U.S. Department of EnergyOffice of Scientific and Technical Information
HSRL Liquid cloud base height
Abstract
Liquid layers in clouds affect their microphysical processes, as well as the surface energy budget. Studies focusing on these and other areas of research are often in need of skillful estimation of liquid-bearing cloud-layer boundaries. The bases of these layers are predominantly determined by ground-based lidar instruments. Most studies requiring liquid cloud base height (LCBH) information use either fixed lidar depolarization and/or backscatter cross-section thresholds or cloud base height data products that do not distinguish between ice and liquid, all of which might introduce inconsistencies and errors in the resolved LCBH. This data set contains LCBH data at 1-min temoporal resolution based on an explicit LCBH detection algorithm, which uses the high-spectral-resolution lidar (HSRL) data. Examination of this algorithm in multiple cases and scenarios during numerous days and first-order comparison with microwave radiometer data show satisfactory results.
- Authors:
-
- ORNL
- Publication Date:
- DOE Contract Number:
- AC05-00OR22725
- Research Org.:
- Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US); ARM Data Center, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- Collaborations:
- PNNL, BNL, ANL, ORNL
- Subject:
- 54 ENVIRONMENTAL SCIENCES; Liquid cloud base height, ARM, DOE.
- OSTI Identifier:
- 1764692
- DOI:
- https://doi.org/10.5439/1764692
Citation Formats
Silber, Israel, Verlinde, Johannes, and Eloranta, Edwin. HSRL Liquid cloud base height. United States: N. p., 2019.
Web. doi:10.5439/1764692.
Silber, Israel, Verlinde, Johannes, & Eloranta, Edwin. HSRL Liquid cloud base height. United States. doi:https://doi.org/10.5439/1764692
Silber, Israel, Verlinde, Johannes, and Eloranta, Edwin. 2019.
"HSRL Liquid cloud base height". United States. doi:https://doi.org/10.5439/1764692. https://www.osti.gov/servlets/purl/1764692. Pub date:Wed Sep 18 00:00:00 EDT 2019
@article{osti_1764692,
title = {HSRL Liquid cloud base height},
author = {Silber, Israel and Verlinde, Johannes and Eloranta, Edwin},
abstractNote = {Liquid layers in clouds affect their microphysical processes, as well as the surface energy budget. Studies focusing on these and other areas of research are often in need of skillful estimation of liquid-bearing cloud-layer boundaries. The bases of these layers are predominantly determined by ground-based lidar instruments. Most studies requiring liquid cloud base height (LCBH) information use either fixed lidar depolarization and/or backscatter cross-section thresholds or cloud base height data products that do not distinguish between ice and liquid, all of which might introduce inconsistencies and errors in the resolved LCBH. This data set contains LCBH data at 1-min temoporal resolution based on an explicit LCBH detection algorithm, which uses the high-spectral-resolution lidar (HSRL) data. Examination of this algorithm in multiple cases and scenarios during numerous days and first-order comparison with microwave radiometer data show satisfactory results. },
doi = {10.5439/1764692},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Sep 18 00:00:00 EDT 2019},
month = {Wed Sep 18 00:00:00 EDT 2019}
}