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57 results for “wind lidar”
Supplementary Files: Lower Order Description and Reconstruction of Sparse Scanning Lidar Measurements of Wind Turbine Inflow using Proper Orthogonal Decomposition
<p>Gappy POD reconstruction of the line-of-sight velocities from a nacelle-mounted scanning SpinnerLidar with 30% missing data for two LES cases.</p>
Doppler lidar wind profiles from Rzecin during POLIMOS 2018
<p>This is data set includes Doppler wind lidar quantities which were calculated from measurements performed between May and September 2018 at <em>PolWET </em>site in Rzecin, Poland (52.75°N, 16.30°E, 59 m a.s.l.) of the Poznan University of Life Sciences</p> <p>The system is a Doppler lidar Stream Line (Halo Photonics), which is part of ACTRIS-Cloudnet (Illingworth et al., 2007). The system laser emits at 1.5 μm and the detector is heterodyne using fiber-optic technology. The measurements for this data set consisted of conical scans (VAD) with constant elevation of 70° and 12 equidistant azimuth points performed every 30 min. A more detailed description of the instrument can be found in (Ortiz-Amezcua et al., 2022)</p>
Plots for the publication "Lidar-assisted model predictive control of wind turbine fatigue via online rainflow-counting considering stress history"
<p>These are the raw plot files from the publication "Lidar-assisted model predictive control of wind turbine fatigue via online rainflow-counting considering stress history".</p> <p>The files have been created with MATLAB 2019, and labeled according to their corresponding figure number(s) in the publication.</p>
Cross-contamination effect on turbulence spectra from Doppler beam swinging wind lidar (data and code)
<p>The archive contains supplemental material for the article "Cross-contamination effect on turbulence spectra from Doppler beam swinging wind lidar" by Kelberlau and Mann:</p> <p>- Windcube RAW and 10-min averaged data</p> <p>- Ultrasonic anemometer data from the meteorological mast in Høvsøre</p> <p>- Monin-Obukhov length data</p> <p>- windsimu input files, a windsimu executable for unix systems to create turbulence boxes and a windsimu manual</p> <p>- Matlab scripts for data processing and visualization</p>
The diurnal cycle of the horizontal wind field over complex terrain detected with coplanar Doppler lidar scans
<p>This data set contains a 24-h movie (21:00 UTC 23 July to 21:00 UTC 24 July) of the horizontal wind field in a horizontal plane of about 5 km x 5 km in size about 62 m above the city of Stuttgart in south-western Germany. The horizontal wind fields are retrieved from coplanar horizontal scans from three Doppler lidars positioned on opposing slopes and are available with 1-min temporal resolution and 100 m horizontal resolution. The data shows the diurnal cycle of the horizontal wind. During nighttime, downvalley wind establishes in the Neckar Valley and during daytime convective cells moving downstream are visible.<br> The measurements were conducted within the the framework of the Urban Climate under Change [UC]^2 program.</p>
Wind Profile Data: LIDAR - NOAA (FIFE)
The aim of this wind profile study was to derive wind profiles and momentum fluxes from the National Oceanic and Atmospheric Administration (NOAA)/Wave Propagation Laboratory (WPL) Doppler LIDAR, and compare LIDAR and airborne measurements of mean wind, turbulent structure, momentum flux, and heat flux. Another objective was to compare profiles of mean wind and temperature obtained from aircraft, balloon sondes, and wind LIDAR. These data were collected at one location near the center of the FIFE study area but in the northwest quadrant. Data were acquired for a two week period during June and July 1987. Pulsed Doppler LIDAR measures the radial (along-beam) velocity as a function of range using light-scattering particles in the air as tracers. When the LIDAR beam is directed straight upward and the backscattered return as a function of height is recorded, vertical aerosol profiles may be determined. Various pointing and scanning schemes permit measurement of a variety of mean and turbulent quantities based on assumptions about the flow. The remote-sensing character of LIDAR offers the ability to measure flow parameters simultaneously at all the heights in a profile. The winds were obtained with the VAD (Velocity Azimuth Display) technique. The LIDAR only operates above 500 m, therefore the wind profile begins above the ground surface. Data in the planetary boundary layer are usually continuous, but gaps appear occasionally in profiles extending to several kilometers. Profiles were unsmoothed, and the LIDAR's short pulse made adjacent data points almost independent.
