Mesoscale Wave Motions as Revealed by Improved Wind Profile Measurements

DeMandel, R.E.; Scoggins, J. R.

doi:10.1175/1520-0450(1967)006<0617:mwmarb>2.0.co;2

Cited by 10 publications

(3 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The validity of the second assumption appears questionable from Reiter's example (1963, fig, 2.122.1, 11. 26) showing systematic departure of the coded wind message from the profile determined from original rawin ascent records and from the work of De Mandel and Scoggins ( 1967). However, for the scale for which horizontal divergence is determined in this study, the 50-mb vertical data interval should be sufficient.…”

Section: Resultsmentioning

confidence: 71%

Use of Approximating Polynomials to Estimate Profiles of Wind, Divergence, and Vertical Motion

Schmidt

Johnson

1972

Mon. Wea. Rev.

View full text Add to dashboard Cite

ABSTRACl-"Least-squares" approximating polynomials are used to suppress bias and random errors in estimating vertical profiles of winds, divergence, and vertical motion. A quadratic polynomial is used to filter each wind profile. Profiles of divergence and vertical motion computed from a linear, a cross-product, and a quadratic two-dimensional (horizontal) approximating polynomial model and from the Bellamy technique are compared. The random-error variance component of the wind observations is estimated from the filtering polynomial prediction errors. In turn, the random-error variance component of the filtered wind, divergence, and vertical motion is determined from the wind observational error variance for the various models. 'In the presence of nonlinear variation in the horizontal wind field, the Bellamy modeling assumption of linear wind variation introduces biased divergence errors. The bias divergence errors will persist through a considerable portion of the troposphere as a result of the thermal wind relation and, in the vertical integration, will cause large 'kpurious" vertical motion estimates of w at the top of the profile. Divergencc estimates from both the cross-product and the quadratic approximating polynomial models of the horizontal wind field tend to be less biased in this situation and normally produce superior vertical motion profiles.

show abstract

Section: Resultsmentioning

confidence: 71%

Use of Approximating Polynomials to Estimate Profiles of Wind, Divergence, and Vertical Motion

Schmidt

Johnson

1972

Mon. Wea. Rev.

View full text Add to dashboard Cite

show abstract

“…In particular the utiliza tion of inertial navigation systems by Axford [1968], by the Air Force Hicat program [Crooks et al, 1968] and by the National Center for Atmospheric Research-Desert Research Institute program [National Center for Atmos pheric Research, 1970] is leading to the ability to meas ure the larger turbulence scales and mesoscales, where much of the important energy generation resides, in levels above the surface boundary layer, Sheih [1971] has effectively utilize^ hot wire anemometry to measure the microscales of turbulence from an aircraft. Precision radar-tracked balloons of either the constant-level type , or with a roughened surface to improve stability [DeMandel and Scoggins, 1967], have been used to reveal details of the mesoscale wind field.…”

Section: Instrumentationmentioning

confidence: 99%

Progress in research on atmospheric turbulence

Lilly

1971

EoS Transactions

View full text Add to dashboard Cite

In ground‐ and tower‐based instrumentation for direct sensing, few, if any, new concepts have appeared, but steady improvements in technique and reliability have been reported [Dyer et al., 1967; Goddard, 1970; Hicks, 1969; Kaimal, l9687semi; Kaimal et al, 1968; Thurteil et al., 19707semi; Wesely et al., 1970], and comparisons have been made between different kinds of instruments [Businger et al., 19677; Miyake et al, 1970a], leading generally to increased knowledge and confidence in the characteristics of each. More rapid advances occurred in aircraft‐based instrumentation. In particular the utilization of inertial navigation systems by Axford [1968], by the Air Force Hicat program [Crooks et al., 1968] and by the National Center for Atmospheric Research‐Desert Research Institute program [National Center for Atmospheric Research, 1970] is leading to the ability to measure the larger turbulence scales and mesoscales, where much of the important energy generation resides, in levels above the surface boundary layer, Sheih [19717] has effectively utilized hot wire anemometry to measure the microscales of turbulence from an aircraft. Precision radar‐tracked balloons of either the constant‐level type [Angell et al., 1968], or with a roughened surface to improve stability [DeMandel and Scoggins, 1967[, have been used to reveal details of the mesoscale wind field.

show abstract

“…Apart from routine soundings, radiosonde data have been used for studying the atmospheric oscillations caused by the gravity waves in the troposphere and lower stratosphere (e.g. Murrow and Henry, 1965;De Mandel and Scoggins, 1967;Weinstein et al, 1966;Massman, 1978;Vincent and Alexander, 2000;Wang and Geller, 2003). Jimspheres, constant-volume super-pressure balloons having conical projections on the exterior surface and made from aluminised mylar-sheet, are well suited for studying the atmospheric oscillations.…”

Section: Introductionmentioning

confidence: 99%

Retrieval of static stability parameter from the radiosonde/rawinsonde ascent rate profiles: a wavelet approach

Dolas

Kumar

2009

Ann. Geophys.

View full text Add to dashboard Cite

Abstract. In the present communication a novel method is presented to derive the altitude profile of Brunt-Väisälä period from the ascent rate profile of sounding balloons. The basic premise of the present method is that the oscillations in the ascent rate of the balloon will have the signature of Brunt-Väisälä frequency, which can be retrieved by using sophisticated spectral tools. We employ wavelet transforms to arrive at the Brunt-Väisälä period profile. Comparison of retrieved Brunt-Väisälä periods with the values derived from the temperature data available from the same radiosonde ascent shows good agreement. Retrieving the atmospheric temperature from the height profile of Brunt-Väisälä period is also discussed in the present communication. We have shown that it is possible to estimate the Brunt-Väisälä period and temperature profiles from the rawinsonde ascent rate data alone where temperature sounding is not available.

show abstract

Mesoscale Wave Motions as Revealed by Improved Wind Profile Measurements

Cited by 10 publications

References 1 publication

Use of Approximating Polynomials to Estimate Profiles of Wind, Divergence, and Vertical Motion

Use of Approximating Polynomials to Estimate Profiles of Wind, Divergence, and Vertical Motion

Progress in research on atmospheric turbulence

Retrieval of static stability parameter from the radiosonde/rawinsonde ascent rate profiles: a wavelet approach

Contact Info

Product

Resources

About