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 Laboratory (BNL), Upton, NY (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- 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:
- 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:
- Copernicus Publications, EGU
- 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. https://doi.org/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. https://doi.org/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)},
number = 9,
volume = 12,
place = {Germany},
year = {Thu Sep 12 00:00:00 EDT 2019},
month = {Thu Sep 12 00:00:00 EDT 2019}
}
https://doi.org/10.5194/amt-12-4949-2019
Web of Science
Figures / Tables:
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Figures / Tables found in this record: