scholarly journals Predicting vertical concentration profiles in the marine atmospheric boundary layer with a Markov chain random walk model

2020 ◽  
Author(s):  
Hyungwon John Park ◽  
Thomas Sherman ◽  
Livia S. Freire ◽  
Guiquan Wang ◽  
Diogo Bolster ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Markov Chain ◽  
Random Walk ◽  
Atmospheric Boundary Layer ◽  
Random Walk Model ◽  
Concentration Profiles ◽  
Marine Atmospheric Boundary Layer

scholarly journals Predicting Vertical Concentration Profiles in the Marine Atmospheric Boundary Layer With a Markov Chain Random Walk Model

2020 ◽  
Vol 125 (19) ◽  
Author(s):  
Hyungwon John Park ◽  
Thomas Sherman ◽  
Livia S. Freire ◽  
Guiquan Wang ◽  
Diogo Bolster ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Markov Chain ◽  
Random Walk ◽  
Atmospheric Boundary Layer ◽  
Random Walk Model ◽  
Concentration Profiles ◽  
Marine Atmospheric Boundary Layer

scholarly journals Parameterized Vertical Concentration Profiles for Aerosols in the Marine Atmospheric Boundary Layer

2018 ◽  
Vol 123 (17) ◽  
pp. 9688-9702 ◽  
Author(s):  
Indrajith D. Nissanka ◽  
Hyungwon John Park ◽  
Livia S. Freire ◽  
Marcelo Chamecki ◽  
Jeffrey S. Reid ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Atmospheric Boundary Layer ◽  
Concentration Profiles ◽  
Marine Atmospheric Boundary Layer

scholarly journals Inference of Marine Atmospheric Boundary Layer Moisture and Temperature Structure Using Airborne Lidar and Infrared Radiometer Data

1998 ◽  
Vol 37 (3) ◽  
pp. 308-324 ◽  
Author(s):  
Stephen P. Palm ◽  
Denise Hagan ◽  
Geary Schwemmer ◽  
S. H. Melfi
Keyword(s):  
Boundary Layer ◽  
Atmospheric Boundary Layer ◽  
Potential Temperature ◽  
Airborne Lidar ◽  
Temperature Structure ◽  
Marine Atmospheric Boundary Layer ◽  
Space Technology ◽  
Near Surface ◽  
Surface Moisture ◽  
Infrared Radiometer

Abstract A new technique for retrieving near-surface moisture and profiles of mixing ratio and potential temperature through the depth of the marine atmospheric boundary layer (MABL) using airborne lidar and multichannel infrared radiometer data is presented. Data gathered during an extended field campaign over the Atlantic Ocean in support of the Lidar In-space Technology Experiment are used to generate 16 moisture and temperature retrievals that are then compared with dropsonde measurements. The technique utilizes lidar-derived statistics on the height of cumulus clouds that frequently cap the MABL to estimate the lifting condensation level. Combining this information with radiometer-derived sea surface temperature measurements, an estimate of the near-surface moisture can be obtained to an accuracy of about 0.8 g kg−1. Lidar-derived statistics on convective plume height and coverage within the MABL are then used to infer the profiles of potential temperature and moisture with a vertical resolution of 20 m. The rms accuracy of derived MABL average moisture and potential temperature is better than 1 g kg−1 and 1°C, respectively. The method relies on the presence of a cumulus-capped MABL, and it was found that the conditions necessary for use of the technique occurred roughly 75% of the time. The synergy of simple aerosol backscatter lidar and infrared radiometer data also shows promise for the retrieval of MABL moisture and temperature from space.

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