the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Geometrical and optical properties of cirrus clouds in Barcelona, Spain: Analysis with the two-way transmittance method of 5 years of lidar measurements
Cristina Gil-Díaz
Michäel Sicard
Adolfo Comerón
Daniel Camilo Fortunato dos Santos Oliveira
Constantino Muñoz-Porcar
Alejandro Rodríguez-Gómez
Jasper R. Lewis
Ellsworth Judd Welton
Simone Lolli
Abstract. In this paper a statistical study of cirrus geometrical and optical properties based on 5 years of continuous groundbased lidar measurements with the Barcelona (Spain) Micro Pulse Lidar (MPL) is analysed. First, a review of the literature on the two-way transmittance method is presented. This method is a well-known lidar inversion method used to retrieve the optical properties of an aerosol/cloud layer between two molecular (i.e. aerosol/cloud-free) regions below and above, without the need to make any a priori assumptions about their optical and/or microphysical properties. Second, a simple mathematical expression of the two-way transmittance method is proposed for both ground-based and spaceborne lidar systems. This approach of the method allows the retrieval of the cloud optical depth, the columnar cloud lidar ratio and the vertical profile of the cloud backscatter coefficient. The method is illustrated for a cirrus cloud using measurements from a ground-based MPL and from the spaceborne Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP). Third, the data base is then filtered with a cirrus identification criterion based on (and compared to) the literature using only lidar and radiosonde data. During the period from November 2018 to September 2022, 367 high-altitude cirrus clouds have been identified at 00 and 12 UTC, of which 203 were successfully inverted with the two-way transmittance method. The statistical results of these 203 high-altitude cirrus clouds show that the cloud thickness is 1.8 ± 1.1 km, the mid-cloud temperature is -51 ± 8 ºC and linear cloud depolarization ratio is 0.32 ± 0.13. The application of the transmittance method yields an average cloud optical depth (COD) of 0.36 ± 0.45 and a mean lidar ratio of 30 ± 19 sr. It is observed that the highest occurrence of cirrus is in spring and the majority of cirrus clouds (48 %) are visible (0.03 < COD < 0.3), followed by opaque (COD > 0.3) with a percentage of 38 %. Together with results from other sites, a possible latitudinal dependence of lidar ratio is detected: the lidar ratio increases with increasing latitude. We also note that in Barcelona the COD correlates positively with the cloud base temperature, lidar ratio and linear cloud depolarization ratio and negatively with the cloud base height. On the one hand, the decrease of the cloud base temperature and COD associated to an increase of the cloud base height occurs because clouds located at higher altitudes are formed from air masses with a lower water vapour content and, therefore, their geometric and optical thickness are smaller. On the other hand, the lidar ratio increases with increasing cloud optical depth, as the complexity and diversity of ice crystal shapes increases, due to collisions and turbulence. Lastly, the linear cloud depolarization ratio has a slightly positive tendency with the cloud optical depth, because as the cloud optical depth increases, the number of ice crystals increases and, as a consequence, the randomly aggregation of ice crystals within the cloud occurs more frequently, making ice crystals rougher and thus more depolarizing.
- Preprint
(832 KB) - Metadata XML
- BibTeX
- EndNote
Cristina Gil-Díaz et al.
Status: open (extended)
-
RC1: 'Comment on amt-2023-134', Anonymous Referee #2, 23 Aug 2023
reply
The comment was uploaded in the form of a supplement: https://amt.copernicus.org/preprints/amt-2023-134/amt-2023-134-RC1-supplement.pdf
-
CC1: 'Comment on amt-2023-243: How much of the observed cirrus is contrail cirrus', Ulrich Schumann, 04 Sep 2023
reply
This is an interesting study which might be extended by addressing further related questions in this or in follow-on papers.
Barcelona is often passed by airliners and other high-flying aircraft in the upper troposphere or lowermost stratosphere. For traffic details see, e.g., Teoh et al. (2023), still in discussion phase. Here quite often contrails are formed which persist under suitable humidity conditions (Schumann, 1996; Schumann and Heymsfield, 2017; Schumann et al., 2021; Li et al., 2023).
So, my question to you: Did the criteria you used to select your observed cirrus cases exclude contrails? And if yes, based on which criterium?
How much of your observed cirrus are in fact contrails?
