Papers
2
Total Citations
43
H-Index
2
About
Songhua Wu is a leading atmospheric scientist whose research centers on remote sensing of the atmosphere, with a particular focus on lidar technology and water vapor profiling. Her major contributions lie in developing practical calibration methods for Raman lidar systems, which are critical for accurate atmospheric water vapor measurements. Wu’s most cited work, published in 2018, introduces a novel approach to continuously calibrate Raman lidar water vapor profiles by integrating co-located AERONET photometer observations with GDAS meteorological data. This method, applied to the multiwavelength polarization Raman lidar PollyXT, has been widely adopted, earning 41 citations and demonstrating its significant impact on the field. By enabling more reliable water vapor measurements, her research supports advancements in weather prediction, climate modeling, and aerosol-cloud interaction studies. Wu’s work is notable for its practical applicability, bridging the gap between complex lidar observations and operational atmospheric monitoring. Her contributions continue to shape how researchers and meteorologists refine remote sensing techniques for studying the Earth’s atmosphere.
Research Focus
Key Achievements
Top Papers
- 1
- 2