Can liquid cloud microphysical processes be used for vertically pointing cloud radar calibration?
Abstract
Cloud radars are unique instruments for observing cloud processes, but uncertainties in radar calibration have frequently limited data quality. Thus far, no single robust method exists for assessing the calibration of past cloud radar data sets. Here, we investigate whether observations of microphysical processes in liquid clouds such as the transition of cloud droplets to drizzle drops can be used to calibrate cloud radars. Specifically, we study the relationships between the radar reflectivity factor and three variables not affected by absolute radar calibration: the skewness of the radar Doppler spectrum (γ), the radar mean Doppler velocity (W), and the liquid water path (LWP). For each relation, we evaluate the potential for radar calibration. For γ and W, we use box model simulations to determine typical radar reflectivity values for reference points. We apply the new methods to observations at the Atmospheric Radiation Measurement (ARM) sites North Slope of Alaska (NSA) and Oliktok Point (OLI) in 2016 using two 35 GHz Ka-band ARM Zenith Radars (KAZR). For periods with a sufficient number of liquid cloud observations, we find that liquid cloud processes are robust enough for cloud radar calibration, with the LWP-based method performing best. We estimate that, in 2016, the radarmore »
- Authors:
- Publication Date:
- Research Org.:
- Brookhaven National Laboratory (BNL), Upton, NY (United States); Univ. of Colorado, Boulder, CO (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1526077
- Alternate Identifier(s):
- OSTI ID: 1561246; OSTI ID: 1673429
- Report Number(s):
- BNL-212055-2019-JAAM
Journal ID: ISSN 1867-8548
- Grant/Contract Number:
- SC0013306; 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: 6; Journal ID: ISSN 1867-8548
- Publisher:
- European Geosciences Union
- Country of Publication:
- Germany
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES
Citation Formats
Maahn, Maximilian, Hoffmann, Fabian, Shupe, Matthew D., de Boer, Gijs, Matrosov, Sergey Y., and Luke, Edward P. Can liquid cloud microphysical processes be used for vertically pointing cloud radar calibration?. Germany: N. p., 2019.
Web. doi:10.5194/amt-12-3151-2019.
Maahn, Maximilian, Hoffmann, Fabian, Shupe, Matthew D., de Boer, Gijs, Matrosov, Sergey Y., & Luke, Edward P. Can liquid cloud microphysical processes be used for vertically pointing cloud radar calibration?. Germany. https://doi.org/10.5194/amt-12-3151-2019
Maahn, Maximilian, Hoffmann, Fabian, Shupe, Matthew D., de Boer, Gijs, Matrosov, Sergey Y., and Luke, Edward P. Thu .
"Can liquid cloud microphysical processes be used for vertically pointing cloud radar calibration?". Germany. https://doi.org/10.5194/amt-12-3151-2019.
@article{osti_1526077,
title = {Can liquid cloud microphysical processes be used for vertically pointing cloud radar calibration?},
author = {Maahn, Maximilian and Hoffmann, Fabian and Shupe, Matthew D. and de Boer, Gijs and Matrosov, Sergey Y. and Luke, Edward P.},
abstractNote = {Cloud radars are unique instruments for observing cloud processes, but uncertainties in radar calibration have frequently limited data quality. Thus far, no single robust method exists for assessing the calibration of past cloud radar data sets. Here, we investigate whether observations of microphysical processes in liquid clouds such as the transition of cloud droplets to drizzle drops can be used to calibrate cloud radars. Specifically, we study the relationships between the radar reflectivity factor and three variables not affected by absolute radar calibration: the skewness of the radar Doppler spectrum (γ), the radar mean Doppler velocity (W), and the liquid water path (LWP). For each relation, we evaluate the potential for radar calibration. For γ and W, we use box model simulations to determine typical radar reflectivity values for reference points. We apply the new methods to observations at the Atmospheric Radiation Measurement (ARM) sites North Slope of Alaska (NSA) and Oliktok Point (OLI) in 2016 using two 35 GHz Ka-band ARM Zenith Radars (KAZR). For periods with a sufficient number of liquid cloud observations, we find that liquid cloud processes are robust enough for cloud radar calibration, with the LWP-based method performing best. We estimate that, in 2016, the radar reflectivity at NSA was about 1±1 dB too low but stable. For OLI, we identify serious problems with maintaining an accurate calibration including a sudden decrease of 5 to 7 dB in June 2016.},
doi = {10.5194/amt-12-3151-2019},
journal = {Atmospheric Measurement Techniques (Online)},
number = 6,
volume = 12,
place = {Germany},
year = {Thu Jun 13 00:00:00 EDT 2019},
month = {Thu Jun 13 00:00:00 EDT 2019}
}
https://doi.org/10.5194/amt-12-3151-2019
Web of Science
Figures / Tables:
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