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Journal articles on the topic 'Doppler lidar'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Liu, Zhengliang, Janet F. Barlow, Pak-Wai Chan, et al. "A Review of Progress and Applications of Pulsed Doppler Wind LiDARs." Remote Sensing 11, no. 21 (2019): 2522. http://dx.doi.org/10.3390/rs11212522.

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Doppler wind LiDAR (Light Detection And Ranging) makes use of the principle of optical Doppler shift between the reference and backscattered radiations to measure radial velocities at distances up to several kilometers above the ground. Such instruments promise some advantages, including its large scan volume, movability and provision of 3-dimensional wind measurements, as well as its relatively higher temporal and spatial resolution comparing with other measurement devices. In recent decades, Doppler LiDARs developed by scientific institutes and commercial companies have been well adopted in

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2

Stawiarski, Christina, Katja Träumner, Christoph Knigge, and Ronald Calhoun. "Scopes and Challenges of Dual-Doppler Lidar Wind Measurements—An Error Analysis." Journal of Atmospheric and Oceanic Technology 30, no. 9 (2013): 2044–62. http://dx.doi.org/10.1175/jtech-d-12-00244.1.

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Abstract Pulsed Doppler lidars are powerful tools for long-range, high-resolution measurements of radial wind velocities. With the development of commercial Doppler lidars and the reduction of acquisition costs, dual-Doppler lidar systems will be become increasingly accessible in upcoming years. This study reviews the most common dual-Doppler techniques, describes the setup of a highly synchronized long-range dual-Doppler lidar system, and discusses extensively the different kinds of errors connected with this complex measurement technique. Sources of errors and their interactions are traced t

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3

ISHII, Shoken. "Doppler Lidar." Wind Engineers, JAWE 34, no. 3 (2009): 341–44. http://dx.doi.org/10.5359/jawe.34.341.

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4

Yang, Shu, Fengchao Peng, Sibylle von Löwis, Guðrún Nína Petersen, and David Christian Finger. "Using Machine Learning Methods to Identify Particle Types from Doppler Lidar Measurements in Iceland." Remote Sensing 13, no. 13 (2021): 2433. http://dx.doi.org/10.3390/rs13132433.

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Doppler lidars are used worldwide for wind monitoring and recently also for the detection of aerosols. Automatic algorithms that classify the lidar signals retrieved from lidar measurements are very useful for the users. In this study, we explore the value of machine learning to classify backscattered signals from Doppler lidars using data from Iceland. We combined supervised and unsupervised machine learning algorithms with conventional lidar data processing methods and trained two models to filter noise signals and classify Doppler lidar observations into different classes, including clouds,

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5

Newsom, Rob K., David Ligon, Ron Calhoun, Rob Heap, Edward Cregan, and Marko Princevac. "Retrieval of Microscale Wind and Temperature Fields from Single- and Dual-Doppler Lidar Data." Journal of Applied Meteorology 44, no. 9 (2005): 1324–45. http://dx.doi.org/10.1175/jam2280.1.

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Abstract Dual-Doppler lidar observations are used to assess the accuracy of single-Doppler retrievals of microscale wind and temperature fields in a shear-driven convective boundary layer. The retrieval algorithm, which is based on four-dimensional variational data assimilation, is applied by using dual- and single-Doppler lidar data that are acquired during the Joint Urban 2003 field experiment. The velocity field that was retrieved using single-Doppler data is compared directly with radial velocities that were measured by a second noncollocated lidar. Dual-Doppler retrievals are also perform

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6

Hill, Reginald J., W. Alan Brewer, and Sara C. Tucker. "Platform-Motion Correction of Velocity Measured by Doppler Lidar." Journal of Atmospheric and Oceanic Technology 25, no. 8 (2008): 1369–82. http://dx.doi.org/10.1175/2007jtecha972.1.

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Abstract The NOAA/Earth System Research Laboratory (ESRL) has two coherent Doppler lidar systems that have been deployed on board research vessels to obtain data during several experiments. The instruments measure the wind velocity relative to the motion of the lidar; therefore, correction for the motion of the platform is required. This article gives a thorough analysis of the correction for lidar velocity measurements. The analysis is general enough to be applied to Doppler velocity measurements from all monostatic ship- and aircraftborne lidars and radars, and generalization to bistatic sys

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7

Yang, Shu, Jana Preißler, Matthias Wiegner, et al. "Monitoring Dust Events Using Doppler Lidar and Ceilometer in Iceland." Atmosphere 11, no. 12 (2020): 1294. http://dx.doi.org/10.3390/atmos11121294.

