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Water Vapor Mixing Ratio Distribution Inversion By Raman Lidar In Beijing.pdf

epjconf_ilrc292020_06020.pdf
Preview of Water Vapor Mixing Ratio Distribution Inversion by Raman Lidar in Beijing
🔗 Source: epj-conferences.org
📊 Size: 1.4 MB
👤 Author: Yu SiQi, Liu Dong, Xu JiWei, Wang ZhenZhu, Wu DeCheng, Wang Yingjian
⬇️ Downloads: 29

Summary

The study presents an analysis of water vapor mixing ratios (WVMR) in Beijing using the Water Aerosol Raman Lidar-Ⅱ (WARL-Ⅱ) instrument over a one-year period from September 2017 to August 2018. The key findings include:

- Inversion Method: WVMR profiles are inverted from lidar data using a classical retrieval approach, and water ratios are retrieved from radiosonde data for comparison.
- Calibration and Comparison: The calibration constant K is determined through comparing lidar measurements with radiosonde data, demonstrating the accuracy of WARL-Ⅱ measurements.
- Seasonal Distribution: WVMR vertical distributions show distinct seasonal variations, ranging from 0 to 18 g/kg in summer to 0 to 3 g/kg in winter, consistent with precipitation patterns.
- Precession Correlation: The seasonal mean WVMR is closely related to precipitation, as evidenced by comparing lidar data with NCEP/NCAR reanalyzed rainfall data.
- Total Cloud Cover Relationship: The study also notes a correlation between WVMR and total cloud cover at the observation station.

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  • File Format: PDF
  • File Size: 1.4 MB
  • Pages: 4
  • Language: EN
  • Author: Yu SiQi, Liu Dong, Xu JiWei, Wang ZhenZhu, Wu DeCheng, Wang Yingjian
  • Total Downloads: 29
  • Last Updated: 7 days ago

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