the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
CLAAS-3: the third edition of the CM SAF cloud data record based on SEVIRI observations
Irina Solodovnik
Martin Stengel
Imke Hüser
Karl-Göran Karlsson
Nina Håkansson
Erik Johansson
Salomon Eliasson
Marc Schröder
Rainer Hollmann
Jan Fokke Meirink
Abstract. CLAAS-3, the third edition of the Cloud property dAtAset using SEVIRI, was released in December 2022. It is based on observations from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI), on board geostationary satellites Meteosat-8, 9, 10 and 11, which are operated by the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT). CLAAS-3 was produced and released by the EUMETSAT Satellite Application Facility on Climate Monitoring (CM SAF), which aims to provide high quality satellite-based data records suitable for climate monitoring applications. Compared to previous CLAAS releases, CLAAS-3 is expanded in terms of both temporal extent and cloud properties included, and it is based on partly updated retrieval algorithms. The available data span the period from 2004 to present, covering Europe, Africa, the Atlantic Ocean and parts of South America, the Middle East and the Indian Ocean. They include cloud fractional coverage, cloud-top height, phase (liquid or ice) and optical and microphysical properties (water path, optical thickness, effective radius and droplet number concentration), from instantaneous data (every 15 minutes) to monthly averages. In this study we present an extensive evaluation of CLAAS-3 cloud properties, based on independent reference data sets. These include satellite-based retrievals from active and passive sensors, ground-based observations and in situ measurements from flight campaigns. Overall results show very good agreement, with small biases attributable to different sensor characteristics, retrieval/sampling approaches, and viewing/illumination conditions. These findings demonstrate the fitness of CLAAS-3 to support the intended applications, which include evaluation of climate models, cloud characterization and process studies focusing especially on the diurnal cycle, and cloud filtering for other applications. The CLAAS-3 data record is publicly available via the CM SAF website (https://doi.org/10.5676/EUM_SAF_CM/CLAAS/V003) (Meirink et al., 2022).
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Nikos Benas et al.
Status: final response (author comments only)
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RC1: 'Comment on essd-2023-79', Caroline Poulsen, 13 Jun 2023
General Comments
The paper summarises the new reprocessing of the SEVIRI satellite cloud property data set. The data set has been extended in time, both forwards and backwards and additional parameters have been added such as cloud geometrical thickness and cloud droplet number concentration. The quality of the data set is high and it is clear a lot of work has gone into assessing the underly FCDR as well as the L2 and L3 products. The data set will be useful for many different weather and climate studies.
The paper is very thorough, products have been validated and compared at level2 (swath) and at level3 (monthly).
The products have been evaluated with the most appropriate reference data sets and with aircraft flight campaign data. It was very pleasing to see discussion of uncertainties on the data set and even evaluation of the uncertainty of the LWP data set, this is in line with best practice.
The paper is very clearly written and I found very few technical errors
Specific Comments
For the comparison of CTH with Calipso it would have been good to see a plot of the standard deviation (Figure 8) and/or some discussion on what compensating errors there could be for example boundary layer clouds could be too high (miss classification of inversions) while cirrus clouds too low.
Figure 10 why are there negative values of LWP AMSR2?
Section 4.5 have the authors considered that the difference between CLASS and MODIS could also be due to different liquid/ice cloud fractions?
Technical errors
line 337 insert new line
while it maybe obvious that the x-axis in plots is year it would still be good to have this labelled.
x-axis labelling on Figure 13
Citation: https://doi.org/10.5194/essd-2023-79-RC1 -
AC1: 'Reply on RC1', Nikos Benas, 25 Aug 2023
The comment was uploaded in the form of a supplement: https://essd.copernicus.org/preprints/essd-2023-79/essd-2023-79-AC1-supplement.pdf
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AC1: 'Reply on RC1', Nikos Benas, 25 Aug 2023
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RC2: 'Comment on essd-2023-79', Anonymous Referee #2, 26 Jul 2023
Attached please find the detailed comments for this paper.
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AC2: 'Reply on RC2', Nikos Benas, 25 Aug 2023
The comment was uploaded in the form of a supplement: https://essd.copernicus.org/preprints/essd-2023-79/essd-2023-79-AC2-supplement.pdf
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AC2: 'Reply on RC2', Nikos Benas, 25 Aug 2023
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EC1: 'Comment on essd-2023-79', Tobias Gerken, 26 Jul 2023
Dear authors,
I would like to take the time to thank the reviewers for their time and care.
You are invited to prepare a careful response to the reviewers' comments. As you can see from the comment there are differing perspectives on the current state of the manuscript and data. Because the utility of the cloud product hinges on its accuracy established by comparison wiht other sources, I recommend to carefully look at reviewer 2's comments on the underlying quality of the comparison data and choice of data products.
Best regards,
Tobias Gerken
Citation: https://doi.org/10.5194/essd-2023-79-EC1
Nikos Benas et al.
Data sets
CLAAS-3: CM SAF CLoud property dAtAset using SEVIRI - Edition 3 J. F. Meirink, K.-G. Karlsson, I. Solodovnik, I. Hüser, N. Benas, E. Johansson, N. Håkansson, M. Stengel, N. Selbach, M. Schröder, and R. Hollmann https://doi.org/10.5676/EUM_SAF_CM/CLAAS/V003
Nikos Benas et al.
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