An assessment of the performance of a 1.5 μm Doppler lidar for operational vertical wind profiling based on a 1-year trial

Päschke, Eileen; Leinweber, Ronny; Lehmann, Volker

doi:10.5194/amt-8-2251-2015

Cited by 104 publications

(174 citation statements)

References 18 publications

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“…The eye-safe laser transmitter vertically pointing to zenith operates at 1.5 µ , with low pulse energy (~100µ ) and high pulse repetition rate (~15 ) on a monostatic coaxial set up. See Päschke et al (2015) for 20 further information of the system configuration.…”

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confidence: 99%

Hygroscopic growth study in the framework of EARLINET during the SLOPE I campaign: synergy of remote sensing and in-situ instrumentation

Bedoya-Velásquez¹,

Navas-Guzmán²,

Granados-Muñoz³

et al. 2017

Preprint

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25This work focuses on the study of aerosol hygroscopic growth during Sierra Nevada Lidar AerOsol Profiling Experiment (SLOPE I) campaign by using the synergy of active and passive remote sensors at Granada valley station (IISTA-CEAMA station) and in-situ instrumentation at a mountain station (Sierra Nevada station, SNS), located ~20 km away from IISTA-CEAMA and about 1 km above this station. To this end, a methodology based on the combination of calibrated water vapour mixing ratio ( ) profiles, retrieved from an EARLINET multiwavelength Raman lidar (RL), and continuous temperature 30 profiles from a microwave radiometer (MWR) for obtaining relative humidity ( ) profiles with high temporal resolution is used. This methodology is validated against an approach using radiosounding (RS) data at the EARLINET IISTA-CEAMA station, achieving differences in hygroscopic growth parameter ( ) lower than 5% between the methodology based on RS and that based on remote sensing. During SLOPE I the remote sensing methodology used for aerosol hygroscopic growth studies has been checked using Mie calculations with in-situ measurements at SNS. For SLOPE I case with remote sensing 35 instrumentation, an increase in particle backscatter coefficient at 355 and 532 nm is observed from 1.5 to 2.4 km a.s.l. in the 2 relative humidity range of 78-98%, but also a decrease on Ångström exponent (AE) and particle linear depolarization ratio (PLDR). This fact indicates that particles become larger and more spherical as relative humidity increases, what is strongly related to aerosol hygroscopic growth. In addition, atmospheric stability is checked ensuring well-mixed layers.Vertical and horizontal wind analysis is performed by means of a co-located Doppler lidar system at IISTA-CEAMA station, in order to evaluate the horizontal and vertical dynamics of the air masses. Finally, the Hänel parameterization is applied to 5 experimental data for both stations, obtaining relative differences between RL and Mie simulations up to 13 % and 10 % for 532 nm and 355 nm, respectively.

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confidence: 99%

Hygroscopic growth study in the framework of EARLINET during the SLOPE I campaign: synergy of remote sensing and in-situ instrumentation

Bedoya-Velásquez¹,

Navas-Guzmán²,

Granados-Muñoz³

et al. 2017

Preprint

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“…Furthermore, all points with an instrumental wind speed error greater than 0.5 m s −1 and unphysical wind speed values exceeding 30 m s −1 were removed. The radial wind speed measurements were used to compute time series of horizontal wind profiles from both PPI scanning patterns, applying the velocity-azimuth-display (VAD) technique [94]. The VAD technique assumes horizontal homogeneity, and the applied method checks this assumption by testing the collinearity.…”