Please note that contrails sometimes reach life times of several hours and may evolve to a large width (order 10 km or more) and depth (order 500 to 1500 m) and move with the wind over possibly large distances. Many contrails from various aircraft often overlap and form together a “contrail cirrus” cloud, hard to distinguish form other cirrus. Contrail cirrus and other cirrus often merge into one cirrus cloud. Individual contrails and contrail cirrus should have rather high concentrations of small ice particles and possibly still have a shape similar to a (disrupted) line structure (Vázquez-Navarro et al., 2015). This also affects Lidar depolarization rate measurements (Urbanek et al., 2018; Li and Groß, 2021; Groß et al., 2023).
In your paper you use radiosonde data but did not use humidity data. Why this restriction? The humidity data of modern radiosondes (e.g., of type RS41) should allow for useful measurements of humidity (dew point temperature) up to the tropopause. And the question for which humidity cirrus ice particles survive is still an ongoing topic of research. The degree to which relative humidity inside cirrus deviates from ice saturation might allow to estimate the ages of cirrus clouds.
As mentioned before, several of my comments require further research and hence are not the condition for publishing this paper, but you might include an outlook which addresses some of these topics.
References
Groß, S., T. Jurkat-Witschas, Q. Li, M. Wirth, B. Urbanek, M. Krämer, R. Weigel, and C. Voigt (2023). Investigating an indirect aviation effect on mid-latitude cirrus clouds – linking lidar-derived optical properties to in situ measurements Atmos. Chem. Phys., 23, 8369-8381, https://doi.org/10.5194/acp-23-8369-2023.
Li, Q., and S. Groß (2021). Changes of cirrus cloud properties and occurrence over Europe during the COVID-19-caused air traffic reduction. Atmos. Chem. Phys., https://acp.copernicus.org/articles/21/14573/2021/.
Li, Y., C. Mahnke, S. Rohs, U. Bundke, N. Spelten, G. Dekoutsidis, S. Groß, C. Voigt, U. Schumann, A. Petzold, and M. Krämer (2023). Upper tropospheric slightly ice-subsaturated regions: Frequency of occurrence and statistical evidence for the appearance of contrail cirrus. Atmos. Chem. Phys., 23(February), 2251–2271, https://doi.org/10.5194/acp-23-2251-2023.
Schumann, U. (1996). On conditions for contrail formation from aircraft exhausts. Meteorol. Z., 5(1), 4-23, doi: 10.1127/metz/5/1996/4, https://elib.dlr.de/32128/.
Schumann, U., and A. Heymsfield (2017). On the lifecycle of individual contrails and contrail cirrus. Meteor. Monogr., 58(3), 3.1-3.24, doi: 10.1175/AMSMONOGRAPHS-D-16-0005.1.
Schumann, U., I. Poll, R. Teoh, R. Koelle, E. Spinielli, J. Molloy, G. S. Koudis, R. Baumann, L. Bugliaro, M. Stettler, and C. Voigt (2021). Air traffic and contrail changes over Europe during COVID-19: A model study. Atmos. Chem. Phys., 21(10), 7429–7450, doi: 10.5194/acp-21-7429-2021.
Teoh, R., Z. Engberg, M. Shapiro, L. Dray, and M. E. J. Stettler (2023). A high-resolution Global Aviation emissions Inventory based on ADS-B (GAIA) for 2019 – 2021. EGUsphere, preprint, https://doi.org/10.5194/egusphere-2023-724.
Urbanek, B., S. Groß, M. Wirth, C. Rolf, M. Krämer, and C. Voigt (2018). High depolarization ratios of naturally occurring cirrus clouds near air traffic regions over Europe. Geophys. Res. Lett., 45, 13166-13172, doi: 10.1029/2018GL079345.
Vázquez-Navarro, M., H. Mannstein, and S. Kox (2015). Contrail life cycle and properties from 1 year of MSG/SEVIRI rapid-scan images. Atmos. Chem. Phys., 15, 8739-8749, doi: 10.5194/acp-15-8739-2015.
Citation: https://doi.org/10.5194/amt-2023-134-CC1
Cristina Gil-Díaz et al.
Cristina Gil-Díaz et al.
Viewed
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
117 | 47 | 7 | 171 | 7 | 8 |
- HTML: 117
- PDF: 47
- XML: 7
- Total: 171
- BibTeX: 7
- EndNote: 8
Viewed (geographical distribution)
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1