scholarly journals Stratospheric imaging of polar mesospheric clouds: A new window on small-scale atmospheric dynamics

2015 ◽  
Vol 42 (14) ◽  
pp. 6058-6065 ◽  
Author(s):  
A. D. Miller ◽  
D. C. Fritts ◽  
D. Chapman ◽  
G. Jones ◽  
M. Limon ◽  
...  
Keyword(s):  
Atmospheric Dynamics ◽  
Small Scale ◽  
Polar Mesospheric Clouds ◽  
Mesospheric Clouds

Effect of Small-Scale Gravity Waves on Polar Mesospheric Clouds Observed From CIPS/AIM

2018 ◽  
Vol 123 (5) ◽  
pp. 4026-4045 ◽  
Author(s):  
Haiyang Gao ◽  
Licheng Li ◽  
Lingbing Bu ◽  
Qilin Zhang ◽  
Yuanhe Tang ◽  
...  
Keyword(s):  
Gravity Waves ◽  
Small Scale ◽  
Polar Mesospheric Clouds ◽  
Mesospheric Clouds

scholarly journals The definition of an atmospheric database for Aeolus

2011 ◽  
Vol 4 (1) ◽  
pp. 67-88 ◽  
Author(s):  
G. J. Marseille ◽  
K. Houchi ◽  
J. de Kloe ◽  
A. Stoffelen
Keyword(s):  
High Resolution ◽  
Meteorological Data ◽  
Sampling Strategy ◽  
Laser Wavelength ◽  
Geographic Region ◽  
Atmospheric Dynamics ◽  
Specific Humidity ◽  
Small Scale ◽  
Horizontal Line ◽  
Definition Of

Abstract. The definition of an atmospheric database is an important component of simulation studies in preparation of future earth observing remote sensing satellites. The Aeolus mission, formerly denoted Atmospheric Dynamics Mission (ADM) or ADM-Aeolus, is scheduled for launch end of 2013 and aims at measuring profiles of single horizontal line-of-sight (HLOS) wind components from the surface up to about 32 km with a global coverage. The vertical profile resolution is limited but may be changed during in-orbit operation. This provides the opportunity of a targeted sampling strategy, e.g., as a function of geographic region. Optimization of the vertical (and horizontal) sampling strategy requires a characterization of the atmosphere optical and dynamical properties, more in particular the distribution of atmospheric particles and their correlation with the atmospheric dynamics. The Aeolus atmospheric database combines meteorological data from the ECMWF model with atmosphere optical properties data from CALIPSO. An inverse algorithm to retrieve high-resolution particle backscatter from the CALIPSO level-1 attenuated backscatter product is presented. Global weather models tend to underestimate atmospheric wind variability. A procedure is described to ensure compatibility of the characteristics of the database winds with those from high-resolution radiosondes. The result is a high-resolution database of zonal, meridional and vertical wind, temperature, specific humidity and particle and molecular backscatter and extinction at 355 nm laser wavelength. This allows the simulation of small-scale atmospheric processes within the Aeolus observation sampling volume and their impact on the quality of the retrieved HLOS wind profiles. The database extends over four months covering all seasons. This allows a statistical evaluation of the mission components under investigation. The database is currently used for the development of the Aeolus wind processing, the definition of wind calibration strategies and the optimization of the Aeolus sampling strategy.

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
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