the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A first global height-resolved cloud condensation nuclei data set derived from spaceborne lidar measurements
Goutam Choudhury
Matthias Tesche
Abstract. We present a global multiyear height-resolved data set of aerosol-type-specific cloud condensation nuclei concentrations (nCCN) estimated from the spaceborne lidar aboard the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) satellite. For estimating nCCN, we apply the recently introduced Optical Modelling of the CALIPSO Aerosol Microphysics (OMCAM) algorithm to the CALIPSO level 2 aerosol profile product. The estimated nCCN are then gridded into a uniform latitude-longitude grid of 2° × 5°, a vertical grid of resolution 60 m from the surface to an altitude of 8 km, and a temporal resolution of one month. The data spans a total of 186 months, from June 2006 to December 2021. In addition, we provide a 3D aerosol-type-specific climatology of nCCN produced using the complete time series. We further highlight some potential applications of the data set in the context of aerosol-cloud interactions. The complete data set can be accessed at https://doi.pangaea.de/10.1594/PANGAEA.956215 (Choudhury and Tesche, 2023).
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Goutam Choudhury and Matthias Tesche
Status: final response (author comments only)
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RC1: 'Comment on essd-2023-91', Anonymous Referee #1, 18 Apr 2023
The comment was uploaded in the form of a supplement: https://essd.copernicus.org/preprints/essd-2023-91/essd-2023-91-RC1-supplement.pdf
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RC2: 'Comment on essd-2023-91', Anonymous Referee #2, 25 Apr 2023
The authors describe a data set consisting of global, gridded, height-resolved cloud condensation nuclei (CCN) concentrations retrieved from spaceborne lidar measurements.
Such data sets are of importance, e.g., as input and validation data for models, e.g. global circulation models.
The authors thoughtfully provide potential applications of their data set and kindly invite readers to use the described data set for further important studies.
In general, the manuscript is well written and comprehensible. Some parts are elucidated in more detail, while other parts lack a bit of information which might be of interest to the reader as well (e.g., see comment on dust separation).
This data description paper fits well into the scope of Earth Syst. Sci. Data and I suggest publication after minor revisions.Comments:
Line 62: January 1 2021 or July 1 2020? What exactly is meant here? The reference states "The V4.21 data product covers July 1, 2020 to current." (https://asdc.larc.nasa.gov/project/CALIPSO/CAL_LID_L2_05kmAPro-Standard-V4-20_V4-20)
Are there significant differences between these two (sub)versions?Line 71: Why is there no data available for February 2016?
Line 129: Add a reference where this Minimum Laser Energy parameter is discribed, please. It is also available for V4.21, I suppose?
Line 144: I suggest to explicitely state the used lidar ratios (Kim et al., 2018) and separation thresholds (particle linear depolarization ratio of dust 0.31? non-dust 0.05?).
Line 254ff: Given the provided two digits after comma averages, please also provide standard deviations.
Similar to Referee 1, I wonder about CCN retrievals at heights >8 km AGL, and even more so, about potential application of this technique (or a similar, adapted one) on INP (ice nucleation particle) retrievals, even though, I understand that a substantial discussion of that would be beyond the scope of a data description paper.
Further, rather minor textual recommendations can be found in the attached pdf file.
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AC1: 'Comment on essd-2023-91', Goutam Choudhury, 28 May 2023
We express our gratitude to the reviewers for their valuable time, dedication, and expertise in thoroughly evaluating and reviewing our manuscript. We greatly appreciate the insightful feedback and constructive comments provided, as they have contributed to improving and refining the quality of our work. Our responses to the reviewers' comments can be found in the supplement file.
Goutam Choudhury and Matthias Tesche
Data sets
Global multiyear 3D dataset of cloud condensation nuclei derived from spaceborne lidar measurements. Goutam Choudhury and Matthias Tesche https://doi.pangaea.de/10.1594/PANGAEA.956215
Goutam Choudhury and Matthias Tesche
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