplement to the final revised paper
Preprint (discussion started on 31 May 2017)
Supplement to the preprint

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

SC1: 'Code Accessibility', Lutz Gross, 20 Jul 2017
- AC1: 'DOI and software version', Thomas Block, 25 Jul 2017
RC1: 'Paper Summary and Peer Review Feedback', Anonymous Referee #1, 23 Oct 2017
- AC2: 'Review ouf our publication', Thomas Block, 25 Oct 2017
RC2: 'Review: High Performance Software Framework for the Calculation of Satellite-to-Satellite Data Matchups (MMS version 1.2)', Anonymous Referee #2, 24 Apr 2018
- AC3: 'Your review ouf our text', Thomas Block, 01 May 2018

Peer-review completion

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

AR by Thomas Block on behalf of the Authors (01 May 2018) Author's response Manuscript

ED: Publish as is (29 May 2018) by Steve Easterbrook

AR by Thomas Block on behalf of the Authors (04 Jun 2018)

Short summary

For calibration and validation purposes it is necessary to detect simultaneous data acquisitions from different spaceborne platforms. We present an algorithm and a software system which implements a general approach to resolve this problem. The multisensor matchup system (MMS) can detect simultaneous acquisitions in a large dataset (> 100 TB) and extract data for matching locations for further analysis. The MMS implements a flexible software infrastructure and allows for high parallelization.