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Ground-based lidars and ceilometers are widely used for dust and volcanic ash observation around the world. This is particularly interesting in Iceland where high-altitude dust events occur frequently during strong wind conditions and volcanic eruptions. To explore the possible application of such technologies in Iceland for monitoring dust events, we used a combination of Doppler wind lidars with depolarization channels, ceilometers, and other instruments, to monitor two dust events that occurred in Iceland during summer 2019. We applied a verified ceilometer data processing procedure with cu

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8

Peña, Alfredo, and Jakob Mann. "Turbulence Measurements with Dual-Doppler Scanning Lidars." Remote Sensing 11, no. 20 (2019): 2444. http://dx.doi.org/10.3390/rs11202444.

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Velocity-component variances can be directly computed from lidar measurements using information of the second-order statistics within the lidar probe volume. Specifically, by using the Doppler radial velocity spectrum, one can estimate the unfiltered radial velocity variance. This information is not always available in current lidar campaigns. The velocity-component variances can also be indirectly computed from the reconstructed velocities but they are biased compared to those computed from, e.g., sonic anemometers. Here we show, for the first time, how to estimate such biases for a multi-lid

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9

Jin, Liqin, Nikolas Angelou, Jakob Mann, and Gunner Chr Larsen. "Improved wind speed estimation and rain quantification with continuous-wave wind lidar." Journal of Physics: Conference Series 2265, no. 2 (2022): 022093. http://dx.doi.org/10.1088/1742-6596/2265/2/022093.

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Abstract The presence of raindrops has an adverse impact on the line-of-sight wind speed measurement of Doppler lidars. Here, we propose a method to improve the accuracy of wind speed estimation through a filtering process on rapidly sampled (3000 Hz) lidar data. For this purpose, we conducted a field study at the Risø campus of the Technical University of Denmark using a ground-based, continuous-wave Doppler lidar. Data was acquired during a three-hour period with rain. We propose that we can differentiate between the rain and aerosol back-scattering signals by assessing the maximum of the no

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10

Okamoto, Hajime, Kaori Sato, Masahiro Fujikawa, et al. "Development of Synergetic-Active Sensor-System for Evaluation of Observations by Earthcare." EPJ Web of Conferences 237 (2020): 07011. http://dx.doi.org/10.1051/epjconf/202023707011.

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We develop the synergetic ground-based active-sensor-system for the evaluation of observations by space-borne lidars. The system consists of second version of multi-field-view multiple-scattering polarization lidar (MFMSPL-2), multiple-field-of-view high spectral resolution polarization lidar, direct-detection Doppler wind lidar, coherent Doppler wind lidar and 94GHz cloud profiling radar. The system can simulate observed signals from sensors onboard the joint Japanese/European mission Earth Clouds, Aerosols and Radiation Explorer (EarthCARE). The observation system can provide unique opportun

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11

Debnath, Mithu, Giacomo Valerio Iungo, W. Alan Brewer, et al. "Assessment of virtual towers performed with scanning wind lidars and Ka-band radars during the XPIA experiment." Atmospheric Measurement Techniques 10, no. 3 (2017): 1215–27. http://dx.doi.org/10.5194/amt-10-1215-2017.

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Abstract. During the eXperimental Planetary boundary layer Instrumentation Assessment (XPIA) campaign, which was carried out at the Boulder Atmospheric Observatory (BAO) in spring 2015, multiple-Doppler scanning strategies were carried out with scanning wind lidars and Ka-band radars. Specifically, step–stare measurements were collected simultaneously with three scanning Doppler lidars, while two scanning Ka-band radars carried out simultaneous range height indicator (RHI) scans. The XPIA experiment provided the unique opportunity to compare directly virtual-tower measurements performed simult

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12

Aoki, Makoto, Hironori Iwai, Katsuhiro Nakagawa, Shoken Ishii, and Kohei Mizutani. "Measurements of Rainfall Velocity and Raindrop Size Distribution Using Coherent Doppler Lidar." Journal of Atmospheric and Oceanic Technology 33, no. 9 (2016): 1949–66. http://dx.doi.org/10.1175/jtech-d-15-0111.1.

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AbstractRainfall velocity, raindrop size distribution (DSD), and vertical wind velocity were simultaneously observed with 2.05- and 1.54-μm coherent Doppler lidars during convective and stratiform rain events. A retrieval method is based on identifying two separate spectra from the convolution of the aerosol and precipitation Doppler lidar spectra. The vertical wind velocity was retrieved from the aerosol spectrum peak and then the terminal rainfall velocity corrected by the vertical air motion from the precipitation spectrum peak was obtained. The DSD was derived from the precipitation spectr

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13

Straume, Anne Grete, Anders Elfving, Denny Wernham, et al. "ESA’s spaceborne lidar mission ADM-Aeolus; project status and preparations for launch." EPJ Web of Conferences 176 (2018): 04007. http://dx.doi.org/10.1051/epjconf/201817604007.

