Laser & Infrared, Volume. 55, Issue 1, 120(2025)
ERA5 calibration and analysis of water vapor inversion of Raman LiDAR
Raman LiDAR is a highly accurate method for detecting atmospheric water vapor. Sounding data are often used for calibration and comparative analysis of Raman lidar inversions of water vapour, but sounding data have limitations in time and space, and the calibration and inversion of Raman lidar are restricted when sounding data are not available. The ERA5 reanalysis data have a higher similarity to sounding data, and the temporal and spatial resolution is higher than that of sounding data. The applicability of ERA5 water vapor mixing ratio data in Anhui is analyzed and the results show that the water-vapour mixing ratios of the ERA5 data and the sounding data at two sounding stations in Anhui correlate well with each other, and the overall deviation is small. Therefore, in Hefei where there is no radiosonde data, the ERA5 reanalysis data is selected as the reference data to calibrate the water vapor mixing ratio retrieved by Raman LiDAR. The calibration constant is substituted into the inversion formula of the water-vapor mixing ratio, and the vertical profile of water vapor mixing ratio at height is obtained. The inversion results are compared with the water vapor mixing ratio profile of Hefei obtained by the data interpolation of the radiosonde station, and the relative error is about -15 %~7 % at the altitude of 0.5 km ~1.5 km. The results show that the water vapor mixing ratio obtained by Raman LiDAR is in good agreement with the water vapor mixing ratio obtained by the data interpolation of the radiosonde station, which verifies the feasibility of ERA5 data for calibration of water vapor mixing ratio retrieved by Raman LiDAR.
Get Citation
Copy Citation Text
WANG Wen-hui, CAO Nian-wen. ERA5 calibration and analysis of water vapor inversion of Raman LiDAR[J]. Laser & Infrared, 2025, 55(1): 120
Category:
Received: May. 19, 2024
Accepted: Mar. 13, 2025
Published Online: Mar. 13, 2025
The Author Email: CAO Nian-wen (nwcao@nuist.edu.cn)