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MODEL SRL 300 Raman Lidar
2D-Disdrometer
Dante controller
MODEL SRL 300 Raman Lidar
2D-Disdrometer
Dante controller
MODEL SRL 300
Raman Lidar
MODEL SRL 300 Raman Lidar
The SRL300 Raman Lidar is carefully designed to study particles and aerosol. Optical and physical properties of a particle can be measured and classified. The typical application is in meteorology, measuring cloud height and distribution.

Lidar is the optical equivalent of radar (LIDAR is an acronym of Light Detection And Ranging) an active remote sensing technique.
SRL-300 LIDAR is based on the particles of elastic and inelastic (Raman) backscatter. A pulsed laser beam is emitted into the atmosphere. The light is scattered by particles or molecular in the atmosphere. Some of the light reaches the receiving telescope where it is amplified and digitized.
Interactions with nitrogen, water vapor (Raman scattering) and atmospheric gases, aerosol (Mie/
Rayleigh scattering) can provide a wealth of information about the atmosphere.

SRL-300 LIDAR offers a well-established method of determining the vertical profile of the aerosol extinction coefficient independently from the aerosol backscatter coefficient. SRL-300 LIDAR is suitable for multiple atmospheric monitoring applications, including advanced cloud analysis. We provide complete lidar solutions, including all hardware and software necessary to operate the system and analyses the data.
Parameter
ㆍCloud layer, Dust layer
ㆍPBL (Planetary boundary layer)
ㆍBackscatter and extinction coefficient
ㆍAerosol optical depth (AOD)
ㆍAerosol type determination (dust, cloud, aerosol….)
ㆍAerosol microphysical properties (volume and surface concentration….)
ㆍDepolarization ratio
ㆍLidar ratio
ㆍWater vapor mixing ratio
ㆍCloud&Aerosol classification
ㆍVisibility
ㆍColor ratio*
ㆍAngstrom exponent*
ㆍSSA (Single scattering albedo)*
ㆍEtc
Features
ㆍMulti-Mission support
ㆍFully Automated
ㆍWindows and Linux OS
ㆍIntuitive GUI
ㆍOpen Architecture for future mission
ㆍPlug-in upgradable
ㆍOffer Level2 products
ㆍUser definable algorithm