The Theoretical, Discrete, and Actual Response of the Barnes Objective Analysis Scheme for One- and Two-Dimensional Fields

Pauley, Patricia M.; Wu, Xiaihua

doi:10.1175/1520-0493(1990)118<1145:ttdaar>2.0.co;2

Cited by 71 publications

(71 citation statements)

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“…The nearest 200 radar data points within the cutoff distance are used for interpolation at each grid point, but the number of data points would be less than 200 in sparse radar data regions (e.g., far distance from the radar). Several choices for weighting functions and their free parameters are found throughout the literature (e.g., Cressman, 1959;Barnes, 1964;Pauley and Wu, 1990;Askelson et al, 2000Trapp and Doswell, 2000); however, the weighting function used in this study is desirable for the preservation of phase and amplitude information of the input radar data, as well as its relative insensitivity to the spatial characteristics of the input data (Trapp and Doswell, 2000).…”

Section: Mapping To the Cartesian Coordinate Gridsupporting

confidence: 83%

Vertical air motion retrievals in deep convective clouds using the ARM scanning radar network in Oklahoma during MC3E

et al. 2017

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Abstract. The US Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) program's Southern Great Plains (SGP) site includes a heterogeneous distributed scanning Doppler radar network suitable for collecting coordinated Doppler velocity measurements in deep convective clouds. The surrounding National Weather Service (NWS) Next Generation Weather Surveillance Radar 1988 Doppler (NEXRAD WSR-88D) further supplements this network. Radar velocity measurements are assimilated in a three-dimensional variational (3DVAR) algorithm that retrieves horizontal and vertical air motions over a large analysis domain (100 km × 100 km) at storm-scale resolutions (250 m). For the first time, direct evaluation of retrieved vertical air velocities with those from collocated 915 MHz radar wind profilers is performed. Mean absolute and root-meansquare differences between the two sources are of the order of 1 and 2 m s −1 , respectively, and time-height correlations are of the order of 0.5. An empirical sensitivity analysis is done to determine a range of 3DVAR constraint weights that adequately satisfy the velocity observations and anelastic mass continuity. It is shown that the vertical velocity spread over this range is of the order of 1 m s −1 . The 3DVAR retrievals are also compared to those obtained from an iterative upwards integration technique. The results suggest that the 3DVAR technique provides a robust, stable solution for cases in which integration techniques have difficulty satisfying velocity observations and mass continuity simultaneously.

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Section: Mapping To the Cartesian Coordinate Gridsupporting

confidence: 83%

Vertical air motion retrievals in deep convective clouds using the ARM scanning radar network in Oklahoma during MC3E

et al. 2017

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“…In addition, vertical, temporal, and horizontal cutoff radii of 4, 4, and 4␤, respectively, have been used. These are well within the guidelines suggested by Pauley and Wu (1990). …”

Section: Four-dimensional Technique a Description Of The Objective Amentioning

confidence: 99%

A Four-Dimensional Objective Analysis Scheme and Multitriangle Technique for Wind Profiler Data

Spencer¹,

Janish²,

Doswell³

1999

Mon. Wea. Rev.

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A 4D Barnes objective analysis scheme for wind profiler data is developed in order to improve upon previously developed 2D analysis schemes. A significant shortcoming of the 2D schemes is their sensitivity to gaps in the profiler time-height series; they may produce unrealistic gradient information if large data-void regions are present. The 4D analysis scheme described herein, however, provides an effective means for dealing with data voids within profiler time-height series. The 4D analysis scheme differs from the 2D techniques in that data from neighboring profiler stations affect the time-height wind analysis at each site. This allows the analysis scheme to produce smooth, spatially and temporally consistent time-height wind analyses for each station of the Wind Profiler Network (WPN), even if large data gaps are present.Gridded time-height wind fields at each profiler site resulting from the 4D analysis scheme are provided as input to a line integral-equivalent technique that is applied over many WPN triangles for the purpose of diagnosing the kinematic and thermodynamic structure of subsynoptic-scale weather systems. Time-height series of trianglederived variables have been proven elsewhere to be an effective method for diagnosing subsynoptic-scale temporal structure of weather systems; mapping the irregularly spaced triangle information onto a regular, quasihorizontal grid provides a complementary perspective of their spatial structure and evolution.

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“…This results in δ varying from 0.534 to 0.208 km. The smoothing parameter [k = (1.33δ) 2 ; Pauley and Wu 1990] and grid spacing (Δ = δ/2.5; Koch et al 1983) were set appropriately. Only the 0.5° elevation angle scan was included in the analysis as we are most interested in the low-level spatial relationship between the TDS, condensation funnel, and the damage track.…”

Section: Data Analysis Methodologymentioning

confidence: 99%

An Integrated Damage, Visual, and Radar Analysis of the 2013 Moore, Oklahoma, EF5 Tornado

Atkins

Butler

Flynn

et al. 2014

Bull. Amer. Meteor. Soc.

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The Theoretical, Discrete, and Actual Response of the Barnes Objective Analysis Scheme for One- and Two-Dimensional Fields

Cited by 71 publications

References 1 publication

Vertical air motion retrievals in deep convective clouds using the ARM scanning radar network in Oklahoma during MC3E

Vertical air motion retrievals in deep convective clouds using the ARM scanning radar network in Oklahoma during MC3E

A Four-Dimensional Objective Analysis Scheme and Multitriangle Technique for Wind Profiler Data

An Integrated Damage, Visual, and Radar Analysis of the 2013 Moore, Oklahoma, EF5 Tornado

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