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Anthony C. Didlake Jr. and Matthew R. Kumjian

) confirmed the stratiform nature of rainband precipitation in these quadrants. May and Holland (1999) and Didlake and Houze (2013b) examined the kinematics associated with the stratiform rainband precipitation also occurring in the left-of-shear half. Modeling studies also identify this azimuthal organization of the rainband complex (e.g., Moon and Nolan 2015 ). Based on these studies, the pronounced transition from convective to stratiform polarimetric signals between the DR and DL quadrants is

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W. D. Bonner, S. Esbensen, and R. Greenberg

Jux~1968 w. D. BONNER, S. ESBENSEN AND R. GREENBERG 339Kinematics of the Low-Level Jet~ W. D. ]~ONNER, S. ~ESBENSEN AND R. GREENBERGUniversity of Cal&ornla, Los Angeles(Manuscript received 17 November 1967, in revised form 18 February 1968)ABSTRACT Winds and vertical velocities are examined in ten southerly low-level jets and then averaged in coordinatesystems centered on the jet. The jet at 0600

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Frank Roux

406 JOURNAL OF THE ATMOSPHERIC SCIENCES VOL. 45, No. 3The West African Squall Line Observed on 23 June 1981 during COPT 81: Kinematics and Thermodynamics of the Convective Region FRANK ROUXCentre de Recherches en Physique de l'Environnement Terrestre et Planitaire CNET/CNRS), l~sy-Les.Moulineaux, Fiance(Manuscript received 2 March 1987, in final form 31 August 1987) The squall line

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Alain Protat, Isztar Zawadzki, and Alain Caya

of the previous discussion, the purpose of this observational study is therefore to document the life cycle of this shallow hailstorm through analysis of the retrieved kinematic and thermodynamic quantities, to infer the possible dynamic interactions between the two neighboring cells, and to examine specific dynamic characteristics of such shallow systems with respect to stronger tornadic storms. To achieve these objectives, 14 successive retrievals of the 3D fields of reflectivity, wind, and

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Alexandre O. Fierro, Robert F. Rogers, Frank D. Marks, and David S. Nolan

work arose from recent studies comparing TC microphysics fields from high-resolution numerical simulations with airborne Doppler vertical motion and reflectivity measurements ( McFarquhar et al. 2006 ; Rogers et al. 2007 , hereafter R07 ). Both of these studies found discrepancies between simulated and observed kinematic and microphysical distributions. For instance, R07 found in their fifth-generation Pennsylvania State University–National Center of Atmospheric Research (PSU–NCAR) Mesoscale

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Maximilian Maahn and Ulrich Löhnert

the right slope S r of the radar Doppler maximum peak are also investigated. While σ , γ , and κ have the advantage that they are not influenced by radar calibration, they are strongly influenced by turbulence. Therefore, the retrieval implemented in this study provides not only microphysical properties—such as particle-size distribution, mass–size relation, and cross section–area relation—but also kinematic variables, such as vertical air motion and turbulent spectral broadening. Lack of

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Michel Chong, Paul Amayenc, Georges Scialom, and Jacques Testud

670 , MONTHLY WEATHER REVIEW VOLUM-115A Tropical Squall Line Observed during the COlT 81 Experiment in West Africa. Part 1: Kinematic Structure Inferred from Dual-Doppler Radar Data MICHEL CHONG, PAUL AMAYENC, GEORGES SCIALOM AND JACQUES TESTUDC.N.E.T.-C.N.R.$., Centre de Recherche en Physique de I'Environnement Terrestre et Plandtaire, 92131 Issy-les. Moulineaux, France

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Kara J. Sulia, Jerry Y. Harrington, and Hugh Morrison

twofold. First, the implementation of the bulk adaptive habit method of Part I into a two-dimensional (2D) kinematic Eulerian model framework (specified flow field; see section 4 ) is demonstrated with advection of ice particle properties in space (e.g., Morrison and Grabowski 2008a ). Second, the possible influences of ice aspect ratio prediction on mixed-phase cloud evolution and phase partitioning are shown in order to examine widely used ice growth methods and the consequences associated with

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Andreas Stohl, Gerhard Wotawa, Petra Seibert, and Helga Kromp-Kolb

)ABSTRACT This paper discusses some of the uncertainties that influence kinematic trajectory calculations. The interpolationerrors due to different interpolation schemes are examined by degrading high-resolution wind fields from anumerical weather prediction model with respect to space and time. Under typical circumstances, the greatesterrors are due to temporal interpolation, followed by horizontal and vertical interpolation. Relative errors inthe vertical wind are higher than those in the

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Yasushi Fujiyoshi, Naohiro Yoshimoto, and Takao Takeda

confirmed the observational results reported by Brümmer et al. (1992) . Rao and Agee (1996) emphasized that the evaporation of particles in the subcloud layer and particle loading may greatly affect the airflow structures of the rolls. These studies indicate that precipitating cloud bands have different airflow structures from cloud-free horizontal roll vortices and nonprecipitating shallow cloud streets. In recent years, the kinematic structures of snowstorms have been actively investigated over

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