Airborne Remote Detection of Turbulence with Forward-Pointing LIDAR

Vrancken, Patrick

doi:10.1007/978-3-319-23630-8_22

Cited by 15 publications

(11 citation statements)

References 58 publications

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“…Leosphere Cube LIDAR (Thobois et al 2018), and 3) Lockheed Martin Coherent Technologies (Tobia et al, 2018). Examples of turbulence estimation from LIDARs can be found in e.g., Frehlich and Cornman (2002), Hill et al (2010), Chan (2016), andVrancken (2016).…”

Section: Figurementioning

confidence: 99%

A Review of High Impact Weather for Aviation Meteorology

Gültepe

Sharman

Williams

et al. 2019

Pure Appl. Geophys.

219

121

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This review paper summarizes current knowledge available for aviation operations related to meteorology and provides suggestions for necessary improvements in the measurement and prediction of weather-related parameters, new physical methods for numerical weather predictions (NWP), and next-generation integrated systems. Severe weather can disrupt aviation operations on the ground or in-flight. The most important parameters related to aviation meteorology are wind and turbulence, fog visibility (Vis) and ceiling, rain and snow amount and rates, icing, ice microphysical parameters, convection and precipitation intensity, microbursts, hail, and lightning. Measurements of these parameters are also functions of sensor response times and measurement thresholds in extreme weather conditions. In addition to these, airport environments can play an important role leading to intensification of extreme weather conditions or high impact weather events, e.g., anthropogenic ice fog. To observe meteorological parameters, new remote sensing platforms, namely wind LIDAR, sodars, radars, and geostationary satellites, and in-situ observations at the surface and in the cloud, as well as aircraft and Unmanned Aerial Vehicles (UAV) mounted sensors, are becoming more common. Because of prediction issues at smaller time and space scales (e.g., <1 km), meteorological forecasts from NWP models need to be continuously improved. Aviation weather forecasts also need to be developed to provide information that represents both deterministic and statistical approaches. In this review, we present available resources and issues for aviation meteorology and evaluate them for required improvements related to measurements, nowcasting, forecasting, and climate change, and emphasize future challenges.

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Section: Figurementioning

confidence: 99%

A Review of High Impact Weather for Aviation Meteorology

Gültepe

Sharman

Williams

et al. 2019

Pure Appl. Geophys.

219

121

View full text Add to dashboard Cite

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“…The idea is to measure the disturbance shortly before encountering it and to counteract it: this type of LIDAR should not be confused with LIDAR systems that aim at detecting the presence of turbulence well in advance (several kilometers) in order to avoid the area. This other type of LIDAR systems was for instance investigated in the DELICAT European project [47,48] and further explanations on the different types of forward-pointing LIDAR systems can be found in [46]. For the sake of simplifying the explanations, only a so-called direct-detection pulsed Doppler LIDAR [43,41,46,22,5,21,49] is considered hereafter.…”

Section: Remote Wind Sensing With Doppler Lidarmentioning

confidence: 99%

“…This other type of LIDAR systems was for instance investigated in the DELICAT European project [47,48] and further explanations on the different types of forward-pointing LIDAR systems can be found in [46]. For the sake of simplifying the explanations, only a so-called direct-detection pulsed Doppler LIDAR [43,41,46,22,5,21,49] is considered hereafter. Nevertheless, the measurement processing approach and feedforward strategy could easily be adapted to other types/variants of remote wind sensors.…”

Section: Remote Wind Sensing With Doppler Lidarmentioning

confidence: 99%

Gust load alleviation for a long-range aircraft with and without anticipation

Fezans¹,

Joos²,

Deiler³

2019

CEAS Aeronaut J

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This paper presents an overview of the DLR activities on active load alleviation in the CleanSky Smart Fixed Wing Aircraft project. The investigations followed two main research directions: the multi-objective, multimodel, structured controller design for the feedback load alleviation part and the use of Doppler LIDAR technologies for gust/turbulence anticipation. On this latter topic, the prior work made in the AWIATOR European FP6 project constituted a reference in terms of demonstrations and the objective was not to repeat these previous investigations with a real sensor in flight test but to develop new ideas for the exploitation of the Doppler LIDAR measurements for gust alleviation purposes. Very fruitful exchanges between industry partners and research organizations took place during this project and all the work presented in this paper has been made using a generic long-range benchmark provided by Airbus on the basis of the XRF-1 model.

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“…Actually, this application has been under discussion since the invention of laser and lidar [5]. In fact, test flights of virtually all generations of coherent DWLs (from CO 2 to solid-state and fiber laser technology) and direct-detection DWLs have been undertaken since the early 1970s [6].…”

Section: Introductionmentioning

confidence: 99%

Aeronautics Application of Direct-Detection Doppler Wind Lidar: An Adapted Design Based on a Fringe-Imaging Michelson Interferometer as Spectral Analyzer

Vrancken

Herbst

2022

Remote Sensing

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We report on the development of a novel direct-detection Doppler wind lidar (DD-DWL) within the strong requirements of an aeronautic feed-forward control application for gust load alleviation (GLA). This DD-DWL is based on fringe imaging of the Doppler-shifted backscatter of ultraviolet laser pulses in a field-widened Michelson interferometer (FW-FIMI) using a fast linear photodetector. The double approach of detailed simulation and demonstrator development is validated by field measurements with reference wind sensing instrumentation. These experiments allow us to establish wind determination precision at a high repeat rate, short range resolution and close distance of approximately 0.5 m/s, which is in accordance with the dedicated simulations. These findings lead us to the conclusion that this FW-FIMI-based Doppler wind lidar is a pertinent development meeting the special requirements of this aeronautics application. Second, the developed simulators are well suited (given their validation) to be used in the overall and full analysis as well as the optimization of the lidar-based GLA control scheme.

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Airborne Remote Detection of Turbulence with Forward-Pointing LIDAR

Cited by 15 publications

References 58 publications

A Review of High Impact Weather for Aviation Meteorology

A Review of High Impact Weather for Aviation Meteorology

Gust load alleviation for a long-range aircraft with and without anticipation

Aeronautics Application of Direct-Detection Doppler Wind Lidar: An Adapted Design Based on a Fringe-Imaging Michelson Interferometer as Spectral Analyzer

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