GRIP DOPPLER AEROSOL WIND LIDAR (DAWN) V1
The GRIP Doppler Aerosol WiNd Lidar (DAWN) Dataset was collected by the Doppler Aerosol WiNd (DAWN), a pulsed lidar, which operated aboard a NASA DC-8 aircraft during the Genesis and Rapid Intensification Processes (GRIP) field campaign. he major goal was to better understand how tropical storms form and develop into major hurricanes. NASA used the DC-8 aircraft, the WB-57 aircraft and the Global Hawk Unmanned Airborne System (UAS), configured with a suite of in situ and remote sensing instruments that were used to observe and characterize the lifecycle of hurricanes. This campaign also capitalized on a number of ground networks and space-based assets, in addition to the instruments deployed on aircraft from Ft. Lauderdale, Florida ( DC-8), Houston, Texas (WB-57), and NASA Dryden Flight Research Center, California (Global Hawk). Data values include Line-of-Sight (LOS) Winds, calculated vertical profiles of horizontal wind velocity, frequency-domain signal energy and time versus latitude and longitude. Instrument details can be found in the dataset documentation. Data was gathered during August 24, 2010 thru September 22, 2010 over the Atlantic Ocean.
Data from Doppler-Wind Lidar (DWL) measurements at Paris – Arboretum (PAARBO) from 2023-07-27 to 2023-09-13 [RAW]
<p>Original data files from DWL measurements at the arboretum de Vallée-aux-Loups (Département 92) in the built-up area in the SW of Greater Paris.</p>
Data from Doppler-Wind Lidar (DWL) measurements at Paris – Chemin Vert Bobigny (PACHEM) from 2023-08-03 to 2024-03-04 [RAW]
<p>Original data files from doppler wind lidar (DWL) measurements at Paris–Chemin Vert Bobigny in the NE of built-up Greater Paris.</p>
Data from Doppler-Wind Lidar (DWL) measurements at Paris – SIRTA Atmospheric Observatory (PASIRT) from 2022-11-10 to 2024-02-02 [RAW]
<p>Original data files from DWL measurements at Paris–SIRTA Atmospheric Observatory in Palaiseau. Due to technical problems with the instrument, this dataset is likely flawed / problematic. Therefore access is restricted. </p>
Data from Doppler-Wind Lidar (DWL) measurements at Paris – LISA Université Paris Diderot (PALUPD) from 2023-06-13 to 2024-02-07 [RAW]
<p>Original data files from DWL measurements at the LISA (Laboratoire Interuniversitaire des Systèmes Atmosphériques) observatory site in the city centre of Paris (Université Paris Cité).</p>
Data from Doppler-Wind Lidar (DWL) measurements at Paris – Arboretum (PAARBO) from 2023-09-13 to 2024-03-05 [RAW]
<p>Original data files from DWL measurements at the arboretum de Vallée-aux-Loups (Département 92) in the built-up area in the SW of Greater Paris.</p>
Turbulence and winds based on Doppler lidar collected at Xiaomai Island, Qingdao, Shandong, China, from October 2021 to April 2023.
