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An overview of the first decade of Polly NET : an emerging network of automated Raman-polarization lidars for continuous aerosol profiling

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TLDR
PollyNET as mentioned in this paper consists of portable, remote-controlled multiwavelength-polarization-Raman lidars (Polly) for automated and continuous 24/7 observations of clouds and aerosols.
Abstract
. A global vertically resolved aerosol data set covering more than 10 years of observations at more than 20 measurement sites distributed from 63° N to 52° S and 72° W to 124° E has been achieved within the Raman and polarization lidar network PollyNET. This network consists of portable, remote-controlled multiwavelength-polarization-Raman lidars (Polly) for automated and continuous 24/7 observations of clouds and aerosols. PollyNET is an independent, voluntary, and scientific network. All Polly lidars feature a standardized instrument design with different capabilities ranging from single wavelength to multiwavelength systems, and now apply unified calibration, quality control, and data analysis. The observations are processed in near-real time without manual intervention, and are presented online at http://polly.tropos.de/ . The paper gives an overview of the observations on four continents and two research vessels obtained with eight Polly systems. The specific aerosol types at these locations (mineral dust, smoke, dust-smoke and other dusty mixtures, urban haze, and volcanic ash) are identified by their Angstrom exponent, lidar ratio, and depolarization ratio. The vertical aerosol distribution at the PollyNET locations is discussed on the basis of more than 55 000 automatically retrieved 30 min particle backscatter coefficient profiles at 532 nm as this operating wavelength is available for all Polly lidar systems. A seasonal analysis of measurements at selected sites revealed typical and extraordinary aerosol conditions as well as seasonal differences. These studies show the potential of PollyNET to support the establishment of a global aerosol climatology that covers the entire troposphere.

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Journal ArticleDOI

Depolarization and lidar ratios at 355, 532, and 1064 nm and microphysical properties of aged tropospheric and stratospheric Canadian wildfire smoke

TL;DR: In this paper, optical and microphysical properties of western Canadian wildfire smoke observed in a tropospheric layer from 5.5-6.5 km height and in a stratospheric layers from 15-16 km height during a record-breaking smoke event were presented.
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Three-dimensional evolution of Saharan dust transport towards Europe based on a 9-year EARLINET-optimized CALIPSO dataset

TL;DR: In this article, the authors used a new dust product developed using CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation) observations and methods to provide a 3D multi-year analysis on the evolution of Saharan dust over North Africa and Europe.
Journal ArticleDOI

Potential of polarization lidar to provide profiles of CCN- and INP-relevant aerosol parameters

TL;DR: In this article, the potential of polarization lidar to provide vertical profiles of aerosol parameters from which cloud condensation nucleus (CCN) and ice nucleating particle (INP) number concentrations can be estimated was investigated.
References
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Journal ArticleDOI

Overview of the CALIPSO Mission and CALIOP Data Processing Algorithms

TL;DR: Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) is a two-wavelength polarization lidar that performs global profiling of aerosols and clouds in the troposphere and lower stratosphere as discussed by the authors.
Journal ArticleDOI

Analysis of atmospheric lidar observations: some comments

TL;DR: A restatement of the more general solution of Fernald et al.l which is also applicable to mildly turbid atmospheres where both aerosol and molecular scatterers must be considered in the analysis.
Journal ArticleDOI

Stable analytical inversion solution for processing lidar returns

TL;DR: A simple analytical method is presented that shows some potential for application to the problem of extracting attenuation and backscatter coefficients in an inhomogeneous atmosphere from the return signal of a monostatic single-wavelength lidar system.
Book

Multivariate Analysemethoden: Eine Anwendungsorientierte Einfuhrung

TL;DR: In this paper, 12 wichtige Verfahren der multivariaten Analysemethoden are discussed. Dies sind Regressions-, Varianz-, Diskriminanz-, Kontingenz-, Faktoren-, Cluster-, Korrespondenz-and logistische Regressionanalyse sowie Conjoint Measurement, Multidimensionale Skalierung, Strukturgleichungsmodelle (AMOS), and Neuronale Netze (CLEMENTINE).
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