Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/9417
Title: LIVAS: A 3-D multi-wavelength aerosol/cloud database based on CALIPSO and EARLINET
Authors: Amiridis, Vassilis 
Marinou, Eleni 
Tsekeri, Alexandra 
Wandinger, Ulla 
Schwarz, Anja 
Giannakaki, Elina 
Mamouri, Rodanthi-Elisavet 
Kokkalis, Panayotis 
Binietoglou, Ioannis 
Solomos, Stavros 
Herekakis, Themistocles 
Kazadzis, Stelios 
Gerasopoulos, Evangelos 
Proestakis, Emmanouil 
Kottas, Michael 
Balis, Dimitris S. 
Papayannis, Alexandros D. 
Kontoes, Haris 
Kourtidis, Kostas A. 
Papagiannopoulos, Nikolaos 
Mona, Lucia 
Pappalardo, Gelsomina 
Le Rille, Oivier 
Ansmann, Albert 
Major Field of Science: Engineering and Technology
Field Category: Environmental Engineering
Keywords: Sky radiance measurements;Single-scattering albedo;Optical-properties;Saharan dust;Size distribution;Raman lidar;Samum 2006;Aeronet;Depth;Algorithm
Issue Date: 1-Jul-2015
Source: Atmospheric Chemistry and Physics, 2015, vol. 15, no.13, pp. 7127-7153.
Volume: 15
Issue: 13
Start page: 7127
End page: 7153
DOI: 10.5194/acp-15-7127-2015
Journal: Atmospheric Chemistry and Physics 
Abstract: We present LIVAS (LIdar climatology of Vertical Aerosol Structure for space-based lidar simulation studies), a 3-D multi-wavelength global aerosol and cloud optical database, optimized to be used for future space-based lidar end-to-end simulations of realistic atmospheric scenarios as well as retrieval algorithm testing activities. The LIVAS database provides averaged profiles of aerosol optical properties for the potential spaceborne laser operating wavelengths of 355, 532, 1064, 1570 and 2050 nm and of cloud optical properties at the wavelength of 532 nm. The global database is based on CALIPSO observations at 532 and 1064 nm and on aerosol-type-dependent backscatter- and extinction-related Ångström exponents, derived from EARLINET (European Aerosol Research Lidar Network) ground-based measurements for the UV and scattering calculations for the IR wavelengths, using a combination of input data from AERONET, suitable aerosol models and recent literature. The required spectral conversions are calculated for each of the CALIPSO aerosol types and are applied to CALIPSO backscatter and extinction data corresponding to the aerosol type retrieved by the CALIPSO aerosol classification scheme. A cloud optical database based on CALIPSO measurements at 532 nm is also provided, neglecting wavelength conversion due to approximately neutral scattering behavior of clouds along the spectral range of LIVAS. Averages of particle linear depolarization ratio profiles at 532 nm are provided as well. Finally, vertical distributions for a set of selected scenes of specific atmospheric phenomena (e.g., dust outbreaks, volcanic eruptions, wild fires, polar stratospheric clouds) are analyzed and spectrally converted so as to be used as case studies for spaceborne lidar performance assessments. The final global data set includes 4-year (1 January 2008-31 December 2011) time-averaged CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations) data on a uniform grid of 1° x 1° with the original high vertical resolution of CALIPSO in order to ensure realistic simulations of the atmospheric variability in lidar end-to-end simulations.
URI: https://hdl.handle.net/20.500.14279/9417
ISSN: 16807316
DOI: 10.5194/acp-15-7127-2015
Rights: © Author(s) 2015.
Type: Article
Affiliation : National Observatory of Athens 
Aristotle University of Thessaloniki 
Leibniz Institute for Tropospheric Research 
Finnish Meteorological Institute 
Cyprus University of Technology 
National Institute of Research and Development for Optoelectronics 
Physikalisch-Meteorologisches Observatorium Davos 
National Technical University Of Athens 
Democritus University of Thrace 
CNR - National Research Council of Italy 
ESA/ESTEC 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

Files in This Item:
File Description SizeFormat
Amiridis.pdfArticle12.75 MBAdobe PDFView/Open
CORE Recommender
Show full item record

SCOPUSTM   
Citations

78
checked on Nov 9, 2023

WEB OF SCIENCETM
Citations

76
Last Week
0
Last month
0
checked on Nov 1, 2023

Page view(s)

532
Last Week
0
Last month
3
checked on Nov 6, 2024

Download(s)

418
checked on Nov 6, 2024

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons