Synergy of Raman Lidar and Modeled Temperature for Relative Humidity Profiling: Assessment and Uncertainty Analysis
- Resource Type
- Periodical
- Authors
- Munoz-Porcar, C.; Sicard, M.; Granados-Munoz, M.J.; Barragan, R.; Comeron, A.; Rocadenbosch, F.; Rodriguez-Gomez, A.; Garcia-Vizcaino, D.
- Source
- IEEE Transactions on Geoscience and Remote Sensing IEEE Trans. Geosci. Remote Sensing Geoscience and Remote Sensing, IEEE Transactions on. 59(10):8841-8852 Oct, 2021
- Subject
- Geoscience
Signal Processing and Analysis
Temperature measurement
Laser radar
Atmospheric measurements
Atmospheric modeling
Uncertainty
Instruments
Nitrogen
Raman lidar
relative humidity (RH)
remote sensing
water vapor
- Language
- ISSN
- 0196-2892
1558-0644
Relative humidity (RH) profiling using Raman lidars requires simultaneous range-resolved temperature and pressure data that are not always available. We propose and assess a method based on the use of a locally retrieved atmospheric model to estimate the temperature and pressure profiles. This model relies on the data from daily radiosonde launches at Barcelona during a five-year-long period (2015–2019). We have computed the range-resolved error of the model compared with the radiosonde “true” temperature profiles. Then, we have calculated the induced uncertainty in the recalculated RH profiles, finding that the standard deviation at 5 km is