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ESA’s Doppler Wind lidar mission, the Atmospheric Dynamics Mission (ADM-Aeolus, hereafter abbreviated to Aeolus), was chosen as an Earth Explorer Core mission within the Living Planet Programme in 1999. It shall demonstrate the potential of space-based Doppler Wind lidars for operational measurements of wind profiles and their use in Numerical Weather Prediction (NWP) and climate research. Spin-off products are profiles of cloud and aerosol optical properties. Aeolus carries the novel Doppler Wind lidar instrument ALADIN. The mission prime is Airbus Defence & Space UK (ADS-UK), and the ins

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14

Wolz, Kevin, Christopher Holst, Frank Beyrich, Eileen Päschke, and Matthias Mauder. "Comparing triple and single Doppler lidar wind measurements with sonic anemometer data based on a new filter strategy for virtual tower measurements." Geoscientific Instrumentation, Methods and Data Systems 13, no. 2 (2024): 205–23. http://dx.doi.org/10.5194/gi-13-205-2024.

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Abstract. In this study, we compare the wind measurements of a virtual tower triple Doppler lidar setup to those of a sonic anemometer located at a height of 90 m above ground on an instrumented tower and with those of two single Doppler lidars to evaluate the effect of the horizontal homogeneity assumption used for single Doppler lidar applications on the measurement accuracy. The triple lidar setup was operated in a 90 m stare and a step–stare mode at six heights between 90 and 500 m above ground, while the single lidars were operated in a continuous scan velocity–azimuth display (VAD) mode

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15

Wei, Fu, Peña Alfredo, and Mann Jakob. "Turbulence statistics from three different nacelle lidars." Wind Energy Science 7, no. 2 (2022): 831–48. https://doi.org/10.5281/zenodo.6556180.

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Atmospheric turbulence can be characterized by the Reynolds stress tensor, which consists of the second-order moments of the wind field components. Most of the commercial nacelle lidars cannot estimate all components of the Reynolds stress tensor due to their limited number of beams; most can estimate the along-wind velocity variance relatively well. Other components are however also important to understand the behavior of, e.g., the vertical wind profile and meandering of wakes. The SpinnerLidar, a research lidar with multiple beams and a very high sampling frequency, was deployed together wi

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16

Mariani, Zen, Robert Crawford, Barbara Casati, and François Lemay. "A Multi-Year Evaluation of Doppler Lidar Wind-Profile Observations in the Arctic." Remote Sensing 12, no. 2 (2020): 323. http://dx.doi.org/10.3390/rs12020323.

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Doppler light detection and ranging (lidar) wind profilers have proven their capability to measure vertical wind profiles with an accuracy comparable to anemometers and radiosondes. However, most of these comparisons were performed over short time periods or at mid-latitudes. This study presents a multi-year assessment of the accuracy of Doppler lidar wind-profile measurements in the Arctic by comparing them with coincident radiosonde observations, and excellent agreement was observed. The suitability of the Doppler lidar for verification case studies of operational numerical weather predictio

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17

Li, Manyi, Haiyun Xia, Lian Su, Haobin Han, Xiaofei Wang, and Jinlong Yuan. "The Detection of Desert Aerosol Incorporating Coherent Doppler Wind Lidar and Rayleigh–Mie–Raman Lidar." Remote Sensing 15, no. 23 (2023): 5453. http://dx.doi.org/10.3390/rs15235453.

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Characterization of aerosol transportation is important in order to understand regional and global climatic changes. To obtain accurate aerosol profiles and wind profiles, aerosol lidar and Doppler wind lidar are generally combined in atmospheric measurements. In this work, a method for calibration and quantitative aerosol properties using coherent Doppler wind lidar (CDWL) is adopted, and data retrieval is verified by contrasting the process with synchronous Rayleigh–Mie–Raman lidar (RMRL). The comparison was applied to field measurements in the Taklimakan desert, from 16 to 21 February 2023.

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18

Bilbro, James W., C. DiMarzio, D. Fitzjarrald, S. Johnson, and W. Jones. "Airborne Doppler lidar measurements." Applied Optics 25, no. 21 (1986): 3952. http://dx.doi.org/10.1364/ao.25.003952.

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19

Leike, Ines, Jürgen Streicher, Christian Werner, et al. "Virtual Doppler Lidar Instrument." Journal of Atmospheric and Oceanic Technology 18, no. 9 (2001): 1447–56. http://dx.doi.org/10.1175/1520-0426(2001)018<1447:vdli>2.0.co;2.

