Multichannel analysis of correlation length of SEVIRI images around ground-based cloud observatories to determine their representativeness

Slobodda, J.; Hünerbein, A.; Lindstrot, R.; Preusker, R.; Ebell, K.; Fischer, J.

doi:https://doi.org/10.5194/amt-8-567-2015

Articles | Volume 8, issue 2

https://doi.org/10.5194/amt-8-567-2015

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

https://doi.org/10.5194/amt-8-567-2015

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

Articles | Volume 8, issue 2

Research article

|

04 Feb 2015

Research article |

| 04 Feb 2015

Multichannel analysis of correlation length of SEVIRI images around ground-based cloud observatories to determine their representativeness

J. Slobodda, A. Hünerbein, R. Lindstrot, R. Preusker, K. Ebell, and J. Fischer

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Final revised paper (published on 04 Feb 2015)
Preprint (discussion started on 06 Jun 2014)

Interactive discussion

Status: closed

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

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- Supplement

RC C1527: 'review report', Anonymous Referee #1, 03 Jul 2014
- AC C3187: 'Answer to the Comments of Reviewer #1', Jennifer Slobodda, 14 Oct 2014
RC C2450: 'comment on "Multichannel analysis of correlation length of SEVIRI images around ground-based cloud observatories to determine their representativeness"', Anonymous Referee #2, 02 Sep 2014
- AC C3196: 'Answer to the Comments of Reviewer #2', Jennifer Slobodda, 14 Oct 2014

Short summary

In this paper the representativeness of ground-based cloud observatories and their comparability to satellite data and weather prediction models is examined. It is performed by analysing correlation of time series of SEVIRI pixels. The representativeness strongly depends on the used channels and ranges between 1km and over 20km.