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Title: ARM: 10-minute TEMPORARY Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

Abstract

10-minute TEMPORARY Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

Authors:
;
Publication Date:
DOE Contract Number:  
DE-AC05-00OR22725
Product Type:
Dataset
Research Org.:
Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
Subject:
54 Environmental Sciences
Keywords:
Aerosol extinction; Aerosol scattering; Atmospheric moisture; Backscatter depolarization ratio; Backscattered radiation; Cloud base height; Cloud liquid water; Cloud top height; Optical depth; Precipitable water
OSTI Identifier:
1027728
DOI:
10.5439/1027728

Citation Formats

Sivaraman, Chitra, and Flynn, Connor. ARM: 10-minute TEMPORARY Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm. United States: N. p., 2010. Web. doi:10.5439/1027728.
Sivaraman, Chitra, & Flynn, Connor. ARM: 10-minute TEMPORARY Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm. United States. doi:10.5439/1027728.
Sivaraman, Chitra, and Flynn, Connor. 2010. "ARM: 10-minute TEMPORARY Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm". United States. doi:10.5439/1027728. https://www.osti.gov/servlets/purl/1027728. Pub date:Wed Dec 15 00:00:00 EST 2010
@article{osti_1027728,
title = {ARM: 10-minute TEMPORARY Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm},
author = {Sivaraman, Chitra and Flynn, Connor},
abstractNote = {10-minute TEMPORARY Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm},
doi = {10.5439/1027728},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2010},
month = {12}
}

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