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20

Gasch, P., A. Wieser, N. Kalthoff, U. Corsmeier, T. Feuerle, and C. Kottmeier. "A New Airborne Doppler Lidar for Boundary Layer Research & LES-Based Simulation." EPJ Web of Conferences 237 (2020): 06001. http://dx.doi.org/10.1051/epjconf/202023706001.

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Airborne Doppler lidar measurements are a valuable tool in meteorological research. A new airborne Doppler lidar system has been developed jointly by the Karlsruhe Institute of Technology (KIT) and the Technical University of Brunswick. The system is designed for use aboard a medium-range turboprop aircraft, thereby targeting meso-scale flow phenomena. In order to optimize system setup and retrieval strategy, as well as evaluate measurement quality under turbulent conditions, a first LES-based airborne Doppler lidar simulator has been developed. The results provide detailed insight into airbor

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21

Hirsikko, A., E. J. O'Connor, M. Komppula, et al. "Observing wind, aerosol particles, cloud and precipitation: Finland's new ground-based remote-sensing network." Atmospheric Measurement Techniques Discussions 6, no. 4 (2013): 7251–313. http://dx.doi.org/10.5194/amtd-6-7251-2013.

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Abstract. The Finnish Meteorological Institute, in collaboration with the University of Helsinki, has established a new ground-based remote-sensing network in Finland. The network consists of five topographically, ecologically and climatically different sites distributed from southern to northern Finland. The main goal of the network is to monitor air pollution and boundary layer properties in near real time, with a Doppler lidar and ceilometer at each site. In addition to these operational tasks, two sites are members of the Aerosols, Clouds, and Trace gases Research InfraStructure Network (A

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22

Branlard, E., A. T. Pedersen, J. Mann, et al. "Retrieving wind statistics from average spectrum of continuous-wave lidar." Atmospheric Measurement Techniques Discussions 6, no. 1 (2013): 1943–77. http://dx.doi.org/10.5194/amtd-6-1943-2013.

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Abstract. The aim of this study is to experimentally demonstrate that the time-average Doppler spectrum of a continuous-wave lidar is proportional to the probability density function of the line-of-sight velocities. This would open the possibility of using cw lidars for a precise determination of the second-order atmospheric turbulence statistics. An atmospheric field campaign and a wind tunnel experiment are carried out to show that the use of an average Doppler spectrum instead of a time series of velocities determined from individual Doppler spectra significantly reduces the differences wit

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23

Branlard, E., A. T. Pedersen, J. Mann, et al. "Retrieving wind statistics from average spectrum of continuous-wave lidar." Atmospheric Measurement Techniques 6, no. 7 (2013): 1673–83. http://dx.doi.org/10.5194/amt-6-1673-2013.

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Abstract. The aim of this study is to experimentally demonstrate that the time-average Doppler spectrum of a continuous-wave (cw) lidar is proportional to the probability density function of the line-of-sight velocities. This would open the possibility of using cw lidars for the determination of the second-order atmospheric turbulence statistics. An atmospheric field campaign and a wind tunnel experiment are carried out to show that the use of an average Doppler spectrum instead of a time series of velocities determined from individual Doppler spectra significantly reduces the differences with

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24

Jin, Liqin, Jakob Mann, and Mikael Sjöholm. "Investigating Suppression of Cloud Return with a Novel Optical Configuration of a Doppler Lidar." Remote Sensing 14, no. 15 (2022): 3576. http://dx.doi.org/10.3390/rs14153576.

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The full-width at half-maximum or probe length of the Lorentzian weighting function of continuous-wave Doppler lidars increases quadratically with the focus distance, which results in a deterioration in the spatial resolution of measurements. What is worse, a Doppler lidar is susceptible to moving objects that are far away from the intended measurement point. Therefore, we suggest a novel configuration to mitigate these problems by deploying two co-planar quarter-wave plates with orthogonal fast axes in the conventional continuous-wave lidar system, without any change to the other optical or e

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25

Fu, Wei, Alfredo Peña, and Jakob Mann. "Turbulence statistics from three different nacelle lidars." Wind Energy Science 7, no. 2 (2022): 831–48. http://dx.doi.org/10.5194/wes-7-831-2022.

