scholarly journals Variation of Ozone and PBL from the Lidar Observations and WRF-Chem Model in NYC Area During the 2018 Summer LISTOS Campaign

2020 ◽  
Vol 237 ◽  
pp. 08027
Author(s):  
Kaihui Zhao ◽  
Yonghua Wu ◽  
Jianping Huang ◽  
Rongsheng Jiang ◽  
Guillaume Gronoff ◽  
...  

High ozone (O3) episodes frequently occur in New York metropolitan and the downwind coastal area in summer. In this study, lidar/ceilometer are combined with WRF/Chem model to investigate an O3 event on Aug. 27~30 2018. We examine the spatial-temporal variabilities of O3 and planetary-boundary-layer height (PBLH) and assess the model performance on simulating surface O3 during this episode. By comparing with the lidar observations, the WRF/Chem is able to capture high O3 distribution in the PBL at noon and indicates consistent diurnal evolution for the ground O3. Nevertheless, in the early morning and night, the model overestimates the ground O3 and underestimates the PBLH.

2020 ◽  
Vol 237 ◽  
pp. 03010
Author(s):  
Dingdong Li ◽  
Barry Gross ◽  
Yonghua Wu ◽  
Fred Moshary

Planetary-boundary-layer-height (PBLH) plays a critical role in the study of urban air quality, weather and climate. Continuous observation is critical in understanding air pollution processes and evaluation of air quality/ weather models in the complex urban environment. In this study, we observe the PBLH variation using multiple ceilometers and lidar in New York City (NYC) during both the summer and winter time and explore the potential correlation with ground PM2.5. An automated quality control and quality assurance (QC/QA) method is developed to optimize the PBLH determination from the ceilometers (Vaisala CL51 and Lufft CHM15k) product. The PBLHs from the two ceilometers and lidar show good consistency (R2=0.68~0.88) during the convective PBL period at 15:00-21:00 UTC (10:00-16:00 EST). We also investigate the seasonal variation and diurnal evolution of PBLH and demonstrate an inverse relation between the PBLH and PM2.5 during the morning transient period of PBLH growth. Further, the correlation between the ceilometer-attenuated backscatter and ground PM2.5 and its dependences on the vertical altitude are analyzed, showing that the aerosols in the PBL are more deeply mixed while also being influenced by the relatively high humidity variability during the summer.


2010 ◽  
Vol 23 (21) ◽  
pp. 5790-5809 ◽  
Author(s):  
Shuyan Liu ◽  
Xin-Zhong Liang

Abstract An observational climatology of the planetary boundary layer height (PBLH) diurnal cycle, specific to surface characteristics, is derived from 58 286 fine-resolution soundings collected in 14 major field campaigns around the world. An objective algorithm determining PBLH from sounding profiles is first developed and then verified by available lidar and sodar retrievals. The algorithm is robust and produces realistic PBLH as validated by visual examination of several thousand additional soundings. The resulting PBLH from all existing data is then subject to various statistical analyses. It is demonstrated that PBLH occurrence frequencies under stable, neutral, and unstable regimes follow a narrow, intermediate, and wide Gamma distribution, respectively, over both land and oceans. Over ice all exhibit a narrow distribution. The climatological PBLH diurnal cycle is strong over land and oceans, with a distinct peak at 1500 and 1200 LT, whereas the cycle is weak over ice. Relative to midlatitude land, the PBLH variability over tropical oceans is larger during the morning and at night but much smaller in the afternoon. This study provides a unique observational database for critical model evaluation on the PBLH diurnal cycle and its temporal/spatial variability.


2014 ◽  
Author(s):  
Gregori de Arruda Moreira ◽  
Fabio J. da Silva Lopes ◽  
Juan L. Guerrero-Rascado ◽  
Maria José Granados-Muñoz ◽  
Riad Bourayou ◽  
...  

2021 ◽  
pp. 118919
Author(s):  
Yubing Pan ◽  
Qianqian Wang ◽  
Pengkun Ma ◽  
Xingcan Jia ◽  
Zhiheng Liao ◽  
...  

2021 ◽  
Vol 41 (7) ◽  
pp. 0728002
Author(s):  
于思琪 Yu Siqi ◽  
刘东 Liu Dong ◽  
徐继伟 Xu Jiwei ◽  
王珍珠 Wang Zhenzhu ◽  
吴德成 Wu Decheng ◽  
...  

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