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Title: Cloud Type Classification (cldtype) Value-Added Product

Abstract

The Cloud Type (cldtype) value-added product (VAP) provides an automated cloud type classification based on macrophysical quantities derived from vertically pointing lidar and radar. Up to 10 layers of clouds are classified into seven cloud types based on predetermined and site-specific thresholds of cloud top, base and thickness. Examples of thresholds for selected U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility sites are provided in Tables 1 and 2. Inputs for the cldtype VAP include lidar and radar cloud boundaries obtained from the Active Remotely Sensed Cloud Location (ARSCL) and Surface Meteorological Systems (MET) data. Rain rates from MET are used to determine when radar signal attenuation precludes accurate cloud detection. Temporal resolution and vertical resolution for cldtype are 1 minute and 30 m respectively and match the resolution of ARSCL. The cldtype classification is an initial step for further categorization of clouds. It was developed for use by the Shallow Cumulus VAP to identify potential periods of interest to the LASSO model and is intended to find clouds of interest for a variety of users.

Authors:
 [1];  [1];  [2];  [1]
  1. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  2. Korean Atomic Energy Research Inst., Daejeon (South Korea)
Publication Date:
Research Org.:
DOE Office of Science Atmospheric Radiation Measurement (ARM) Program (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
OSTI Identifier:
1377405
Report Number(s):
DOE/SC-ARM-TR-200
DOE Contract Number:
AC05-7601830
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; cloud type classification; Southern Great Plains; Active Remotely Sensed Cloud Location; Surface Meteorological System; LASSO; Central Facility; value-added product

Citation Formats

Flynn, Donna, Shi, Yan, Lim, K-S, and Riihimaki, Laura. Cloud Type Classification (cldtype) Value-Added Product. United States: N. p., 2017. Web. doi:10.2172/1377405.
Flynn, Donna, Shi, Yan, Lim, K-S, & Riihimaki, Laura. Cloud Type Classification (cldtype) Value-Added Product. United States. doi:10.2172/1377405.
Flynn, Donna, Shi, Yan, Lim, K-S, and Riihimaki, Laura. Tue . "Cloud Type Classification (cldtype) Value-Added Product". United States. doi:10.2172/1377405. https://www.osti.gov/servlets/purl/1377405.
@article{osti_1377405,
title = {Cloud Type Classification (cldtype) Value-Added Product},
author = {Flynn, Donna and Shi, Yan and Lim, K-S and Riihimaki, Laura},
abstractNote = {The Cloud Type (cldtype) value-added product (VAP) provides an automated cloud type classification based on macrophysical quantities derived from vertically pointing lidar and radar. Up to 10 layers of clouds are classified into seven cloud types based on predetermined and site-specific thresholds of cloud top, base and thickness. Examples of thresholds for selected U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility sites are provided in Tables 1 and 2. Inputs for the cldtype VAP include lidar and radar cloud boundaries obtained from the Active Remotely Sensed Cloud Location (ARSCL) and Surface Meteorological Systems (MET) data. Rain rates from MET are used to determine when radar signal attenuation precludes accurate cloud detection. Temporal resolution and vertical resolution for cldtype are 1 minute and 30 m respectively and match the resolution of ARSCL. The cldtype classification is an initial step for further categorization of clouds. It was developed for use by the Shallow Cumulus VAP to identify potential periods of interest to the LASSO model and is intended to find clouds of interest for a variety of users.},
doi = {10.2172/1377405},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Aug 15 00:00:00 EDT 2017},
month = {Tue Aug 15 00:00:00 EDT 2017}
}

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