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Abstract. Atmospheric turbulence can be characterized by the Reynolds stress tensor, which consists of the second-order moments of the wind field components. Most of the commercial nacelle lidars cannot estimate all components of the Reynolds stress tensor due to their limited number of beams; most can estimate the along-wind velocity variance relatively well. Other components are however also important to understand the behavior of, e.g., the vertical wind profile and meandering of wakes. The SpinnerLidar, a research lidar with multiple beams and a very high sampling frequency, was deployed t

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26

Pentikäinen, Pyry, Ewan James O'Connor, Antti Juhani Manninen, and Pablo Ortiz-Amezcua. "Methodology for deriving the telescope focus function and its uncertainty for a heterodyne pulsed Doppler lidar." Atmospheric Measurement Techniques 13, no. 5 (2020): 2849–63. http://dx.doi.org/10.5194/amt-13-2849-2020.

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Abstract. Doppler lidars provide two measured parameters, radial velocity and signal-to-noise ratio, from which winds and turbulent properties are routinely derived. Attenuated backscatter, which gives quantitative information on aerosols, clouds, and precipitation in the atmosphere, can be used in conjunction with the winds and turbulent properties to create a sophisticated classification of the state of the atmospheric boundary layer. Calculating attenuated backscatter from the signal-to-noise ratio requires accurate knowledge of the telescope focus function, which is usually unavailable. In

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27

Rees, David, and I. Stuart McDermid. "Doppler lidar atmospheric wind sensor: reevaluation of a 355-nm incoherent Doppler lidar." Applied Optics 29, no. 28 (1990): 4133. http://dx.doi.org/10.1364/ao.29.004133.

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28

Dai, Lindong, Jinyuan Xin, Hongchao Zuo, et al. "Multilevel Validation of Doppler Wind Lidar by the 325 m Meteorological Tower in the Planetary Boundary Layer of Beijing." Atmosphere 11, no. 10 (2020): 1051. http://dx.doi.org/10.3390/atmos11101051.

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The high-frequency monitoring of three-dimensional wind fields is crucial in planetary boundary layer meteorology. Doppler wind lidar and meteorological towers are the most important instruments for site observations of three-dimensional wind fields. This study systematically investigated and compared the performances of three wind measurement instruments: A Doppler wind lidar (Windcube 100s), cup anemometer/wind vane and sonic wind anemometer mounted on the 325 m meteorological tower in the polluted urban city of Beijing. The horizontal wind speed measurements of the Doppler wind lidar closel

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29

Hasager, Charlotte, and Mikael Sjöholm. "Editorial for the Special Issue “Remote Sensing of Atmospheric Conditions for Wind Energy Applications”." Remote Sensing 11, no. 7 (2019): 781. http://dx.doi.org/10.3390/rs11070781.

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This Special Issue hosts papers on aspects of remote sensing for atmospheric conditions for wind energy applications. The wind lidar technology is presented from a theoretical view on the coherent focused Doppler lidar principles. Furthermore, wind lidar for applied use for wind turbine control, wind farm wake, and gust characterizations are presented, as well as methods to reduce uncertainty when using lidar in complex terrain. Wind lidar observations are used to validate numerical model results. Wind Doppler lidar mounted on aircraft used for observing winds in hurricane conditions and Doppl

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30

Kelberlau, Felix, and Jakob Mann. "Cross-contamination effect on turbulence spectra from Doppler beam swinging wind lidar." Wind Energy Science 5, no. 2 (2020): 519–41. http://dx.doi.org/10.5194/wes-5-519-2020.

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Abstract. Turbulence velocity spectra are of high importance for the estimation of loads on wind turbines and other built structures, as well as for fitting measured turbulence values to turbulence models. Spectra generated from reconstructed wind vectors of Doppler beam swinging (DBS) wind lidars differ from spectra based on one-point measurements. Profiling wind lidars have several characteristics that cause these deviations, namely cross-contamination between the three velocity components, averaging along the lines of sight and the limited sampling frequency. This study focuses on analyzing

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31

Drechsel, Susanne, Georg J. Mayr, Michel Chong, Martin Weissmann, Andreas Dörnbrack, and Ronald Calhoun. "Three-Dimensional Wind Retrieval: Application of MUSCAT to Dual-Doppler Lidar." Journal of Atmospheric and Oceanic Technology 26, no. 3 (2009): 635–46. http://dx.doi.org/10.1175/2008jtecha1115.1.

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Abstract During the field campaign of the Terrain-induced Rotor Experiment (T-REX) in the spring of 2006, Doppler lidar measurements were taken in the complex terrain of the Californian Owens Valley for six weeks. While fast three-dimensional (3D) wind analysis from measured radial wind components is well established for dual weather radars, only the feasibility was shown for dual-Doppler lidars. A computationally inexpensive, variational analysis method developed for multiple-Doppler radar measurements over complex terrain was applied. The general flow pattern of the 19 derived 3D wind fields

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32

Tucker, Sara C., Christoph J. Senff, Ann M. Weickmann, et al. "Doppler Lidar Estimation of Mixing Height Using Turbulence, Shear, and Aerosol Profiles." Journal of Atmospheric and Oceanic Technology 26, no. 4 (2009): 673–88. http://dx.doi.org/10.1175/2008jtecha1157.1.

