Retrieval of Boundary Layer Height Using the Spline Numerical Differential Method: A Case Study of the Qinghai-Tibet Plateau

2021 ◽  
Author(s):  
jianyin zhou ◽  
Jie Xiang ◽  
Sixun Huang
Keyword(s):  
Boundary Layer ◽  
Differential Method ◽  
Tibet Plateau ◽  
Layer Height ◽  
Boundary Layer Height ◽  
Qinghai Tibet Plateau

scholarly journals Effect of Surface Heterogeneity on the Boundary-Layer Height: A Case Study at a Semi-Arid Forest

2018 ◽  
Vol 169 (2) ◽  
pp. 233-250 ◽  
Author(s):  
Peter Brugger ◽  
Tirtha Banerjee ◽  
Frederik De Roo ◽  
Konstantin Kröniger ◽  
Rafat Qubaja ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Surface Heterogeneity ◽  
Layer Height ◽  
Boundary Layer Height ◽  
Semi Arid ◽  
Effect Of Surface

scholarly journals Distribution and characteristics of large landslides in a fault zone: a case study of the NE Qinghai-Tibet Plateau

Geomorphology ◽  
2021 ◽  
pp. 107592
Author(s):  
Tianjun Qi ◽  
Xingmin Meng ◽  
Feng Qing ◽  
Yan Zhao ◽  
Wei Shi ◽  
...  
Keyword(s):  
Fault Zone ◽  
Tibet Plateau ◽  
Qinghai Tibet Plateau

scholarly journals Technical note: Boundary layer height determination from Lidar for improving air pollution episode modelling: development of new algorithm and evaluation

2017 ◽  
Author(s):  
Ting Yang ◽  
Zifa Wang ◽  
Wei Zhang ◽  
Alex Gbaguidi ◽  
Nubuo Sugimoto ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Air Pollution ◽  
High Performance ◽  
Accurate Determination ◽  
Technical Note ◽  
Strong Increase ◽  
Layer Height ◽  
Boundary Layer Height ◽  
Retrieval Algorithms ◽  
The Impact

Abstract. Predicting air pollution events in low atmosphere over megacities requires thorough understanding of the tropospheric dynamic and chemical processes, involving notably, continuous and accurate determination of the boundary layer height (BLH). Through intensive observations experimented over Beijing (China), and an exhaustive evaluation existing algorithms applied to the BLH determination, persistent critical limitations are noticed, in particular over polluted episodes. Basically, under weak thermal convection with high aerosol loading, none of the retrieval algorithms is able to fully capture the diurnal cycle of the BLH due to pollutant insufficient vertical mixing in the boundary layer associated with the impact of gravity waves on the tropospheric structure. Subsequently, a new approach based on gravity wave theory (the cubic root gradient method: CRGM), is developed to overcome such weakness and accurately reproduce the fluctuations of the BLH under various atmospheric pollution conditions. Comprehensive evaluation of CRGM highlights its high performance in determining BLH from Lidar. In comparison with the existing retrieval algorithms, the CRGM potentially reduces related computational uncertainties and errors from BLH determination (strong increase of correlation coefficient from 0.44 to 0.91 and significant decrease of the root mean square error from 643 m to 142 m). Such newly developed technique is undoubtedly expected to contribute to improve the accuracy of air quality modelling and forecasting systems.

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