Raman Mi radarThrough N2Raman scattering signal and meter signal，Can directly measure the extinction coefficient of pollutants; At the same time, Raman radar serves as the benchmark equipment for particle radar observation network, providing online data quality control and calibration data distribution, improving the data quality of the entire observation network, and enhancing the accuracy of high transport flux estimation; After verification and quality control of observation data, the data quality can improve the accuracy of the model, facilitate the scenario review of regional pollution status, and improve the accuracy of forecasting and early warning.

Raman temperature profile lidarUtilizing N2The rotational Raman effect is used to detect the spatiotemporal distribution of temperature fields and determine inversion regions. Raman meter temperature profile lidar can monitor the number, height, and thickness of inversion layers, while atmospheric temperature profiles can calculate the height of boundary layers, providing effective basis for decision-making in response to temperature changes in fields such as environment, climate, and transportation.

Raman meter humidity profile radarIn addition to the function of particle detection, the Raman scattering signal of water vapor can be used to detect the spatiotemporal distribution of relative humidity. The Raman meter humidity profile lidar detects the spatiotemporal distribution of atmospheric water vapor mixing ratio and relative humidity, which can be used for pollutant identification and early warning and forecasting of pollution development. The water vapor mixing ratio data is also widely used in fields such as transportation, meteorology, and water conservancy.

Raman meter temperature and humidity profile lidar，Used to detect atmospheric aerosol profiles, water vapor profiles, and temperature profiles in the troposphere.

High precision: accurate detection (temperature ± 1k, humidity); Conducted multiple sounding comparison experiments;

High resolution: High spatiotemporal resolution; High signal-to-noise ratio and long detection range;

Multi parameter: Simultaneously providing spatiotemporal evolution of particulate matter, water vapor, and temperature, supporting the study of the relationship between atmospheric pollution and meteorological conditions.

Laser wavelengths: 355nm, 532nm, and 355nm

Spatial resolution: 7.5m and its multiples (adjustable)

Detection distance: ≥ 4km