Application of Doppler wind lidar observations to hurricane analysis and prediction

2017 ◽  
Author(s):  
Robert M. Atlas ◽  
George D. Emmitt ◽  
Lisa Bucci ◽  
Kelly Ryan ◽  
Jun A. Zhang
Keyword(s):  
Wind Lidar ◽  
Lidar Observations ◽  
Doppler Wind Lidar

scholarly journals Airborne Doppler Wind Lidar Observations of the Tropical Cyclone Boundary Layer

2018 ◽  
Vol 10 (6) ◽  
pp. 825 ◽  
Author(s):  
Jun Zhang ◽  
Robert Atlas ◽  
G. Emmitt ◽  
Lisa Bucci ◽  
Kelly Ryan
Keyword(s):  
Boundary Layer ◽  
Tropical Cyclone ◽  
Wind Lidar ◽  
Tropical Cyclone Boundary Layer ◽  
Lidar Observations ◽  
Doppler Wind Lidar

scholarly journals Properties of coherent structures over Paris: a study based on an automated classification method for Doppler lidar observations

2021 ◽  
Author(s):  
Ioannis Cheliotis ◽  
Elsa Dieudonné ◽  
Hervé Delbarre ◽  
Anton Sokolov ◽  
Egor Dmitriev ◽  
...  
Keyword(s):  
Coherent Structures ◽  
Training Dataset ◽  
Process Time ◽  
Automated Classification ◽  
Large Fluctuations ◽  
Wind Lidar ◽  
Lidar Observations ◽  
Doppler Wind Lidar

AbstractThe studies related to the coherent structures in the atmosphere, using Doppler wind lidar observations, so far relied on the manual detection and classification of the structures in the lidar images, making this process time-consuming. We developed an automated classification based on texture analysis parameters and the quadratic discriminant analysis algorithm for the detection of medium-to-large fluctuations and coherent structures recorded by single Doppler wind lidar quasi-horizontal scans. The algorithm classified a training dataset of 150 cases into four types of patterns, namely streaks (narrow stripes), rolls (wide stripes), thermals (enclosed areas) and “others” (impossible to classify), with 91% accuracy. Subsequently, we applied the trained algorithm to a dataset of 4577 lidar scans recorded in Paris, atop a 75 m tower for a 2-month period (September-October 2014). The current study assesses the quality of the classification by examining the physical properties of the classified cases. The results show a realistic classification of the data: with rolls and thermals cases mostly classified concurrently with a well-developed atmospheric boundary layer and the streaks cases associated with nocturnal low-level jets (nllj) events. Furthermore, rolls and streaks cases were mostly observed under moderate or high wind conditions. The detailed analysis of a four-day period reveals the transition between the types. The analysis of the space spectra in the direction transverse to the mean wind, during these four days, revealed streaks spacing of 200 to 400 m, and rolls sizes, as observed in the lower level of the mixed layer, of approximately 1 km.

scholarly journals Triple Doppler wind lidar observations during the mountain terrain atmospheric modeling and observations field campaign

2016 ◽  
Vol 10 (2) ◽  
pp. 026015 ◽  
Author(s):  
Yansen Wang ◽  
Christopher M. Hocut ◽  
Sebastian W. Hoch ◽  
Edward Creegan ◽  
Harindra J. S. Fernando ◽  
...  
Keyword(s):  
Atmospheric Modeling ◽  
Field Campaign ◽  
Mountain Terrain ◽  
Wind Lidar ◽  
Lidar Observations ◽  
Doppler Wind Lidar

Eye-safe, single-frequency pulsed all-fiber laser for Doppler wind lidar

2011 ◽  
Vol 9 (9) ◽  
pp. 090604-90607 ◽  
Author(s):  
刘源 Yuan Liu ◽  
刘继桥 Jiqiao Liu ◽  
陈卫标 Weibiao Chen
Keyword(s):  
Fiber Laser ◽  
Single Frequency ◽  
Wind Lidar ◽  
Doppler Wind Lidar

scholarly journals Dust Transport Across the Atlantic Studied by Airborne Doppler Wind Lidar During the Saltrace Experiment in 2013

2016 ◽  
Vol 119 ◽  
pp. 18008
Author(s):  
Fernando Chouza ◽  
Oliver Reitebuch ◽  
Stephan Rahm ◽  
Bernadett Weinzierl
Keyword(s):  
Dust Transport ◽  
Wind Lidar ◽  
Doppler Wind Lidar
Sign in / Sign up

Export Citation Format

Share Document