Linear Depolarization Ratios of Columnar Ice Crystals in a Deep Precipitating System over the Arctic Observed by Zenith-Pointing Ka-Band Doppler Radar

Oue, Mariko; Kumjian, Matthew R.; Lu, Yinghui; Verlinde, Johannes; Aydin, K.; Clothiaux, Eugene E.

doi:10.1175/jamc-d-15-0012.1

Cited by 54 publications

(90 citation statements)

References 43 publications

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“…The detected temperature range of −8 to −6 • C corresponds to the growth regime of needles at that height (Pruppacher and Klett, 1996). As (Aydin and Walsh, 1999;Matrosov et al, 2001;Oue et al, 2015b). The simulated L DR values span a range from −16 to −12.5 dB that is in good agreement with the observed sL DR values in the spectrogram that reach values up to −17 dB in Fig.…”

Section: Case 1: Aggregation Of Needles 10:09-10:18 Utcsupporting

confidence: 80%

“…This temperature corresponds to a needle or column generation regime, as in Case 1. In addition, the sL DR -spectrogram observed with Mira shows similar signatures with sL DR -values of −17 dB that agree to the simulation signatures for needles or columns (Aydin and Walsh, 1999;Matrosov et al, 2001;Oue et al, 2015b). Because the cloud conditions are not homogeneous, the hypothesis of the presence of needles is mainly built upon the radiosonde data.…”

Section: Case 1: Aggregation Of Needles 10:09-10:18 Utcsupporting

confidence: 72%

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Observing ice particle growth along fall streaks in mixed-phase clouds using spectral polarimetric radar data

Pfitzenmaier

Unal

Dufournet³

et al. 2018

Atmos. Chem. Phys.

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Abstract. The growth of ice crystals in presence of supercooled liquid droplets represents the most important process for precipitation formation in the mid-latitudes. However, such mixed-phase interaction processes remain relatively unknown, as capturing the complexity in cloud dynamics and microphysical variabilities turns to be a real observational challenge. Ground-based radar systems equipped with fully polarimetric and Doppler capabilities in high temporal and spatial resolutions such as the S-band transportable atmospheric radar (TARA) are best suited to observe mixedphase growth processes. In this paper, measurements are taken with the TARA radar during the ACCEPT campaign (analysis of the composition of clouds with extended polarization techniques). Besides the common radar observables, the 3-D wind field is also retrieved due to TARA unique three beam configuration. The novelty of this paper is to combine all these observations with a particle evolution detection algorithm based on a new fall streak retrieval technique in order to study ice particle growth within complex precipitating mixed-phased cloud systems. In the presented cases, three different growth processes of ice crystals, plate-like crystals, and needles are detected and related to the presence of supercooled liquid water. Moreover, TARA observed signatures are assessed with co-located measurements obtained from a cloud radar and radiosondes. This paper shows that it is possible to observe ice particle growth processes within complex systems taking advantage of adequate technology and state of the art retrieval algorithms. A significant improvement is made towards a conclusive interpretation of ice particle growth processes and their contribution to rain production using fall streak rearranged radar data.

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Section: Case 1: Aggregation Of Needles 10:09-10:18 Utcsupporting

confidence: 80%

Section: Case 1: Aggregation Of Needles 10:09-10:18 Utcsupporting

confidence: 72%

Observing ice particle growth along fall streaks in mixed-phase clouds using spectral polarimetric radar data

Pfitzenmaier

Unal

Dufournet³

et al. 2018

Atmos. Chem. Phys.

View full text Add to dashboard Cite

show abstract

“…This temperature corresponds to a needle or column generation regime, as in Case 1. In addition the sL DR -spectrogram shows similar signatures with sL DR -values of 20 −17 dB that agree to the simulation signatures for needles or columns (Aydin and Walsh, 1999;Matrosov et al, 2001;Oue et al, 2015b). Therefore, it is expected that the enhanced Z DR signature is caused by needles or columns.…”

supporting

confidence: 84%

Observing ice particle growth along fall streaks in mixed-phase clouds using spectral polarimetric radar data

