2014
DOI: 10.5194/amt-7-3215-2014
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Calibrating airborne measurements of airspeed, pressure and temperature using a Doppler laser air-motion sensor

Abstract: Abstract.A new laser air-motion sensor measures the true airspeed with a standard uncertainty of less than 0.1 m s −1 and so reduces uncertainty in the measured component of the relative wind along the longitudinal axis of the aircraft to about the same level. The calculated pressure expected from that airspeed at the inlet of a pitot tube then provides a basis for calibrating the measurements of dynamic and static pressure, reducing standard uncertainty in those measurements to less than 0.3 hPa and the preci… Show more

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Cited by 11 publications
(5 citation statements)
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References 25 publications
(32 reference statements)
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“…Whereas crewed research aircraft typically perform welldescribed calibration and validation manoeuvres (Haering, 1990;Drüe et al, 2008;Bange et al, 2013;Cooper et al, 2014;Mallaun et al, 2015;Hartmann et al, 2018), which can also be applied to drone systems, the following techniques freely adopted from Bärfuss et al (2018) were used within this study to determine correction parameters:…”
Section: Appendix B: Calibration Techniquementioning
confidence: 99%
“…Whereas crewed research aircraft typically perform welldescribed calibration and validation manoeuvres (Haering, 1990;Drüe et al, 2008;Bange et al, 2013;Cooper et al, 2014;Mallaun et al, 2015;Hartmann et al, 2018), which can also be applied to drone systems, the following techniques freely adopted from Bärfuss et al (2018) were used within this study to determine correction parameters:…”
Section: Appendix B: Calibration Techniquementioning
confidence: 99%
“…Accurate wind measurements are demanding in particular for fast-flying jets because the wind vector is the relatively small difference between the measured velocity vector of the aircraft with respect to Earth and the measured velocity vector of the air with respect to the aircraft (Lenschow 1986). The measurements combine position and attitude data from inertial navigation platforms and satellite navigation systems, and air velocity and angleof-attack data from static and dynamic pressure and temperature sensors at the aircraft fuselage and nose (Cooper et al 2014;Mallaun et al 2015;Giez et al 2017). These techniques allow to derive spectra of vertical energy and momentum fluxes in mountain gravity waves (Smith et al 2016).…”
Section: Introductionmentioning
confidence: 99%
“…The DEEPWAVE GV gravity wave surveys benefited from recent improved calibrations of aircraft wind and pressure sensors (Cooper et al 2014). We also had redundant sensors for wind, pressure, and geometric altitude.…”
Section: A Data Quality and Flux Uncertaintymentioning
confidence: 99%
“…These improvements were accomplished in part with the use of a Doppler laser air motion sensor that could detect the aircraft airspeed more accurately than the conventional pitot-static pressure method (Cooper et al 2014). While this lidar was not used in .…”
Section: Measurement Uncertaintymentioning
confidence: 99%
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