Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Wind and backscatter measurements with the NOAA injection-lock infrared Doppler lidar

Open Access Open Access

Abstract

The NOAA Doppler lidar has been recently upgraded with a 2-J/pulse injection-lock laser that provides a 13-dB increase in energy over the previous hybrid design. Frequency stability of the new laser is demonstrated by the consistencies in sequentially recorded wind profiles to better than 0.1 m/s when scans are made within 1 min of each other. Comparison with tower anemometers also agrees well to within 0.2 m/s. Backscatter profiles at 10.6 μm show occasional, very clean layers in the upper troposphere where the scattering coefficient, beta, is <1.0E-11 l/(m sr). These layers have been confirmed using a ruby lidar, where scattering ratios of 1.1 compared to Rayleigh are measured. The sparse population of large aerosols in these clean layers does not compare well with much higher turbidity measured in 1981, 1982, and 1983 with the hybrid lidar. We conclude that there is great variability from one year to the next in large aerosol population in the upper troposphere. Possibly the El Nino climate anomaly in 1982 and 1983 caused a more dusty atmosphere than normal.

© 1986 Optical Society of America

PDF Article
More Like This
Wind Measurement Accuracy of the NOAA Pulsed, Infrared, Doppler Lidar

F. F. Hall, R. M. Huffaker, R. M. Hardesty, M. E. Jackson, T. R. Lawrence, M. J. Post, R. A. Richter, and B. F. Weber
WA5 Coherent Laser Radar (CLR) 1983

NOAA Doppler Lidar Performance Evaluation and Measurement Applications

T. Rhidian Lawrence
FA3 Optical Remote Sensing (HISE) 1985

Boundary Layer Wind and Water Vapor Measurements using the NOAA mini-MOPA Doppler lidar

W. Alan Brewer, Volker Wulfmeyer, R. Michael Hardesty, and Barry J. Rye
RTuC1 Optical Remote Sensing (HISE) 1999

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.