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Title: Large Scale Ice Water Path and 3-D Ice Water Content w/in 10 deg x 10 deg Surrounding ARM Site During IOPs

Abstract

Cloud ice water concentration is one of the most important, yet poorly observed, cloud properties. Developing physical parameterizations used in general circulation models through single-column modeling is one of the key foci of the ARM program. In addition to the vertical profiles of temperature, water vapor and condensed water at the model grids, large-scale horizontal advective tendencies of these variables are also required as forcing terms in the single-column models. Observed horizontal advection of condensed water has not been available because the radar/lidar/radiometer observations at the ARM site are single-point measurement, therefore, do not provide horizontal distribution of condensed water. The intention of this product is to provide large-scale distribution of cloud ice water by merging available surface and satellite measurements. The satellite cloud ice water algorithm uses ARM ground-based measurements as baseline, produces datasets for 3-D cloud ice water distributions in a 10 deg x 10 deg area near ARM site. The approach of the study is to expand a (surface) point measurement to an (satellite) areal measurement. That is, this study takes the advantage of the high quality cloud measurements at the point of ARM site. We use the cloud characteristics derived from the point measurement to guide/constrainmore » satellite retrieval, then use the satellite algorithm to derive the cloud ice water distributions within an area, i.e., 10 deg x 10 deg centered at ARM site.« less

Creator(s)/Author(s):
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); 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)
Subject:
54 Environmental Sciences
Keywords:
ice water content; ice water path
OSTI Identifier:
1602398
DOI:
10.5439/1602398

Citation Formats

Liu, Guosheng. Large Scale Ice Water Path and 3-D Ice Water Content w/in 10 deg x 10 deg Surrounding ARM Site During IOPs. United States: N. p., 2007. Web. doi:10.5439/1602398.
Liu, Guosheng. Large Scale Ice Water Path and 3-D Ice Water Content w/in 10 deg x 10 deg Surrounding ARM Site During IOPs. United States. doi:10.5439/1602398.
Liu, Guosheng. 2007. "Large Scale Ice Water Path and 3-D Ice Water Content w/in 10 deg x 10 deg Surrounding ARM Site During IOPs". United States. doi:10.5439/1602398. https://www.osti.gov/servlets/purl/1602398. Pub date:Tue Apr 10 00:00:00 EDT 2007
@article{osti_1602398,
title = {Large Scale Ice Water Path and 3-D Ice Water Content w/in 10 deg x 10 deg Surrounding ARM Site During IOPs},
author = {Liu, Guosheng},
abstractNote = {Cloud ice water concentration is one of the most important, yet poorly observed, cloud properties. Developing physical parameterizations used in general circulation models through single-column modeling is one of the key foci of the ARM program. In addition to the vertical profiles of temperature, water vapor and condensed water at the model grids, large-scale horizontal advective tendencies of these variables are also required as forcing terms in the single-column models. Observed horizontal advection of condensed water has not been available because the radar/lidar/radiometer observations at the ARM site are single-point measurement, therefore, do not provide horizontal distribution of condensed water. The intention of this product is to provide large-scale distribution of cloud ice water by merging available surface and satellite measurements. The satellite cloud ice water algorithm uses ARM ground-based measurements as baseline, produces datasets for 3-D cloud ice water distributions in a 10 deg x 10 deg area near ARM site. The approach of the study is to expand a (surface) point measurement to an (satellite) areal measurement. That is, this study takes the advantage of the high quality cloud measurements at the point of ARM site. We use the cloud characteristics derived from the point measurement to guide/constrain satellite retrieval, then use the satellite algorithm to derive the cloud ice water distributions within an area, i.e., 10 deg x 10 deg centered at ARM site.},
doi = {10.5439/1602398},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2007},
month = {4}
}

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