Radiometric calibration of an airborne CO_2 pulsed Doppler lidar with a natural Earth surface

2002 ◽  
Vol 41 (18) ◽  
pp. 3530 ◽  
Author(s):  
Dean R. Cutten ◽  
Jeffry Rothermel ◽  
Maurice A. Jarzembski ◽  
R. Michael Hardesty ◽  
James N. Howell ◽  
...  
Keyword(s):  
Earth Surface ◽  
Doppler Lidar ◽  
Radiometric Calibration ◽  
Pulsed Doppler

Evolution of the Monterey Bay Sea-Breeze Layer As Observed by Pulsed Doppler Lidar

1993 ◽  
Vol 50 (24) ◽  
pp. 3959-3982 ◽  
Author(s):  
Robert M. Banta ◽  
Lisa D. Olivier ◽  
David H. Levinson
Keyword(s):  
Sea Breeze ◽  
Monterey Bay ◽  
Doppler Lidar ◽  
Pulsed Doppler

scholarly journals Identification of Aircraft Wake Vortex Based on SVM

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Weijun Pan ◽  
Zhengyuan Wu ◽  
Xiaolei Zhang
Keyword(s):  
Environmental Parameters ◽  
Classification Model ◽  
Support Vector ◽  
Wake Vortex ◽  
Doppler Lidar ◽  
Pulsed Doppler ◽  
Wind Fields ◽  
Wake Turbulence ◽  
Aircraft Wake ◽  
Separation Standards

The aircraft wake vortex has important influence on the operation of the airspace utilization ratio. Particularly, the identification of aircraft wake vortex using the pulsed Doppler lidar characteristics provides a new knowledge of wake turbulence separation standards. This paper develops an efficient pattern recognition-based method for identifying the aircraft wake vortex measured with the pulsed Doppler lidar. The proposed method is outlined in two stages. (i) First, a classification model based on support vector machine (SVM) is introduced to extract the radial velocity features in the wind fields by combining the environmental parameters. (ii) Then, grid search and cross-validation based on soft margin SVM with kernel tricks are employed to identify the aircraft wake vortex, using the test dataset. The dataset includes wake vortices of various aircrafts collected at the Chengdu Shuangliu International Airport from Aug 16, 2018, to Oct 10, 2018. The experimental results on dataset show that the proposed method can identify the aircraft wake vortex with only a small loss, which ensures the satisfactory robustness in detection performance.

Amplified reference pulse storage for low-coherence pulsed Doppler lidar

2006 ◽  
Vol 45 (32) ◽  
pp. 8346 ◽  
Author(s):  
Jyi-Lai Shen ◽  
Rainer Künnemeyer
Keyword(s):  
Doppler Lidar ◽  
Pulsed Doppler ◽  
Reference Pulse ◽  
Low Coherence

Application of pulsed Doppler lidar in the airport terminal area

2005 ◽  
Author(s):  
Stephen M. Hannon ◽  
Keith S. Barr ◽  
Donald K. Jacob ◽  
Mark W. Phillips
Keyword(s):  
Doppler Lidar ◽  
Pulsed Doppler ◽  
Airport Terminal ◽  
Terminal Area

Observations of the Boundary Layer near Tornadoes and in Supercells Using a Mobile, Collocated, Pulsed Doppler Lidar and Radar

2014 ◽  
Vol 31 (2) ◽  
pp. 302-325 ◽  
Author(s):  
Howard B. Bluestein ◽  
Jana B. Houser ◽  
Michael M. French ◽  
Jeffrey C. Snyder ◽  
George D. Emmitt ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Spatial Resolution ◽  
Phased Array ◽  
High Spatial Resolution ◽  
Vertical Shear ◽  
Doppler Velocity ◽  
Doppler Lidar ◽  
Pulsed Doppler ◽  
Ground Clutter ◽  
X Band

Abstract During the Second Verification of the Origins of Rotation in Tornadoes Experiment (VORTEX2), in the spring of 2010, a mobile and pulsed Doppler lidar system [the Truck-Mounted Wind Observing Lidar Facility (TWOLF)] mounted on a truck along with a mobile, phased-array, X-band Doppler radar system [Mobile Weather Radar–2005 X-band, phased array (MWR-05XP)] was used to complement Doppler velocity coverage in clear air near the radar–lidar facility and to provide high-spatial-resolution vertical cross sections of the Doppler wind field in the clear-air boundary layer near and in supercells. It is thought that the magnitude and direction of vertical shear and possibly the orientation and spacing of rolls in the boundary layer have significant effects on both supercell and tornado behavior; MWR-05XP and TWOLF can provide data that can be used to measure vertical shear and detect rolls. However, there are very few detailed, time-dependent and spatially varying observations throughout the depth of the boundary layer of supercells and tornadoes. This paper discusses lidar and radar data collected in or near six supercells. Features seen by the lidar included gust fronts, horizontal convective rolls, and small-scale vortices. The lidar proved useful at detecting high-spatial-resolution, clear-air returns at close range, where the radar was incapable of doing so, thus providing a more complete picture of the boundary layer environment ahead of supercells. The lidar was especially useful in areas where there was ground-clutter contamination. When there was precipitation and probably insects, and beyond the range of the lidar, where there was no ground-clutter contamination, the radar was the more useful instrument. Suggestions are made for improving the system and its use in studying the tornado boundary layer.

scholarly journals Aviation Applications of the Pulsed Doppler LIDAR – Experience in Hong Kong

2009 ◽  
Vol 3 (1) ◽  
pp. 138-146 ◽  
Author(s):  
P.W. Chan
Keyword(s):  
Hong Kong ◽  
Power Distribution ◽  
Lidar Data ◽  
Doppler Lidar ◽  
Pulsed Doppler ◽  
Mixing Height ◽  
Wind Retrieval ◽  
Glide Path ◽  
Crucial Information ◽  
Hong Kong International Airport

The Hong Kong Observatory (HKO) introduced a Doppler LIDAR to the Hong Kong International Airport (HKIA) in 2002, the first LIDAR for aviation alerting services in the world. Since then, HKO has developed a number of weather products based on the LIDAR’s velocity and backscatter power data. LIDAR is found to provide crucial information in a wide variety of aviation applications. This paper gives a review of the experience in Hong Kong in the development of aviation-related weather products using the LIDAR data. Applications include: automatic windshear alerting from the HKO-developed glide-path scans, detection of low-level turbulence, 2D wind retrieval for intense convective events from LIDAR-radar dual Doppler analysis, 3D wind retrieval from a single LIDAR for terrain-disrupted airflow, visibility map based on backscatter power distribution in conical scans, and mixing-height monitoring in vertical scans.

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