Determination of planetary boundary layer height with lidar signals using maximum limited height initialization and range restriction (MLHI-RR)

17Citations
Citations of this article
12Readers
Mendeley users who have this article in their library.

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.

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Zhong, T., Wang, N., Shen, X., Xiao, D., Xiang, Z., & Liu, D. (2020). Determination of planetary boundary layer height with lidar signals using maximum limited height initialization and range restriction (MLHI-RR). Remote Sensing, 12(14). https://doi.org/10.3390/rs12142272

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 3

50%

Researcher 2

33%

Professor / Associate Prof. 1

17%

Readers' Discipline

Tooltip

Environmental Science 2

33%

Engineering 2

33%

Agricultural and Biological Sciences 1

17%

Earth and Planetary Sciences 1

17%

Save time finding and organizing research with Mendeley

Sign up for free