This work demonstrates improved water vapor retrieval in the atmosphere using advanced lidar techniques, indicating enhanced observational capabilities.
Key Points
The research aims to improve the retrieval of water vapor using multi-pulse-length lidar data by optimizing signal processing techniques.
Implemented Poisson Total Variation for signal processing
Employed merged estimates of backscatter and water vapor
Utilized both longer and shorter pulse configurations
Conducted intercomparison with radiosondes and ERA5 reanalysis
Achieved absolute humidity retrievals starting at 100 m up to 6 km
Enhanced data availability and resolution over a broader altitude range
Identified instances of inaccurate water vapor representation by reanalysis models