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C. C. Tung and N. E. Huang

594 JOURNAL OF PHYSICAL OCEANOGRAPHY VOLUME 14Statistical Properties of the Kinematics and Dynamics of Nonlinear Waves C. C. TUNO North Carolina State University. Raleigh. NC 27695 N. E. HUANG NASA/GSFC/GLAS, Goddard Space Flight Center, Greenbelt. MD 20771 (Manuscript received 16 June 1983, in final fomi 16 October 1983

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Richard P. McNulty

662 MONTHLY WEATHER REVIEW VoLuM~I06On Upper Tropospheric Kinematics and Severe Weather Occurrence P~cBxzo P. McNuLx-National Sere Sto. ns F~e~a~l C~, Ka~ C~y, Mo. 64106(M~u~pt ~eiv~ 1 ~tember 1977, in ~ [o~ 3 Febma~ 1978) ABSTRACT Upper tropospheric wind maxima and their associated divergence fields are examined in terms of severeweather occurrence. A two-part project is

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Kimberly K. Comstock, Sandra E. Yuter, Robert Wood, and Christopher S. Bretherton

shear structure in speed or direction that corresponds with changes in cloud structure in the southeast Pacific boundary layer, shear is unlikely to be a factor in determining cloud organization. 4. Vertical cross sections of drizzle cells a. Examples In this section, the vertical structures of drizzle cells within each cloud-structure category are examined. We have chosen three examples to illustrate the drizzle cells’ kinematic structure. The first example occurred under unbroken, closed

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Jessica M. Kleiss and W. Kendall Melville

air–sea mass, momentum, and energy transfer and mixed layer dynamics ( Sullivan et al. 2004 , 2007 ). An improved understanding of breaking kinematics and dynamics is necessary for the development of improved wind wave models. A number of field studies have examined the distribution of the scale of individual breaking events, rather than bulk measurements such as whitecap coverage or breaking rate. The scale of wave breaking has historically been determined by measuring the underlying wave

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K. Schultz Tokos and T. Rossby

JUNE 1991 K. SCHULTZ TOKOS AND T. ROSSBY 879Kinematics and Dynamics of a Mediterranean Salt Lens K. SCHULTZ TOKOS* AND T. ROSSBYGraduate School of Oceanography, University of Rhode Island, Kingston, Rhode Island(Manuscript received 21 May 1990, in final form 3 January 1991) ABSTRACT Two surveys of the absolute velocity field of an eddy of Mediterranean Water

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Roger M. Wakimoto, Cathy J. Kessinger, and David E. Kingsmill

72 MONTHLY WEATHER REVIEW VOLUM-122Kinematic, Thermodynamic, and Visual Structure of Low-Refiectivity Microbursts ROGER M. WAK1MOTODepartment of Atmospheric Sciences, University of California at Los Angeles, Los Angeles. CaliforniaCATHY J. KESSINGER AND DAVID E. KINGSMILLNational Center for Atmospheric Research, * Boulder, Colorado(Manuscript received 11 January 1993, in final form 1

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J. L. Lumley and E. A. Terray

2000 JOURNAL OF PHYSICAL OCEANOGRAPHY VOLUM-13Kinematics of Turbulence Convected by a Random Wave Field J. L. LUMLEY AND E. A. TERRAYlSibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14853(Manuscript received 24 January 1983, in final form 30 July 1983) ABSTRACT Turbulent velocity spectra measured benenth wind waves show a large enhancement

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B. A. Elliott and T. B. Sanford

MARCH 1986 B.A. ELLIOTT AND T. B. SANFORD 549The Subthermocline Lens D1. Part II: Kinematics and Dynamics* B. A. ELLIOTTCooperative Institute for Marine and Atmospheric Studies, University of Miami, Miami, FL 33149 T. B. SANFORDApplied Physics Laboratory and School of Oceanography, College of Ocean and Fishery Sciences, University of Washington, Seattle, WA 98105 (Manuscript received

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Edwin Kessler III

: Pattern in the vertical of snow generation. J. Meteor., 14, 95-114. (See p. 106.)4. Kessler, E., 111, 1956: Radar-synoptic analysis of a severe winter storm. Geophys. Res. Pap. No. 56, Geophys. Res.. Direct., AFRD.AvGus'r 1961 ED\\-IS KESSLER, 1115255. Kessler, E., 111, 1959: Kinematical relations between wind6. Rogers, C. W. C., 1959: Note on vertical variation in radarERRATUM and precipitation distributions. J. Meteor., 16, 630-637. In reference [SI, page 635

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Samuel K. Degelia, Xuguang Wang, and David J. Stensrud

moist layer that is key to generating nocturnal CI. Peters et al. (2017) connect errors in mesoscale convective system (MCS) forecasts to moisture biases, and in the simulations with negative moisture biases the models produce errors in both CI timing and location due to the parcels requiring additional residence time within the lifting regions. Assimilating kinematic and thermodynamic observations can improve many of the above issues related to forecasting nocturnal CI. Recently, Degelia et al

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