scholarly journals Relationships between polar mesospheric clouds, temperature, and water vapor from Solar Occultation for Ice Experiment (SOFIE) observations

2009 ◽  
Vol 114 (D20) ◽  
Author(s):  
Mark E. Hervig ◽  
Michael H. Stevens ◽  
Larry L. Gordley ◽  
Lance E. Deaver ◽  
James M. Russell ◽  
...  
Keyword(s):  
Water Vapor ◽  
Polar Mesospheric Clouds ◽  
Solar Occultation ◽  
Mesospheric Clouds

scholarly journals An analysis of POAM II solar occultation observations of polar mesospheric clouds in the southern hemisphere

1997 ◽  
Vol 102 (D2) ◽  
pp. 1971-1981 ◽  
Author(s):  
D. J. Debrestian ◽  
J. D. Lumpe ◽  
E. P. Shettle ◽  
R. M. Bevilacqua ◽  
J. J. Olivero ◽  
...  
Keyword(s):  
Southern Hemisphere ◽  
Polar Mesospheric Clouds ◽  
Solar Occultation ◽  
Mesospheric Clouds

scholarly journals SBUV observations of polar mesospheric clouds compared with MLS temperature and water vapor measurements

2010 ◽  
Vol 37 (18) ◽  
pp. n/a-n/a ◽  
Author(s):  
Eric P. Shettle ◽  
Gerald E. Nedoluha ◽  
Matthew T. DeLand ◽  
Gary E. Thomas ◽  
John J. Olivero
Keyword(s):  
Water Vapor ◽  
Polar Mesospheric Clouds ◽  
Mesospheric Clouds

scholarly journals Local time dependence of polar mesospheric clouds: a model study

2018 ◽  
Vol 18 (12) ◽  
pp. 8893-8908 ◽  
Author(s):  
Francie Schmidt ◽  
Gerd Baumgarten ◽  
Uwe Berger ◽  
Jens Fiedler ◽  
Franz-Josef Lübken
Keyword(s):  
Water Vapor ◽  
Local Time ◽  
Transport Model ◽  
Threshold Value ◽  
Polar Mesospheric Clouds ◽  
Model Study ◽  
Background Temperature ◽  
Time Variations ◽  
The Mean ◽  
Mesospheric Clouds

Abstract. The Mesospheric Ice Microphysics And tranSport model (MIMAS) is used to study local time (LT) variations of polar mesospheric clouds (PMCs) in the Northern Hemisphere during the period from 1979 to 2013. We investigate the tidal behavior of brightness, altitude, and occurrence frequency and find a good agreement between model and lidar observations. At the peak of the PMC layer the mean ice radius varies from 35 to 45 nm and the mean number density varies from 80 to 150 cm−3 throughout the day. We also analyze PMCs in terms of ice water content (IWC) and show that only amplitudes of local time variations in IWC are sensitive to threshold conditions, whereas phases are conserved. In particular, relative local time variations decrease with larger thresholds. Local time variations also depend on latitude. In particular, absolute local time variations increase towards the pole. Furthermore, a phase shift exists towards the pole which is independent of the threshold value. In particular, the IWC maximum moves backward in time from 08:00 LT at midlatitudes to 02:00 LT at high latitudes. The persistent features of strong local time modulations in ice parameters are caused by local time structures in background temperature and water vapor. For a single year local time variations of temperature at 69° N are in a range of ±3 K near 83 km altitude. At sublimation altitudes the water vapor variation is about ±3.5 ppmv, leading to a change in the saturation ratio by a factor of about 2 throughout the day.

scholarly journals Discovery of a water vapor layer in the Arctic summer mesosphere: Implications for polar mesospheric clouds

2001 ◽  
Vol 28 (18) ◽  
pp. 3601-3604 ◽  
Author(s):  
Michael E. Summers ◽  
R. R. Conway ◽  
C. R. Englert ◽  
D. E. Siskind ◽  
M. H. Stevens ◽  
...  
Keyword(s):  
Water Vapor ◽  
The Arctic ◽  
Vapor Layer ◽  
Polar Mesospheric Clouds ◽  
Mesospheric Clouds ◽  
Arctic Summer

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.

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