ATMOSPHERIC SCIENCE: Enhanced: An Iron Deficiency in Polar Mesospheric Clouds

Science ◽  
2004 ◽  
Vol 304 (5669) ◽  
pp. 395-396 ◽  
Author(s):  
D. M. Hunten
Keyword(s):  
Iron Deficiency ◽  
Atmospheric Science ◽  
Polar Mesospheric Clouds ◽  
Mesospheric Clouds

Middle ultraviolet imager observations of the distribution of polar mesospheric clouds

2001 ◽  
Vol 27 (10) ◽  
pp. 1703-1708 ◽  
Author(s):  
J.F. Carbary ◽  
D. Morrison ◽  
G.J. Romick ◽  
L.J. Paxton ◽  
C.-I. Meng
Keyword(s):  
Polar Mesospheric Clouds ◽  
Mesospheric Clouds

scholarly journals A new Description of Probability Density Distributions of Polar Mesospheric Clouds (PMC)

2018 ◽  
Author(s):  
Uwe Berger ◽  
Gerd Baumgarten ◽  
Jens Fiedler ◽  
Franz-Josef Lübken
Keyword(s):  
Probability Density ◽  
Mass Density ◽  
Particle Radius ◽  
Number Density ◽  
Data Set ◽  
Statistical Probability ◽  
Polar Mesospheric Clouds ◽  
Density Distributions ◽  
Mesospheric Clouds ◽  
Probability Density Distributions

Abstract. In this paper we present a new description about statistical probability density distributions (pdfs) of Polar Mesospheric Clouds (PMC) and noctilucent clouds (NLC). The analysis is based on observations of maximum backscatter, ice mass density, ice particle radius, and number density of ice particles measured by the ALOMAR RMR-lidar for all NLC seasons from 2002 to 2016. From this data set we derive a new class of pdfs that describe the statistics of PMC/NLC events which is different from previously statistical methods using the approach of an exponential distribution commonly named g-distribution. The new analysis describes successfully the probability statistic of ALOMAR lidar data. It turns out that the former g-function description is a special case of our new approach. In general the new statistical function can be applied to many kinds of different PMC parameters, e.g. maximum backscatter, integrated backscatter, ice mass density, ice water content, ice particle radius, ice particle number density or albedo measured by satellites. As a main advantage the new method allows to connect different observational PMC distributions of lidar, and satellite data, and also to compare with distributions from ice model studies. In particular, the statistical distributions of different ice parameters can be compared with each other on the basis of a common assessment that facilitate, for example, trend analysis of PMC/NLC.

Climatology of Polar Mesospheric Clouds

1986 ◽  
Vol 43 (12) ◽  
pp. 1263-1274 ◽  
Author(s):  
John J. Olivero ◽  
Gary E. Thomas
Keyword(s):  
Polar Mesospheric Clouds ◽  
Mesospheric Clouds

scholarly journals Bright polar mesospheric clouds formed by main engine exhaust from the space shuttle's final launch

2012 ◽  
Vol 117 (D19) ◽  
pp. n/a-n/a ◽  
Author(s):  
Michael H. Stevens ◽  
Stefan Lossow ◽  
Jens Fiedler ◽  
Gerd Baumgarten ◽  
Franz-Josef Lübken ◽  
...  
Keyword(s):  
Engine Exhaust ◽  
Polar Mesospheric Clouds ◽  
Mesospheric Clouds ◽  
Main Engine

scholarly journals Double-layer structure in polar mesospheric clouds observed from SOFIE/AIM

2017 ◽  
Vol 35 (2) ◽  
pp. 295-309 ◽  
Author(s):  
Haiyang Gao ◽  
Gordon G. Shepherd ◽  
Yuanhe Tang ◽  
Lingbing Bu ◽  
Zhen Wang
Keyword(s):  
Double Layer ◽  
Lower Layer ◽  
Layer Structure ◽  
Polar Mesospheric Clouds ◽  
Double Peaks ◽  
Double Layer Structure ◽  
Ice Water Content ◽  
Background Temperature ◽  
Mesospheric Clouds ◽  
Ice Water

Abstract. Double-layer structures in polar mesospheric clouds (PMCs) are observed by using Solar Occultation for Ice Experiment (SOFIE) data between 2007 and 2014. We find 816 and 301 events of double-layer structure with percentages of 10.32 and 7.25 % compared to total PMC events, and the mean distances between two peaks are 3.06 and 2.73 km for the Northern Hemisphere (NH) and Southern Hemisphere (SH) respectively. Double-layer PMCs almost always have less mean ice water content (IWC) than daily IWC during the core of the season, but they are close to each other at the beginning and the end. The result by averaging over all events shows that the particle concentration has obvious double peaks, while the particle radius exhibits an unexpected monotonic increase with decreasing altitude. By further analysis of the background temperature and water vapour residual profiles, we conclude that the lower layer is a reproduced one formed at the bottom of the upper layer. 56.00 and 47.51 % of all double-layer events for the NH and SH respectively have temperature enhancements larger than 2 K locating between their double peaks. The longitudinal anti-correlation between the gravity waves' (GWs') potential energies and occurrence frequencies of double-layer PMCs suggests that the double-layer PMCs tend to form in an environment where the GWs have weaker intensities.

The heights of polar mesospheric clouds

1986 ◽  
Vol 13 (13) ◽  
pp. 1403-1406 ◽  
Author(s):  
Gary E. Thomas ◽  
John J. Olivero
Keyword(s):  
Polar Mesospheric Clouds ◽  
Mesospheric Clouds
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