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Title: Calibration of the 2007–2017 record of Atmospheric Radiation Measurements cloud radar observations using CloudSat

Abstract

The U.S. Department of Energy (DOE) Atmospheric Radiation Measurements (ARM) facility has been at the forefront of millimeter-wavelength radar development and operations since the late 1990s. The operational performance of the ARM cloud radar network is very high; however, the calibration of the historical record is not well established. Here, a well-characterized spaceborne 94 GHz cloud profiling radar (CloudSat) is used to characterize the calibration of the ARM cloud radars. The calibration extends from 2007 to 2017 and includes both fixed and mobile deployments. Collectively, over 43 years of ARM profiling cloud radar observations are compared to CloudSat and the calibration offsets are reported as a function of time using a sliding window of 6 months. The study also provides the calibration offsets for each operating mode of the ARM cloud radars. Overall, significant calibration offsets are found that exceed the uncertainty of the technique (1–2 dB). The findings of this study are critical to past, ongoing, and planned studies of cloud and precipitation and should assist the DOE ARM to build a legacy decadal ground-based cloud radar dataset for global climate model validation.

Authors:
; ;
Publication Date:
Research Org.:
Brookhaven National Lab. (BNL), Upton, NY (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
OSTI Identifier:
1561368
Alternate Identifier(s):
OSTI ID: 1569542
Report Number(s):
BNL-212182-2019-JAAM
Journal ID: ISSN 1867-8548
Grant/Contract Number:  
SC0012704
Resource Type:
Journal Article: Published Article
Journal Name:
Atmospheric Measurement Techniques (Online)
Additional Journal Information:
Journal Name: Atmospheric Measurement Techniques (Online) Journal Volume: 12 Journal Issue: 9; Journal ID: ISSN 1867-8548
Publisher:
European Geosciences Union
Country of Publication:
Germany
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Kollias, Pavlos, Puigdomènech Treserras, Bernat, and Protat, Alain. Calibration of the 2007–2017 record of Atmospheric Radiation Measurements cloud radar observations using CloudSat. Germany: N. p., 2019. Web. doi:10.5194/amt-12-4949-2019.
Kollias, Pavlos, Puigdomènech Treserras, Bernat, & Protat, Alain. Calibration of the 2007–2017 record of Atmospheric Radiation Measurements cloud radar observations using CloudSat. Germany. doi:10.5194/amt-12-4949-2019.
Kollias, Pavlos, Puigdomènech Treserras, Bernat, and Protat, Alain. Thu . "Calibration of the 2007–2017 record of Atmospheric Radiation Measurements cloud radar observations using CloudSat". Germany. doi:10.5194/amt-12-4949-2019.
@article{osti_1561368,
title = {Calibration of the 2007–2017 record of Atmospheric Radiation Measurements cloud radar observations using CloudSat},
author = {Kollias, Pavlos and Puigdomènech Treserras, Bernat and Protat, Alain},
abstractNote = {The U.S. Department of Energy (DOE) Atmospheric Radiation Measurements (ARM) facility has been at the forefront of millimeter-wavelength radar development and operations since the late 1990s. The operational performance of the ARM cloud radar network is very high; however, the calibration of the historical record is not well established. Here, a well-characterized spaceborne 94 GHz cloud profiling radar (CloudSat) is used to characterize the calibration of the ARM cloud radars. The calibration extends from 2007 to 2017 and includes both fixed and mobile deployments. Collectively, over 43 years of ARM profiling cloud radar observations are compared to CloudSat and the calibration offsets are reported as a function of time using a sliding window of 6 months. The study also provides the calibration offsets for each operating mode of the ARM cloud radars. Overall, significant calibration offsets are found that exceed the uncertainty of the technique (1–2 dB). The findings of this study are critical to past, ongoing, and planned studies of cloud and precipitation and should assist the DOE ARM to build a legacy decadal ground-based cloud radar dataset for global climate model validation.},
doi = {10.5194/amt-12-4949-2019},
journal = {Atmospheric Measurement Techniques (Online)},
issn = {1867-8548},
number = 9,
volume = 12,
place = {Germany},
year = {2019},
month = {9}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at 10.5194/amt-12-4949-2019

Figures / Tables:

Figure 1 Figure 1: Location of the fixed and mobile ARM profiling cloud radars calibrated using the CloudSat Cloud Profiling Radar.

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