On the factors governing water vapor turbulence mixing in the convective boundary layer over land: Concept and data analysis technique using ground-based lidar measurements

2016 ◽  
Vol 554-555 ◽  
pp. 17-25 ◽  
Author(s):  
Sandip Pal
2017 ◽  
Vol 37 (2) ◽  
pp. 0201003
Author(s):  
洪光烈 Hong Guanglie ◽  
李嘉唐 Li Jiatang ◽  
孔 伟 Kong Wei ◽  
葛 烨 Ge Ye ◽  
舒 嵘 Shu Rong

2006 ◽  
Vol 6 (12) ◽  
pp. 4215-4230 ◽  
Author(s):  
O. Hellmuth

Abstract. While in Paper I of four papers a revised columnar high-order modelling approach to investigate gas-aerosol-turbulence interactions in the convective boundary layer (CBL) was deduced, in the present Paper II the model capability to predict the evolution of meteorological CBL parameters is demonstrated. Based on a model setup to simulate typical CBL conditions, predicted first-, second- and third-order moments were shown to agree very well with those obtained from in situ and remote sensing turbulence measurements such as aircraft, SODAR and LIDAR measurements as well as with those derived from ensemble-averaged large eddy simulations and wind tunnel experiments. The results show, that the model is able to predict the meteorological CBL parameters, required to verify or falsify, respectively, previous hypothesis on the interaction between CBL turbulence and new particle formation.


2005 ◽  
Vol 5 (6) ◽  
pp. 11489-11515
Author(s):  
O. Hellmuth

Abstract. While in part I of the present paper a revised columnar high-order modelling approach to investigate gas-aerosol interactions in the convective boundary layer (CBL) was deduced, in the present part the model capability to predict the evolution of meteorological CBL parameters is demonstrated. Based on a model setup to simulate typical CBL conditions, predicted first-, second- and third-order moments were shown to agree very well with those obtained from in situ and remote sensing turbulence measurements such as aircraft, SODAR and LIDAR measurements as well as with those derived from ensemble-averaged large-eddy simulations and wind tunnel experiments. The results show that the model is able to predict the meteorological CBL parameters, required to verify or falsify, respectively, previous hypothesis on the interaction between CBL turbulence and new particle formation.


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