Aerosol and Cloud Optical Properties from the ARM Raman Lidars: The Feature Detection and Extinction (RLPROF-FEX) Value-Added Product
Abstract
Aerosols and their interactions and influence on clouds are among the main sources of uncertainties in radiative direct and indirect forcing (IPCC 2013). Continuous height-resolved measurements of cloud and aerosol optical properties are needed to reduce these uncertainties. Here we describe the Raman Lidar Profiles – Feature detection and Extinction (RLPROF-FEX) Value-Added Product (VAP) derived using Raman lidar data at multiple U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) user facility sites. RLPROF-FEX provides estimates of extinction, backscatter, and depolarization using the algorithm described by Thorsen et al. 2015 and Thorsen and Fu 2015. This document provides a description of the FEX algorithm, its input and output data, and related details about the Raman lidar (RL) system.
- Authors:
-
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- NASA Langley Research Center, Hampton, VA (United States)
- Univ. of Oklahoma, Norman, OK (United States)
- Publication Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Atmospheric Radiation Measurement (ARM) Data Center
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1560857
- Report Number(s):
- DOE/SC-ARM-TR-224
- DOE Contract Number:
- ACO5-7601830
- Resource Type:
- Technical Report
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; Eastern North Atlantic; Oliktok Point, Alaska, USA; Mobile Facility; Southern Great Plains; Balloon-Borne Sounding System; Raman Lidar; aerosols; optical; data; quality; External Data Center; satellite meteorology; data analysis; Merged Sounding; Raman Lidar Vertical Profiles Feature Detection and Extinction
Citation Formats
Chand, Duli, Newsom, Rob, Thorsen, Tyler, Cromwell, Erol, Sivaraman, Chitra, Flynn, Connor, Shilling, John, and Comstock, Jennifer. Aerosol and Cloud Optical Properties from the ARM Raman Lidars: The Feature Detection and Extinction (RLPROF-FEX) Value-Added Product. United States: N. p., 2022.
Web. doi:10.2172/1560857.
Chand, Duli, Newsom, Rob, Thorsen, Tyler, Cromwell, Erol, Sivaraman, Chitra, Flynn, Connor, Shilling, John, & Comstock, Jennifer. Aerosol and Cloud Optical Properties from the ARM Raman Lidars: The Feature Detection and Extinction (RLPROF-FEX) Value-Added Product. United States. https://doi.org/10.2172/1560857
Chand, Duli, Newsom, Rob, Thorsen, Tyler, Cromwell, Erol, Sivaraman, Chitra, Flynn, Connor, Shilling, John, and Comstock, Jennifer. 2022.
"Aerosol and Cloud Optical Properties from the ARM Raman Lidars: The Feature Detection and Extinction (RLPROF-FEX) Value-Added Product". United States. https://doi.org/10.2172/1560857. https://www.osti.gov/servlets/purl/1560857.
@article{osti_1560857,
title = {Aerosol and Cloud Optical Properties from the ARM Raman Lidars: The Feature Detection and Extinction (RLPROF-FEX) Value-Added Product},
author = {Chand, Duli and Newsom, Rob and Thorsen, Tyler and Cromwell, Erol and Sivaraman, Chitra and Flynn, Connor and Shilling, John and Comstock, Jennifer},
abstractNote = {Aerosols and their interactions and influence on clouds are among the main sources of uncertainties in radiative direct and indirect forcing (IPCC 2013). Continuous height-resolved measurements of cloud and aerosol optical properties are needed to reduce these uncertainties. Here we describe the Raman Lidar Profiles – Feature detection and Extinction (RLPROF-FEX) Value-Added Product (VAP) derived using Raman lidar data at multiple U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) user facility sites. RLPROF-FEX provides estimates of extinction, backscatter, and depolarization using the algorithm described by Thorsen et al. 2015 and Thorsen and Fu 2015. This document provides a description of the FEX algorithm, its input and output data, and related details about the Raman lidar (RL) system.},
doi = {10.2172/1560857},
url = {https://www.osti.gov/biblio/1560857},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Aug 01 00:00:00 EDT 2022},
month = {Mon Aug 01 00:00:00 EDT 2022}
}