| Issue |
EPJ Web Conf.
Volume 237, 2020
The 29th International Laser Radar Conference (ILRC 29)
|
|
|---|---|---|
| Article Number | 08027 | |
| Number of page(s) | 4 | |
| Section | Lidar Data Analysis and Models | |
| DOI | https://doi.org/10.1051/epjconf/202023708027 | |
| Published online | 07 July 2020 | |
https://doi.org/10.1051/epjconf/202023708027
Variation of Ozone and PBL from the Lidar Observations and WRF-Chem Model in NYC Area During the 2018 Summer LISTOS Campaign
1 Yale-NUIST Center on Atmospheric Environment, Nanjing Univ. of Information Science & Technology, China.
2 the City College of New York (CCNY), New York, NY 10031, USA.
3 NOAA–Cooperative Science Center for Earth System Sciences and Remote Sensing Technologies
4 NOAA-NCEP Environmental Modeling Center and IM System Group Inc., College Park, MD 20740, USA
5 School of Atmospheric Sciences, Nanjing University of Information Science and Technology, China
6 NASA Langley Research Center, Hampton, VA 23681, USA
* Email: 645746215@qq.com
Published online: 7 July 2020
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.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.