Back to Search
Start Over
Determination of Planetary Boundary Layer height with Lidar Signals Using Maximum Limited Height Initialization and Range Restriction (MLHI-RR)
- Source :
- Remote Sensing, Vol 12, Iss 2272, p 2272 (2020), Remote Sensing; Volume 12; Issue 14; Pages: 2272
- Publication Year :
- 2020
- Publisher :
- MDPI AG, 2020.
-
Abstract
- The planetary boundary layer height (PBLH) is a vital parameter to characterize the surface convection, which determines the diffusion of air pollutants. The accurate inversion of PBLH is extremely important for the study of aerosol concentrations, in order to predict air quality and provide weather forecast. Aerosol lidar, a powerful remote sensing instrument for detecting the characteristics of atmospheric temporal and spatial evolution, can continuously retrieve the planetary boundary layer (PBL) and obtain high resolution measurements. However, multi-layer conditions, including one or more layers of aerosol, or cloud above the PBL, can seriously interfere the accuracy of PBLH determined by lidar. A new technique of maximum limited height initialization and range restriction (MLHI-RR) is proposed to eliminate the impact of multi-layer conditions on PBLH determination. Four widely used methods for deriving PBLH are utilized, in addition to the MLHI-RR constraint. Comparisons demonstrate that the proposed technique can determine the PBLH in multi-layer conditions with higher accuracy. The proposed technique requires no affiliate information besides lidar signals, which provide a convenient method for PBLH determination under complicated conditions.
- Subjects :
- multiple-layer interference
010504 meteorology & atmospheric sciences
Planetary boundary layer
Science
Initialization
Inversion (meteorology)
lidar
planetary boundary layer height
radiosonde
01 natural sciences
Aerosol
law.invention
010309 optics
Lidar
law
0103 physical sciences
Radiosonde
Range (statistics)
General Earth and Planetary Sciences
Environmental science
Diffusion (business)
0105 earth and related environmental sciences
Remote sensing
Subjects
Details
- ISSN :
- 20724292
- Volume :
- 12
- Database :
- OpenAIRE
- Journal :
- Remote Sensing
- Accession number :
- edsair.doi.dedup.....93f2f4673d8e4e4ca16c0321fe6862ab
- Full Text :
- https://doi.org/10.3390/rs12142272