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Abstract The concept of boundary layer mixing height for meteorology and air quality applications using lidar data is reviewed, and new algorithms for estimation of mixing heights from various types of lower-tropospheric coherent Doppler lidar measurements are presented. Velocity variance profiles derived from Doppler lidar data demonstrate direct application to mixing height estimation, while other types of lidar profiles demonstrate relationships to the variance profiles and thus may also be used in the mixing height estimate. The algorithms are applied to ship-based, high-resolution Doppler

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Flamant, P. H. "Wind infrared Doppler lidar instrument." Optical Engineering 40, no. 1 (2001): 115. http://dx.doi.org/10.1117/1.1335530.

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34

Post, Madison J., and Richard E. Cupp. "Optimizing a pulsed Doppler lidar." Applied Optics 29, no. 28 (1990): 4145. http://dx.doi.org/10.1364/ao.29.004145.

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Hu, Dongdong, Dongsong Sun, Zhifeng Shu, Mingjia Shangguan, Yuanyuan Gao, and Xiankang Dou. "Mobile incoherent Doppler lidar using fiber-based lidar receivers." Optical Engineering 53, no. 9 (2014): 093106. http://dx.doi.org/10.1117/1.oe.53.9.093106.

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Wang, H., R. J. Barthelmie, P. Doubrawa, and S. C. Pryor. "Errors in radial velocity variance from Doppler wind lidar." Atmospheric Measurement Techniques 9, no. 8 (2016): 4123–39. http://dx.doi.org/10.5194/amt-9-4123-2016.

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Abstract. A high-fidelity lidar turbulence measurement technique relies on accurate estimates of radial velocity variance that are subject to both systematic and random errors determined by the autocorrelation function of radial velocity, the sampling rate, and the sampling duration. Using both statistically simulated and observed data, this paper quantifies the effect of the volumetric averaging in lidar radial velocity measurements on the autocorrelation function and the dependence of the systematic and random errors on the sampling duration. For current-generation scanning lidars and sampli

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37

Jin, Liqin, Jakob Mann, Nikolas Angelou, and Mikael Sjöholm. "Suppression of precipitation bias in wind velocities from continuous-wave Doppler lidars." Atmospheric Measurement Techniques 16, no. 24 (2023): 6007–23. http://dx.doi.org/10.5194/amt-16-6007-2023.

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Abstract. In moderate to heavy precipitation, raindrops may deteriorate the accuracy of Doppler lidar measurements of the line-of-sight wind velocity because their projected velocity in the beam direction differs greatly from that of air. Therefore, we propose a method for effectively suppressing the adverse effects of rain on velocity estimation by sampling the Doppler spectra faster than the time taken for a raindrop to transit through the beam. By using a special averaging procedure, we can suppress the strong rain signal by sampling the spectrum at 3 kHz. A proof-of-concept field measureme

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Baars, Holger, Alexander Geiß, Ulla Wandinger, et al. "First Results from the German Cal/Val Activities for Aeolus." EPJ Web of Conferences 237 (2020): 01008. http://dx.doi.org/10.1051/epjconf/202023701008.

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On 22nd August 2018, the European Space Agency (ESA) launched the first direct detection Doppler wind lidar into space. Operating at 355 nm and acquiring signals with a dual channel receiver, it allows wind observations in clear air and particle-laden regions of the atmosphere. Furthermore, particle optical properties can be obtained using the High Spectral Resolution Technique Lidar (HSRL) technique. Measuring with 87 km horizontal and 0.25-2 km vertical resolution between ground and up to 30 km in the stratosphere, the global coverage of Aeolus observations shall fill gaps in the global obse

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Lolli, S., A. Delaval, C. Loth, A. Garnier та P. H. Flamant. "0.355 μm direct detection wind lidar under testing during a field campaign in consideration of ESA's ADM-Aeolus Mission". Atmospheric Measurement Techniques Discussions 6, № 3 (2013): 4551–75. http://dx.doi.org/10.5194/amtd-6-4551-2013.