Pfitzenmaier¹,

Unal²,

Dufournet³

et al. 2018

Preprint

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Abstract. The growth of ice crystals in presence of super-cooled liquid droplets represents the most important process for precipitation formation in the mid-latitudes. Such mixed-phase interaction processes remain however pretty much unknown, as capturing the complexity in cloud dynamics and microphysical variabilities turns to be a real observational challenge.Ground-based radar systems equipped with fully polarimetric and Doppler capabilities in high temporal and spatial resolutions such as the S-band Transportable Atmospheric Radar (TARA) are best suited to observe mixed-phase growth processes. In 5 this paper, measurements are taken with the TARA radar during the ACCEPT campaign (Analysis of the Composition of Clouds with Extended Polarization Techniques). Besides the common radar observables, the 3D wind field is also retrieved due to TARA unique three beam configuration. The novelty of this paper is to combine all these observations with a particle evolution detection algorithm based on a new fall streak retrieval technique in order to study ice particle growth within complex precipitating mixed-phased cloud systems. In the presented cases, three different growth processes of ice crystals, plate-like 10 crystals, and needles, are detected and related to the presence of supercooled liquid water. Moreover, TARA observed signatures are assessed with co-located measurements obtained from a cloud radar and radiosondes. This paper shows that it is possible to observe ice particle growth processes within complex systems taking advantage of adequate technology and state of the art retrieval algorithms. A significant improvement is made towards a conclusive interpretation of ice particle growth processes and their contribution to rain production using fall streak rearranged radar data.

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“…Because radar Doppler velocities are related to particle fall speeds and vertical air motions, multimodality of the Doppler spectra indicates different particle populations coexisting in the radar sampling volume. The multimodal radar Doppler spectra have often been used to infer the presence of mixed‐phase conditions in deep precipitating ice clouds (e.g., Luke et al, ; Oue, Kumjian, Lu, Verlinde, et al, , Oue, Kumjian, Lu, Jiang, et al, ). An example of multimodal spectra is shown in Figure a.…”

Section: Methodsmentioning

confidence: 99%

“…Schrom et al () suggested a polarimetric technique to separate contributions from aggregates and dendrites in the DGL of midlatitude winter storms. Polarimetric signatures of the secondary ice mixed with aggregated and rimed snow in layers with temperature around −5°C were found by cloud and precipitation radar measurements in high‐latitude deeper snow clouds (Oue, Kumjian, Lu, Verlinde, et al, ; Sinclair et al, ), midlatitude mesoscale convective systems (Giangrande, Toto, Bansemer, et al, ; Kumjian et al, ), and midlatitude snowstorms (Kumjian & Lombardo, ). However, combining polarimetric measurements with the analysis of Doppler spectra yields a much better chance to identify and separate different types of ice, and to quantify their amounts if their corresponding fall velocities are associated with separate peaks in the Doppler spectrum.…”

Section: Introductionmentioning

confidence: 96%

Toward Exploring the Synergy Between Cloud Radar Polarimetry and Doppler Spectral Analysis in Deep Cold Precipitating Systems in the Arctic

et al. 2018

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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 results illustrate the frequent occurrence of multimodal Doppler spectra in the dendritic/planar growth layer, where locally generated, slower‐falling particle populations are well separated from faster‐falling populations in terms of Doppler velocity. The slower‐falling particle populations contribute to an increase of differential reflectivity (ZDR), while an enhanced specific differential phase (KDP) in this dendritic growth temperature range is caused by both the slower and faster‐falling particle populations. Another area with frequent occurrence of multimodal Doppler spectra is in mixed‐phase layers, where both populations produce ZDR and KDP values close to 0, suggesting the occurrence of a riming process. Joint analysis of the Doppler spectra and the polarimetric radar variables provides important insight into the microphysics of snow formation and allows the separation of the contributions of ice of different habits to the values of reflectivity and ZDR.

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Linear Depolarization Ratios of Columnar Ice Crystals in a Deep Precipitating System over the Arctic Observed by Zenith-Pointing Ka-Band Doppler Radar

Cited by 54 publications

References 43 publications

Observing ice particle growth along fall streaks in mixed-phase clouds using spectral polarimetric radar data

Observing ice particle growth along fall streaks in mixed-phase clouds using spectral polarimetric radar data

Observing ice particle growth along fall streaks in mixed-phase clouds using spectral polarimetric radar data

Toward Exploring the Synergy Between Cloud Radar Polarimetry and Doppler Spectral Analysis in Deep Cold Precipitating Systems in the Arctic

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