Stratospheric clouds at south pole during 1988 1. Results of lidar observations and their relationship to temperature

1992 ◽  
Vol 97 (D5) ◽  
pp. 5939 ◽  
Author(s):  
Giorgio Fiocco ◽  
Marco Cacciani ◽  
Paolo Di Girolamo ◽  
Daniele Fuà ◽  
John Deluisi
1997 ◽  
Vol 102 (D11) ◽  
pp. 12945-12955 ◽  
Author(s):  
Marco Cacciani ◽  
Paola Colagrande ◽  
Alcide di Sarra ◽  
Daniele Fuà ◽  
Paolo Di Girolamo ◽  
...  

1997 ◽  
Vol 102 (D11) ◽  
pp. 12937-12943 ◽  
Author(s):  
Marco Cacciani ◽  
Giorgio Fiocco ◽  
Paola Colagrande ◽  
Paolo Di Girolamo ◽  
Alcide di Sarra ◽  
...  

1993 ◽  
Vol 98 (D1) ◽  
pp. 1001-1010 ◽  
Author(s):  
Richard L. Collins ◽  
Kenneth P. Bowman ◽  
Chester S. Gardner

2017 ◽  
Vol 145 (4) ◽  
pp. 1149-1159 ◽  
Author(s):  
Andreas Dörnbrack ◽  
Sonja Gisinger ◽  
Michael C. Pitts ◽  
Lamont R. Poole ◽  
Marion Maturilli

Abstract The presented picture of the month is a superposition of spaceborne lidar observations and high-resolution temperature fields of the ECMWF Integrated Forecast System (IFS). It displays complex tropospheric and stratospheric clouds in the Arctic winter of 2015/16. Near the end of December 2015, the unusual northeastward propagation of warm and humid subtropical air masses as far north as 80°N lifted the tropopause by more than 3 km in 24 h and cooled the stratosphere on a large scale. A widespread formation of thick cirrus clouds near the tropopause and of synoptic-scale polar stratospheric clouds (PSCs) occurred as the temperature dropped below the thresholds for the existence of cloud particles. Additionally, mountain waves were excited by the strong flow at the western edge of the ridge across Svalbard, leading to the formation of mesoscale ice PSCs. The most recent IFS cycle using a horizontal resolution of 8 km globally reproduces the large-scale and mesoscale flow features and leads to a remarkable agreement with the wave structure revealed by the spaceborne observations.


1999 ◽  
Vol 104 (D19) ◽  
pp. 23961-23969 ◽  
Author(s):  
A. Tsias ◽  
M. Wirth ◽  
K. S. Carslaw ◽  
J. Biele ◽  
H. Mehrtens ◽  
...  

Author(s):  
K. Stebel ◽  
R. Neuber ◽  
G. Beyerle ◽  
J. Biele ◽  
P. Scheuch ◽  
...  

1994 ◽  
Vol 21 (13) ◽  
pp. 1307-1310 ◽  
Author(s):  
H. J. Schäfer ◽  
P. Scheuch ◽  
M. Langer ◽  
K. H. Fricke ◽  
U. von Zahn ◽  
...  

Tellus B ◽  
2005 ◽  
Vol 57 (5) ◽  
pp. 412-422 ◽  
Author(s):  
U. Blum ◽  
K. H. Fricke ◽  
K. P. Müller ◽  
J. Siebert ◽  
G. Baumgarten

2021 ◽  
Author(s):  
Marcel Snels ◽  
Francesco Colao ◽  
Francesco Cairo ◽  
Ilir Shuli ◽  
Andrea Scoccione ◽  
...  

<p>Polar stratospheric clouds have been observed at Dome C by a ground-based lidar from 2014 up to the present, possibly in coincidence with nearby overpasses of the CALIPSO satellite, with the CALIOP lidar on board.</p><p>A thorough study has been made in terms of detection efficiency and composition classification of near coincident lidar observations, with the goal to identify the main biases between the two lidars.</p><p>When comparing ground-based lidar observations with nearby CALIOP overpasses, several biases might occur, due to the distance between ground-based lidar and nearest overpass, observation geometry and integration times and different algorithms used for data analysis.</p><p>The bias resulting from different data analysis has been reduced by applying an algorithm for PSC detection and composition classification to the ground-based data which is very similar to the V2 algorithm used for CALIOP.</p><p>By comparing 5 years of PSC observations at Dome C, considering both detection efficiency and composition of the observed PSCs, the impact of all biases will be discussed and possibly quantified. </p>


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