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Abstract. The atmospheric wind field information is a key issue to Numerical Weather Prediction (NWP) and climate studies. A space based Wind Doppler lidar mission so-called ADM-Aeolus is currently developed by the European Space Agency for a launch in 2015. Such a Doppler lidar will provide accurate direct measurements of horizontal wind velocity in the depth of atmosphere. The wind data will be evenly distributed at a global scale. The goal is to enhance the present meteorological observation system over sparse wind data regions, and more important to provide direct wind information in the t

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40

Baranov, Nikolay, and Ekaterina Lemishchenko. "Windshear Identification Algorithms by Doppler Pulse Lidar." ITM Web of Conferences 24 (2019): 01011. http://dx.doi.org/10.1051/itmconf/20192401011.

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Doppler pulse lidars are increasingly common as a tool for monitoring hazardous wind phenomena. Possible applications include measurements of wake vortices behind aircraft, detection of vertical and horizontal wind shear, detection of gust fronts, and identification of areas of intense turbulence. This paper reviews several computational procedures used to measure wind shear parameters and determine the gust front position. Algorithms for wind shear calculation are based on the construction of regression dependencies of changes in the wind speed components at a given distance. In accordance wi

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Ritvanen, Jenna, Ewan O'Connor, Dmitri Moisseev, Raisa Lehtinen, Jani Tyynelä, and Ludovic Thobois. "Complementarity of wind measurements from co-located X-band weather radar and Doppler lidar." Atmospheric Measurement Techniques 15, no. 21 (2022): 6507–19. http://dx.doi.org/10.5194/amt-15-6507-2022.

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Abstract. Accurate wind profile measurements are important for applications ranging from aviation to numerical weather prediction. The spatial pattern of winds can be obtained with ground-based remote sensing instruments, such as weather radars and Doppler lidars. As the return signal in weather radars is mostly due to hydrometeors or insects, and in Doppler lidars due to aerosols, the instruments provide wind measurements in different weather conditions. However, the effect of various weather conditions on the measurement capabilities of these instruments has not been previously extensively q

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Reitebuch, Oliver, Christian Lemmerz, Engelbert Nagel, et al. "The Airborne Demonstrator for the Direct-Detection Doppler Wind Lidar ALADIN on ADM-Aeolus. Part I: Instrument Design and Comparison to Satellite Instrument." Journal of Atmospheric and Oceanic Technology 26, no. 12 (2009): 2501–15. http://dx.doi.org/10.1175/2009jtecha1309.1.

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Abstract The global observation of profiles of the atmospheric wind speed is the highest-priority unmet need for global numerical weather prediction. Satellite Doppler lidar is the most promising candidate to meet the requirements on global wind profile observations with high vertical resolution, precision, and accuracy. The European Space Agency (ESA) decided to implement a Doppler wind lidar mission called the Atmospheric Dynamics Mission Aeolus (ADM-Aeolus) to demonstrate the potential of the Doppler lidar technology and the expected impact on numerical weather forecasting. An airborne prot

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Koch, Steven E., Cyrille Flamant, James W. Wilson, Bruce M. Gentry, and Brian D. Jamison. "An Atmospheric Soliton Observed with Doppler Radar, Differential Absorption Lidar, and a Molecular Doppler Lidar." Journal of Atmospheric and Oceanic Technology 25, no. 8 (2008): 1267–87. http://dx.doi.org/10.1175/2007jtecha951.1.

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Abstract Airborne Leandre II differential absorption lidar (DIAL), S-band dual-polarization Doppler radar (S-Pol), and Goddard Lidar Observatory for Winds (GLOW) Doppler lidar data are used, in conjunction with surface mesonet and special sounding data, to derive the structure and dynamics of a bore and associated solitary wave train (soliton) that were generated in southwestern Kansas during the International H20 Project (IHOP_2002). Vertical cross sections of S-Pol reflectivity, S-Pol radial velocity, and DIAL water vapor mixing ratio show a stunning amplitude-ordered train of trapped solita

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Filimonov, P. A., S. E. Ivanov, V. A. Gorodnichev, M. L. Belov, and Yu V. Fedotov. "Investigation of Aerosol Inhomogeneities Parameters in Planetary Boundary Layer in UV-A Spectral Region." Radio Engineering, no. 1 (May 30, 2021): 14–28. http://dx.doi.org/10.36027/rdeng.0121.0000187.

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For today necessity of atmosphere wind remote sensing for wide pool of applications require development of new measurement methods and improvement of already existing.Currently doppler methods for wind speed measuring have largest sensing range. Correlation-based methods are provide lower sensing range for wind speed measurement. However, doppler-based lidar are expensive in opposite to simply designed correlation lidars that additionally allows to measure wind profile along sensing direction.Development of wind correlation lidars required knowledge of atmosphere aerosol inhomogeneities parame

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Reitebuch, Oliver, Christian Lemmerz, Oliver Lux, et al. "Initial Assessment of the Performance of the First Wind Lidar in Space on Aeolus." EPJ Web of Conferences 237 (2020): 01010. http://dx.doi.org/10.1051/epjconf/202023701010.