<p>This dataset presents gust and turbulence parameters collected with Doppler lidar. The data were collected from October 2021 to April 2023 at Xiaomai Island, Qingdao, Shandong, China. The parameters include 10-minute average wind speed, peak gust, gust factor, gust amplitude, turbulence intensity, turbulent kinetic energy, friction velocity, drag coefficient, roughness length and energy flux.</p>
Data from Doppler-Wind Lidar (DWL) measurements at Paris – LISA Université Paris Diderot (PALUPD) from 2022-11-29 to 2023-06-13 [RAW]
<p>Original data files from DWL measurements at the LISA (Laboratoire Interuniversitaire des Systèmes Atmosphériques) observatory site in the city centre of Paris (Université Paris Cité).</p>
Data from Doppler-Wind Lidar (DWL) measurements at Berlin – Wilmersdorf (BEWILM) from 2021-09-08 to 2022-10-01 [RAW]
<p>Original data files from DWL measurements. Original data files from scanning DWL measurements on a roof in Berlin–Wilmersdorf located in the SW of the urban area of Berlin, Germany</p>
Data from Doppler-Wind Lidar (DWL) measurements at Berlin – Schöneberg (BESCHO) from 2022-06-28 to 2022-10-05 [RAW]
<p>Original data files from scanning DWL measurements on a roof in Berlin–Schöneberg located in the city centre of Berlin, Germany</p>
CPEX-AW DAWN Doppler Aerosol WiNd Lidar
CPEXAW-DAWN_DC8_1 are the Doppler Aerosol WiNd lidar (DAWN) image and NetCDF data files collected during the Convective Processes Experiment - Aerosols & Winds (CPEX-AW) onboard the DC-8 aircraft. Data collection for this product is complete.The Convective Processes Experiment – Aerosols & Winds (CPEX-AW) campaign was a joint effort between the US National Aeronautics and Space Administration (NASA) and the European Space Agency (ESA) with the primary goal of conducting a post-launch calibration and validation activities of the Atmospheric Dynamics Mission-Aeolus (ADM-AEOLUS) Earth observation wind Lidar satellite in St. Croix. CPEX-AW is a follow-on to the Convective Processes Experiment (CPEX) field campaign which took place in the summer of 2017. In addition to joint calibration/validation of ADM-AEOLUS, CPEX-AW studied the dynamics related to the Saharan Air Layer, African Easterly Waves and Jets, Tropical Easterly Jet, and deep convection in the InterTropical Convergence Zone (ITCZ). CPEX-AW science goals include:• Better understanding interactions of convective cloud systems and tropospheric winds as part of the joint NASA-ESA Aeolus Cal/Val effort over the tropical Atlantic;• Observing the vertical structure and variability of the marine boundary layer in relation to initiation and lifecycle of the convective cloud systems, convective processes (e.g., cold pools), and environmental conditions within and across the ITCZ;• Investigating how the African easterly waves and dry air and dust associated with Sahara Air Layer control the convectively suppressed and active periods of the ITCZ;• Investigating interactions of wind, aerosol, clouds, and precipitation and effects on long range dust transport and air quality over the western Atlantic.In order to successfully achieve the objectives of the campaign, NASA deployed its DC-8 aircraft equipped with an Airborne Third Generation Precipitation Radar (APR-3), Doppler Aerosol WiNd Lidar (DAWN), High Altitude Lidar Observatory (HALO), High Altitude Monolithic Microwave Integrated Circuit (MMIC) Sounding Radiometer (HAMSR), and dropsondes. This campaign aims to provide useful material to atmospheric scientists, meteorologists, lidar experts, air quality experts, professors, and students. The Atmospheric Science Data Center (ASDC) archives the dropsonde, HALO, and DAWN data products for CPEX-AW. For additional datasets please visit the Global Hydrometeorology Resource Center (GHRC).
Combined HSRL and Optical Autocovarience Wind Lidar (HOAWL) Demonstration Project
<p> Demonstrate 2&beta; + 2&alpha; + 2&delta; High Spectral Resolution Lidar (HSRL) and Doppler wind lidar measurements simultaneously at 355nm and 532nm using a single multiwavelength interferometric receiver.<br /> &nbsp;Demonstrate system components:<br /> High efficiency multi-wavelength optical autocovariance interferometer and integrated 2&beta; + 2&alpha; + 2&delta; receiver<br /> HOAWL calibration and retrieval algorithms<br /> Validated radiometric and integrated HOAWL receiver performance models<br /> <br /> &nbsp;</p>
Data from Doppler-Wind Lidar (DWL) measurements at Berlin – Rothenburgstrasse (BEROTH) from 2022-10-06 to 2022-10-24 [RAW]
<p>Original data files from DWL measurements.</p>
Data from Doppler-Wind Lidar (DWL) measurements at Berlin – Rothenburgstrasse (BEROTH) from 2022-10-05 to 2022-10-24 [RAW]
<p>Original data files from DWL measurements.</p>
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