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Performance Modeling of a Diode-Laser-Based Direct-Detection Doppler Lidar for Vertical Wind Profiling
by
Cruikshank, Owen
, Colberg, Luke
, Repasky, Kevin S.
in
Absorption
/ Aerosols
/ Architecture
/ Atmosphere
/ Atmospheric models
/ Atmospheric sciences
/ Backscatter
/ Backscattering
/ Detection
/ Differential absorption lidar
/ Diodes
/ Doppler effect
/ Doppler lidar
/ Doppler sonar
/ Feasibility studies
/ Humidity
/ Instrumentation
/ Instruments
/ Laser applications
/ Lasers
/ Lidar
/ Lower atmosphere
/ Lower troposphere
/ Mathematical models
/ Modelling
/ Monitoring
/ Profiling
/ Relative humidity
/ Severe weather
/ Temperature
/ Thunderstorms
/ Transmitters
/ Troposphere
/ Velocity
/ Vertical velocities
/ Vertical wind velocities
/ Water vapor
/ Water vapour
/ Weather effects
/ Weather forecasting
/ Wind
/ Wind measurement
/ Wind profiles
/ Wind speed
/ Wind velocities
/ Winds
2022
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Performance Modeling of a Diode-Laser-Based Direct-Detection Doppler Lidar for Vertical Wind Profiling
by
Cruikshank, Owen
, Colberg, Luke
, Repasky, Kevin S.
in
Absorption
/ Aerosols
/ Architecture
/ Atmosphere
/ Atmospheric models
/ Atmospheric sciences
/ Backscatter
/ Backscattering
/ Detection
/ Differential absorption lidar
/ Diodes
/ Doppler effect
/ Doppler lidar
/ Doppler sonar
/ Feasibility studies
/ Humidity
/ Instrumentation
/ Instruments
/ Laser applications
/ Lasers
/ Lidar
/ Lower atmosphere
/ Lower troposphere
/ Mathematical models
/ Modelling
/ Monitoring
/ Profiling
/ Relative humidity
/ Severe weather
/ Temperature
/ Thunderstorms
/ Transmitters
/ Troposphere
/ Velocity
/ Vertical velocities
/ Vertical wind velocities
/ Water vapor
/ Water vapour
/ Weather effects
/ Weather forecasting
/ Wind
/ Wind measurement
/ Wind profiles
/ Wind speed
/ Wind velocities
/ Winds
2022
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Do you wish to request the book?
Performance Modeling of a Diode-Laser-Based Direct-Detection Doppler Lidar for Vertical Wind Profiling
by
Cruikshank, Owen
, Colberg, Luke
, Repasky, Kevin S.
in
Absorption
/ Aerosols
/ Architecture
/ Atmosphere
/ Atmospheric models
/ Atmospheric sciences
/ Backscatter
/ Backscattering
/ Detection
/ Differential absorption lidar
/ Diodes
/ Doppler effect
/ Doppler lidar
/ Doppler sonar
/ Feasibility studies
/ Humidity
/ Instrumentation
/ Instruments
/ Laser applications
/ Lasers
/ Lidar
/ Lower atmosphere
/ Lower troposphere
/ Mathematical models
/ Modelling
/ Monitoring
/ Profiling
/ Relative humidity
/ Severe weather
/ Temperature
/ Thunderstorms
/ Transmitters
/ Troposphere
/ Velocity
/ Vertical velocities
/ Vertical wind velocities
/ Water vapor
/ Water vapour
/ Weather effects
/ Weather forecasting
/ Wind
/ Wind measurement
/ Wind profiles
/ Wind speed
/ Wind velocities
/ Winds
2022
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Performance Modeling of a Diode-Laser-Based Direct-Detection Doppler Lidar for Vertical Wind Profiling
Journal Article
Performance Modeling of a Diode-Laser-Based Direct-Detection Doppler Lidar for Vertical Wind Profiling
2022
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Overview
Micropulse differential absorption lidars (MPD) for water vapor, temperature, and aerosol profiling have been developed, demonstrated, and are addressing the needs of the atmospheric science community for low-cost ground-based networkable instruments capable of long-term monitoring of the lower troposphere. The MPD instruments use a diode-laser-based (DLB) architecture that can easily be adapted for a wide range of applications. In this study, a DLB direct-detection Doppler lidar based on the current MPD architecture is modeled to better understand the efficacy of the instrument for vertical wind velocity measurements, with the long-term goal of incorporating these measurements into the current network of MPD instruments. The direct-detection Doppler lidar is based on a double-edge receiver that utilizes two Fabry–Pérot interferometers and a vertical velocity retrieval that requires the ancillary measurement of the backscatter ratio, which is the ratio of the total backscatter coefficient to the molecular backscatter coefficient. The modeling in this paper accounts for the major sources of error. It indicates that the vertical velocity can be retrieved with an error of less than 0.56 m s
−1
below 4 km with a 150-m range resolution and an averaging time of 5 min.
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