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Soon after its successful launch in August 2018, the spaceborne wind lidar ALADIN (Atmospheric LAser Doppler INstrument) on-board ESA’s Earth Explorer satellite Aeolus has demonstrated to provide atmospheric wind profiles on a global scale. Being the first ever Doppler Wind Lidar (DWL) instrument in space, ALADIN contributes to the improvement in numerical weather prediction (NWP) by measuring one component of the horizontal wind vector. The performance of the ALADIN instrument was assessed by a team from ESA, DLR, industry, and NWP centers during the first months of operation. The current kno

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Uluocak, Sinem, Frauke Theuer, Lars Neuhaus, Manuel Alejandro Zúňiga Inestroza, Paul Hulsman, and Martin Kühn. "The lidar probe volume averaging effect: A wind tunnel investigation in streamwise turbulence with continuous-wave lidar." Journal of Physics: Conference Series 2767, no. 4 (2024): 042027. http://dx.doi.org/10.1088/1742-6596/2767/4/042027.

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Abstract The main limitation of lidars to capture the turbulence is the filtering of small-scale fluctuations within the probe volume, which is far less significant with conventional anemometers. In this study, the probe volume averaging effect on the streamwise turbulence statistics is investigated in the wind tunnel. Different turbulent flows, which exhibit distinct turbulence intensities and integral length scales are generated and subsequently captured using a short-range continuous-wave WindScanner with different probe volumes. Hot wire measurements are performed as a reference. The resul

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Iungo, G. V., and F. Porté-Agel. "Measurement procedures for characterization of wind turbine wakes with scanning Doppler wind LiDARs." Advances in Science and Research 10, no. 1 (2013): 71–75. http://dx.doi.org/10.5194/asr-10-71-2013.

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Abstract. The wake flow produced from an Enercon E-70 wind turbine is investigated through three scanning Doppler wind LiDARs. One LiDAR is deployed upwind to characterize the incoming wind, while the other two LiDARs are located downstream to carry out wake measurements. The main challenge in performing measurements of wind turbine wakes is represented by the varying wind conditions, and by the consequent adjustments of the turbine yaw angle needed to maximize power production. Consequently, taking into account possible variations of the relative position between the LiDAR measurement volume

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Taheri Andani, Masood, Andrew Peterson, Josh Munoz, and Mehdi Ahmadian. "Railway track irregularity and curvature estimation using doppler LIDAR fiber optics." Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 232, no. 1 (2016): 63–72. http://dx.doi.org/10.1177/0954409716660738.

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The application of Doppler-based LIght Detection and Ranging (LIDAR) technology for determining track curvature and lateral irregularities, including alignment and gage variation, are investigated. The proposed method uses track measurements by two low-elevation, slightly tilted LIDAR sensors nominally pointed at the rail gage face on each track. The Doppler LIDAR lenses are installed with a slight forward angle to measure track speed in both longitudinal and lateral directions. The lateral speed measurements are processed for assessing the track gage and alignment variations, using a method t

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Arend, Mark, Dave A. Ligon, Deryck James, et al. "Observations and Models of Turbulence During Heat Events in Complex Urban Coastal Regions Using Multiple Doppler Wind Lidars." EPJ Web of Conferences 237 (2020): 06010. http://dx.doi.org/10.1051/epjconf/202023706010.

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Multiple Doppler Lidars have been co-operated in the NYC region during the summer of 2018 to provide detailed observations of the turbulent atmosphere especially during heat wave events. The co-operating Doppler Lidar observations allow for mean flows to be distinguished from complex flows so that a better understanding of the transport of air masses can be provided to investigate the fidelity of high resolution numerical weather prediction models that are being developed to interpret and model turbulence during such events.

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Frehlich, Rod, Yannick Meillier, and Michael L. Jensen. "Measurements of Boundary Layer Profiles with In Situ Sensors and Doppler Lidar." Journal of Atmospheric and Oceanic Technology 25, no. 8 (2008): 1328–40. http://dx.doi.org/10.1175/2007jtecha963.1.

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Abstract A new in situ measurement system and lidar processing algorithms were developed for improved measurements of boundary layer profiles. The first comparisons of simultaneous Doppler lidar–derived profiles of the key turbulence statistics of the two orthogonal horizontal velocity components (longitudinal and transverse) are presented. The instrument requirements for accurate observations of stably stratified turbulence were determined. A region of stably stratified low turbulence with constant gradients of temperature and velocity was observed above the nocturnal boundary layer using hig

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