Vertical Wind Component Estimates up to 1.2 km above Ground

1970 ◽  
Vol 9 (1) ◽  
pp. 64-71 ◽  
Author(s):  
Laurence J. Rider ◽  
Manuel Armendariz
Keyword(s):  
Vertical Wind ◽  
Wind Component

scholarly journals The Coplane Analysis Technique for Three-Dimensional Wind Retrieval Using the HIWRAP Airborne Doppler Radar

2015 ◽  
Vol 54 (3) ◽  
pp. 605-623 ◽  
Author(s):  
Anthony C. Didlake ◽  
Gerald M. Heymsfield ◽  
Lin Tian ◽  
Stephen R. Guimond
Keyword(s):  
Global Optimization ◽  
Doppler Radar ◽  
Three Dimensional ◽  
Optimization Method ◽  
Vertical Wind ◽  
Wind Component ◽  
Global Optimization Method ◽  
Analysis Technique ◽  
Radar Measurements ◽  
Cross Track

AbstractThe coplane analysis technique for mapping the three-dimensional wind field of precipitating systems is applied to the NASA High-Altitude Wind and Rain Airborne Profiler (HIWRAP). HIWRAP is a dual-frequency Doppler radar system with two downward-pointing and conically scanning beams. The coplane technique interpolates radar measurements onto a natural coordinate frame, directly solves for two wind components, and integrates the mass continuity equation to retrieve the unobserved third wind component. This technique is tested using a model simulation of a hurricane and compared with a global optimization retrieval. The coplane method produced lower errors for the cross-track and vertical wind components, while the global optimization method produced lower errors for the along-track wind component. Cross-track and vertical wind errors were dependent upon the accuracy of the estimated boundary condition winds near the surface and at nadir, which were derived by making certain assumptions about the vertical velocity field. The coplane technique was then applied successfully to HIWRAP observations of Hurricane Ingrid (2013). Unlike the global optimization method, the coplane analysis allows for a transparent connection between the radar observations and specific analysis results. With this ability, small-scale features can be analyzed more adequately and erroneous radar measurements can be identified more easily.

On the use of the synoptic vertical wind component in a transport trajectory model

1987 ◽  
Vol 21 (1) ◽  
pp. 45-52 ◽  
Author(s):  
Daniel Martin ◽  
Corinne Mithieux ◽  
Bernard Strauss
Keyword(s):  
Vertical Wind ◽  
Wind Component ◽  
Trajectory Model

scholarly journals Comparison of bivane and sonic techniques for measuring the vertical wind component

1964 ◽  
Vol 90 (386) ◽  
pp. 467-472 ◽  
Author(s):  
J. C. Kaimal ◽  
H. E. Cramer ◽  
F. A. Record ◽  
J. E. Tillman ◽  
J. A. Businger ◽  
...  
Keyword(s):  
Vertical Wind ◽  
Wind Component

scholarly journals Cornice modular wind collector © for collection and amplification of the vertical wind component in buildings for generation of small wind electric energy

2011 ◽  
pp. 1333-1337
Author(s):  
J.C. Sáenz Díez Muro ◽  
J.M. Blanco Barrero ◽  
E. Jiménez Macías ◽  
J. Blanco Fernández ◽  
M. Pérez de la Parte
Keyword(s):  
Electric Energy ◽  
Vertical Wind ◽  
Wind Component

Altitude-latitude structure of the vertical wind component of the migrating diurnal tide in the range of heights from 80 to 100 km

2012 ◽  
Vol 48 (2) ◽  
pp. 174-184 ◽  
Author(s):  
E. G. Merzlyakov ◽  
Yu. I. Portnyagin ◽  
T. V. Solov’eva ◽  
A. I. Pogoreltsev ◽  
E. V. Suvorova
Keyword(s):  
Vertical Wind ◽  
Diurnal Tide ◽  
Wind Component

The Variation With Height of the Non-Geostrophic Component of the Wind

1946 ◽  
Vol 27 (9) ◽  
pp. 532-536
Author(s):  
Joseph Vederman
Keyword(s):  
Vertical Velocity ◽  
General Equation ◽  
Wind Shear ◽  
Vertical Wind Shear ◽  
Geostrophic Wind ◽  
Equation Of Motion ◽  
Vertical Wind ◽  
Wind Component ◽  
Order Of Magnitude ◽  
Local Derivative

The general equation of motion for horizontal, frictionless motion is differentiated with respect to height. The total vertical wind shear is shown to be composed of five parts: the shear of (a) the geostrophic wind, (b) the local derivative, (c) the wind component due to the convergence or divergence of the streamlines, (d) the cyclostrophic component of the wind, and (e) the wind component associated with the vertical velocity. Except for the last term, which is smaller, these terms may be of the same order of magnitude.

scholarly journals Measuring the 3-D wind vector with a weight-shift microlight aircraft

2011 ◽  
Vol 4 (7) ◽  
pp. 1421-1444 ◽  
Author(s):  
S. Metzger ◽  
W. Junkermann ◽  
K. Butterbach-Bahl ◽  
H. P. Schmid ◽  
T. Foken
Keyword(s):  
Dynamic Pressure ◽  
Lift Coefficient ◽  
Vertical Wind ◽  
Horizontal Wind ◽  
Wind Component ◽  
Wind Vector ◽  
Flow Distortion ◽  
Flow Angle ◽  
Wind Measurement ◽  
Weight Shift

Abstract. This study investigates whether the 3-D wind vector can be measured reliably from a highly transportable and low-cost weight-shift microlight aircraft. Therefore we draw up a transferable procedure to accommodate flow distortion originating from the aircraft body and -wing. This procedure consists of the analysis of aircraft dynamics and seven successive calibration steps. For our aircraft the horizontal wind components receive their greatest single amendment (14 %, relative to the initial uncertainty) from the correction of flow distortion magnitude in the dynamic pressure computation. Conversely the vertical wind component is most of all improved (31 %) by subsequent steps considering the 3-D flow distortion distribution in the flow angle computations. Therein the influences of the aircraft's trim (53 %), as well as changes in the aircraft lift (16 %) are considered by using the measured lift coefficient as explanatory variable. Three independent lines of analysis are used to evaluate the quality of the wind measurement: (a) A wind tunnel study in combination with the propagation of sensor uncertainties defines the systems input uncertainty to ≈0.6 m s−1 at the extremes of a 95 % confidence interval. (b) During severe vertical flight manoeuvres the deviation range of the vertical wind component does not exceed 0.3 m s−1. (c) The comparison with ground based wind measurements yields an overall operational uncertainty (root mean square error) of ≈0.4 m s−1 for the horizontal and ≈0.3 m s−1 for the vertical wind components. No conclusive dependence of the uncertainty on the wind magnitude (<8 m s−1) or true airspeed (ranging from 23–30 m s−1) is found. Hence our analysis provides the necessary basis to study the wind measurement precision and spectral quality, which is prerequisite for reliable Eddy-Covariance flux measurements.

Sign in / Sign up

Export Citation Format

Share Document