2018
DOI: 10.1002/2017jd027717
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Toward Exploring the Synergy Between Cloud Radar Polarimetry and Doppler Spectral Analysis in Deep Cold Precipitating Systems in the Arctic

Abstract: The study of Arctic ice and mixed‐phase clouds, which are characterized by a variety of ice particle types in the same cloudy volume, is challenging research. This study illustrates a new approach to qualitative and quantitative analysis of the complexity of ice and mixed‐phase microphysical processes in Arctic deep precipitating systems using the combination of Ka‐band zenith‐pointing radar Doppler spectra and quasi‐vertical profiles of polarimetric radar variables measured by a Ka/W‐band scanning radar. The … Show more

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Cited by 41 publications
(61 citation statements)
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“…Instead, we will use the LWP-max(Z e ) relationship of one site as a reference and determine the calibration offset of a second site from this. In other words, the LWP-max(Z e ) relationship is used in a relative way unless we can trust the calibration of one of the radars, which would make it an absolute calibration similar to Protat et al (2011). Similar to the γ -and W -based methods, this assumes that the LWP-max(Z e ) relationship is sufficiently stable with respect to changes in microphysical and dynamical conditions.…”
Section: Determining a Reference Relationmentioning
confidence: 99%
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“…Instead, we will use the LWP-max(Z e ) relationship of one site as a reference and determine the calibration offset of a second site from this. In other words, the LWP-max(Z e ) relationship is used in a relative way unless we can trust the calibration of one of the radars, which would make it an absolute calibration similar to Protat et al (2011). Similar to the γ -and W -based methods, this assumes that the LWP-max(Z e ) relationship is sufficiently stable with respect to changes in microphysical and dynamical conditions.…”
Section: Determining a Reference Relationmentioning
confidence: 99%
“…Therefore, we have to not only determine the initial calibration constant of a system but also monitor the calibration constant for changes. For example, waveguide corrosion of the MilliMeter wavelength Cloud Radar (MMCR) of the US Department Of Energy (DOE) Atmospheric Radiation Measurement (ARM) program at the North Slope of Alaska (NSA) site in Utqiaġvik (Barrow), Alaska, caused a 9.8 dB calibration offset in 2008 (Protat et al, 2011). Also, a liquid film on the radome or radar antenna caused by precipitation can temporarily lead to up to 4 dB of additional two-way attenuation (Frech, 2009).…”
Section: Introductionmentioning
confidence: 99%
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