EGU22-10840, updated on 28 Mar 2022
https://doi.org/10.5194/egusphere-egu22-10840
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Analysis of NO2 and O3 variation in 2020 and 2021 and application to evaluate the GFS-CMAQ model forecast in New York city 

Margarita Kulko1,4, Maggie Liang1,4, Jeff McQueen2, Ho-Chun Huang2,3, Edward Strobach2,3, Yonghua Wu1,4, and Fred Moshary1,4
Margarita Kulko et al.
  • 1Optical Remote Sensing Lab, City College of New York, City University of New York, USA (moshary@ccny.cuny.edu)
  • 2Environmental Modeling Center, National Centers for Environmental Prediction, National Weather Service, National Oceanic and Atmospheric Administration, USA
  • 33I.M. Systems Group Inc., USA
  • 4NOAA Cooperative Science Center for Earth System Sciences and Remote Sensing Technologies, City College of New York, City University of New York, USA

The US National Ambient Air Quality Standard (NAAQS) dictates the limits on atmospheric pollutants, including the tropospheric ozone (O3). Its exceedance of the limit typically happens in the summer because of changes in meteorology, chemistry, and emissions. Since O3 affects pulmonary function and has been linked to higher risks of depression and anxiety diagnoses, it is essential to understand O3 and its precursor nitrogen dioxide (NO2) variations. In July 2021, the Finite Volume Cube-Sphere Dynamic Core in Global Forecasting System (FV3-based GFS) became the new meteorological driver coupled with the Environmental Protection Agency’s Community Multiscale Air Quality System (CMAQ). Together they make up the National Air Quality Forecasting Capability (NAQFC), which provides hourly forecasts of a variety of atmospheric species and meteorological fields. Therefore, it is necessary to evaluate the model’s output relevant to O3 production in an urban environment and investigate potential biases.

This study uses integrated remote sensing from a ceilometer, a wind LIDAR, the PANDORA spectrometer, and satellite Sentinel-5, and surface observations to investigate the spatial and temporal variability of NO2, O3, and planetary-boundary-layer height (PBLH) in August 2020 and 2021.

At first, surface-level and column NO2 was observed from the co-located in-situ samplers and the PANDORA spectrometers at City College of New York (CCNY) and Queens College (QC) sites in New York City area. Then, the NO2 and O3 temporal variations at the two sites were compared and indicated a strong correlation for O3 and a moderate correlation for NO2. Meanwhile, the TROPOMI observations show spatial variation of tropospheric column NO2.

The performance of the model’s product was evaluated using integrated observations and showed to be in good agreement with observations for the surface O3 at the two sites for the month of August 2020. For the surface NO2, the model forecast product generally showed similar diurnal variation but over-predicted the peak values likely related to complex urban emission sources and NO2 vertical mixing in the PBL. The correlation analysis of the model and observation data over weekdays and weekends were conducted that demonstrated the increased emission effects from the vehicular traffic during weekdays. The O3-NO2 titration from the model showed good consistency with the observations. Additionally, O3-NO2 variations from the month of August 2021 were evaluated and compared against the levels in 2020.

How to cite: Kulko, M., Liang, M., McQueen, J., Huang, H.-C., Strobach, E., Wu, Y., and Moshary, F.: Analysis of NO2 and O3 variation in 2020 and 2021 and application to evaluate the GFS-CMAQ model forecast in New York city , EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10840, https://doi.org/10.5194/egusphere-egu22-10840, 2022.