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Title: Remote sensing data from CLARET: A prototype CART data set

Abstract

The data set containing radiation, meteorological, and cloud sensor observations is documented. It was prepared for use by the Department of Energy's Atmospheric Radiation Measurement (ARM) Program and other interested scientists. These data are a precursor of the types of data that ARM Cloud And Radiation Testbed (CART) sites will provide. The data are from the Cloud Lidar And Radar Exploratory Test (CLARET) conducted by the Wave Propagation Laboratory during autumn 1989 in the Denver-Boulder area of Colorado primarily for the purpose of developing new cloud-sensing techniques on cirrus. After becoming aware of the experiment, ARM scientists requested archival of subsets of the data to assist in the developing ARM program. Five CLARET cases were selected: two with cirrus, one with stratus, one with mixed-phase clouds, and one with clear skies. Satellite data from the stratus case and one cirrus case were analyzed for statistics on cloud cover and top height. The main body of the selected data are available on diskette from the Wave Propagation Laboratory or Los Alamos National Laboratory.

Authors:
; ; ; ; ; ; ; ; ;
Publication Date:
Research Org.:
National Oceanic and Atmospheric Administration, Boulder, CO (United States)
OSTI Identifier:
7066184
Report Number(s):
N-93-13094; NASA-CR-191294; NAS-1.26:191294; PB-92-206853; NOAA-TM-ERL-WPL-223
CNN: PROJ. 40220-CL-378
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; CLOUD COVER; MONITORING; WEATHER; CLOUDS; COMPILED DATA; DATA ANALYSIS; METEOROLOGY; OPTICAL RADAR; RADIATION ABSORPTION ANALYSIS; REMOTE SENSING; SATELLITES; STATISTICAL MODELS; CHEMICAL ANALYSIS; DATA; INFORMATION; MATHEMATICAL MODELS; MEASURING INSTRUMENTS; NONDESTRUCTIVE ANALYSIS; NUMERICAL DATA; RADAR; RANGE FINDERS; 540110*

Citation Formats

Eberhard, W L, Uttal, T, Clark, K A, Cupp, R E, Dutton, E G, Fedor, L S, Intrieri, J M, Matrosov, S Y, Snider, J B, and Willis, R J. Remote sensing data from CLARET: A prototype CART data set. United States: N. p., 1992. Web.
Eberhard, W L, Uttal, T, Clark, K A, Cupp, R E, Dutton, E G, Fedor, L S, Intrieri, J M, Matrosov, S Y, Snider, J B, & Willis, R J. Remote sensing data from CLARET: A prototype CART data set. United States.
Eberhard, W L, Uttal, T, Clark, K A, Cupp, R E, Dutton, E G, Fedor, L S, Intrieri, J M, Matrosov, S Y, Snider, J B, and Willis, R J. 1992. "Remote sensing data from CLARET: A prototype CART data set". United States.
@article{osti_7066184,
title = {Remote sensing data from CLARET: A prototype CART data set},
author = {Eberhard, W L and Uttal, T and Clark, K A and Cupp, R E and Dutton, E G and Fedor, L S and Intrieri, J M and Matrosov, S Y and Snider, J B and Willis, R J},
abstractNote = {The data set containing radiation, meteorological, and cloud sensor observations is documented. It was prepared for use by the Department of Energy's Atmospheric Radiation Measurement (ARM) Program and other interested scientists. These data are a precursor of the types of data that ARM Cloud And Radiation Testbed (CART) sites will provide. The data are from the Cloud Lidar And Radar Exploratory Test (CLARET) conducted by the Wave Propagation Laboratory during autumn 1989 in the Denver-Boulder area of Colorado primarily for the purpose of developing new cloud-sensing techniques on cirrus. After becoming aware of the experiment, ARM scientists requested archival of subsets of the data to assist in the developing ARM program. Five CLARET cases were selected: two with cirrus, one with stratus, one with mixed-phase clouds, and one with clear skies. Satellite data from the stratus case and one cirrus case were analyzed for statistics on cloud cover and top height. The main body of the selected data are available on diskette from the Wave Propagation Laboratory or Los Alamos National Laboratory.},
doi = {},
url = {https://www.osti.gov/biblio/7066184}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Jun 01 00:00:00 EDT 1992},
month = {Mon Jun 01 00:00:00 EDT 1992}
}

Technical Report:
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