Abstract

Abstract. Measurements of geometrical and optical properties of cirrus clouds, performed with a multi-wavelength PollyXT Raman lidar during the period 2008 to 2016, are analysed. The measurements were performed with the same instrument, during sequential periods, in three places at different latitudes, Gwal Pahari (28.43∘ N, 77.15∘ E; 243 m a.s.l.) in India, Elandsfontein (26.25∘ S, 29.43∘ E; 1745 m a.s.l.) in South Africa and Kuopio (62.74∘ N, 27.54∘ E; 190 m a.s.l.) in Finland. The lidar dataset was processed by an automatic cirrus cloud masking algorithm, developed in the frame of this work. In the following, we present a statistical analysis of the lidar-retrieved geometrical characteristics (cloud boundaries, geometrical thickness) and optical properties of cirrus clouds (cloud optical depth, lidar ratio, ice crystal depolarisation ratio) measured over the three areas that correspond to subtropical and subarctic regions as well as their seasonal variability. The effect of multiple scattering from ice particles to the derived optical products is also considered and corrected in this study. Our results show that cirrus layers, which have a noticeable monthly variability, were observed between 6.5 and 13 km, with temperatures ranging from −72 to −27 ∘C. The observed differences on cirrus clouds' geometrical and optical properties over the three regions are discussed in terms of latitudinal and temperature dependence. The latitudinal dependence of the geometrical properties is consistent with satellite observations, following the pattern observed with CloudSat, with decreasing values towards the poles. The geometrical boundaries have their highest values in the subtropical regions, and overall, our results seem to demonstrate that subarctic cirrus clouds are colder, lower and optically thinner than subtropical cirrus clouds. The dependence of cirrus cloud geometrical thickness and optical properties on mid-cirrus temperatures shows a quite similar tendency for the three sites but less variability for the subarctic dataset. Cirrus clouds are geometrically and optically thicker at temperatures between −45 and −35 ∘C, and a second peak is observed at lower temperatures ∼-70 ∘C for the subarctic site. Lidar ratio values also exhibit a pattern, showing higher values moving toward the poles, with higher mean values observed over the subarctic site. The dependency of the mid-cirrus temperatures on the lidar ratio values and the particle depolarisation values is further examined. Our study shows that the highest values of the cirrus lidar ratio correspond to higher values of cirrus depolarisation and warmer cirrus. The kind of information presented here can be rather useful in the cirrus parameterisations required as input to radiative transfer models and can be a complementary tool for satellite products that cannot provide cloud vertical structure. In addition, ground-based statistics of the cirrus properties could be useful in the validation and improvement of the corresponding derived products from satellite retrievals.

Highlights

  • Cirrus clouds are usually formed in altitudes from 6 to 14 km, with an average thickness of 1.5 km and temperature variability from −80 to −27 ◦C (Westbrook and Illingworth, 2011)

  • Mean cirrus cloud geometrical thickness reported in the literature from satellite retrievals is about 2.0 km globally (Sassen et al, 2008), while a broad distribution of geometrical boundaries from ground-based systems has been reported in the literature (e.g. Gouveia et al, 2017; Seifert et al, 2007; Hoareau et al, 2013)

  • The cirrus lidar dataset in the Gwal Pahari (28.43◦ N, 77.15◦ E; 243 m a.s.l. – Northern Hemisphere) region is the less extensive one compared to the other two sites and limitations due to the low signal-to-noise ratios

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Summary

Introduction

Cirrus clouds are usually formed in altitudes from 6 to 14 km, with an average thickness of 1.5 km and temperature variability from −80 to −27 ◦C (Westbrook and Illingworth, 2011). Voudouri et al.: Variability in cirrus clouds over lidar stations particles, and the shape of their hydrometeors varies, affected by air temperature, atmospheric pressure and ice supersaturation (Lynch et al, 2001). Given that cirrus clouds are challenging components in atmospheric and global climatological research, affecting the global radiation budget Campbell et al, 2016), detailed monitoring of their properties at different geographical locations is crucial to understanding their effects on climate Given that cirrus clouds are challenging components in atmospheric and global climatological research, affecting the global radiation budget (e.g. Campbell et al, 2016), detailed monitoring of their properties at different geographical locations is crucial to understanding their effects on climate

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