Section: Data Processingmentioning

confidence: 99%

Innovative Strategies for Observations in the Arctic Atmospheric Boundary Layer (ISOBAR)—The Hailuoto 2017 Campaign

et al. 2018

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Abstract:The aim of the research project "Innovative Strategies for Observations in the Arctic Atmospheric Boundary Layer (ISOBAR)" is to substantially increase the understanding of the stable atmospheric boundary layer (SBL) through a combination of well-established and innovative observation methods as well as by models of different complexity. During three weeks in February 2017, a first field campaign was carried out over the sea ice of the Bothnian Bay in the vicinity of the Finnish island of Hailuoto. Observations were based on ground-based eddy-covariance (EC), automatic weather stations (AWS) and remote-sensing instrumentation as well as more than 150 flight missions by several different Unmanned Aerial Vehicles (UAVs) during mostly stable and very stable boundary layer conditions. The structure of the atmospheric boundary layer (ABL) and above could be resolved at a very high vertical resolution, especially close to the ground, by combining surface-based measurements with UAV observations, i.e., multicopter and fixed-wing profiles up to 200 m agl and 1800 m agl, respectively. Repeated multicopter profiles provided detailed information on the evolution of the SBL, in addition to the continuous SODAR and LIDAR windAtmosphere 2018, 9, 268; doi:10.3390/atmos9070268www.mdpi.com/journal/atmosphereAtmosphere 2018, 9, 268 2 of 29 measurements. The paper describes the campaign and the potential of the collected data set for future SBL research and focuses on both the UAV operations and the benefits of complementing established measurement methods by UAV measurements to enable SBL observations at an unprecedented spatial and temporal resolution.

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“…Gryning et al, 2016), which corresponds to an uncertainty of about 0.15 m s −1 . The uncertainty is calculated for each radial velocity component separately and propagated into the geographic wind components calculated using the formulations from Päschke et al (2015). The error in the radial winds is represented by a diagonal [5 × 5] matrix C V r V r with the (squared) errors on its diagonal [σ 2 e0 , σ 2 e90 , σ 2 e180 , σ 2 e270 , σ 2 eZ ].…”

Section: Doppler Lidar Data Qualitymentioning

confidence: 99%

“…The fifth row represents the vertical beam for which φ = 0 • . According to Päschke et al (2015), the geographic wind components can be derived using the matrix operation…”

Section: Doppler Lidar Measurementsmentioning

confidence: 99%

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2017

Quart J Royal Meteoro Soc

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A new methodology is proposed for scaling Doppler lidar observations of wind gusts to make them comparable with those observed at a meteorological mast. Doppler lidars can then be used to measure wind gusts in regions and heights where traditional meteorological mast measurements are not available. This novel method also provides estimates for wind gusts at arbitrary gust durations, including those shorter than the temporal resolution of the Doppler lidar measurements. The input parameters for the scaling method are the measured wind-gust speed as well as the mean and standard deviation of the horizontal wind speed. The method was tested using WindCube V2 Doppler lidar measurements taken next to a 100 m high meteorological mast. It is shown that the method can provide realistic Doppler lidar estimates of the gust factor, i.e. the ratio of the wind-gust speed to the mean wind speed. The method reduced the bias in the Doppler lidar gust factors from 0.07 to 0.03 and can be improved further to reduce the bias by using a realistic estimate of turbulence. Wind gust measurements are often prone to outliers in the time series, because they represent the maximum of a (moving-averaged) horizontal wind speed. To assure the data quality in this study, we applied a filtering technique based on spike detection to remove possible outliers in the Doppler lidar data. We found that the spike detection-removal method clearly improved the wind-gust measurements, both with and without the scaling method. Spike detection also outperformed the traditional Doppler lidar quality assurance method based on carrier-to-noise ratio, by removing additional unrealistic outliers present in the time series.

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An assessment of the performance of a 1.5 μm Doppler lidar for operational vertical wind profiling based on a 1-year trial

Cited by 104 publications

References 18 publications

Hygroscopic growth study in the framework of EARLINET during the SLOPE I campaign: synergy of remote sensing and in-situ instrumentation

Hygroscopic growth study in the framework of EARLINET during the SLOPE I campaign: synergy of remote sensing and in-situ instrumentation

Innovative Strategies for Observations in the Arctic Atmospheric Boundary Layer (ISOBAR)—The Hailuoto 2017 Campaign

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