Preprints
https://doi.org/10.5194/essd-2024-571
https://doi.org/10.5194/essd-2024-571
03 Apr 2025
 | 03 Apr 2025
Status: this preprint is currently under review for the journal ESSD.

Global Source-Receptor-Relationship Database for Integrated Tropospheric Ozone Observations from Multiplatform Datasets in Western North America during 1994–2021

Yu Yan Cui, Ju-Mee Ryoo, Matthew S. Johnson, Kai-Lan Chang, Emma Yates, Owen R. Cooper, and Laura T. Iraci

Abstract. Long-term atmospheric ozone observations in Western North America (WNA) provide essential data for assessing tropospheric ozone trends. Backward atmospheric simulations based on these observations establish the source-receptor relationships (SRRs) to improve our understanding of the factors driving ozone trends across different regions, time periods, and atmospheric layers. In this study, we integrated 28 years of ozone data (1994–2021) from ozonesondes, lidar, commercial aircraft, and aircraft campaigns across WNA, spanning the upper atmospheric boundary layer, free troposphere, and upper troposphere (i.e., 900 to 300 hPa). We reconciled the multiplatform datasets using a data fusion framework to generate 553,608 gridded ozone receptors. For each receptor, we use the FLEXible PARTicle (FLEXPART) dispersion model, driven by ERA5 reanalysis data, to achieve the SRRs calculations, providing global simulations at high temporal (hourly) and spatial (1° x 1°) resolution from the surface up to 20 km above ground level. This SRR database retains detailed information for each receptor, including the gridded ozone value product, which enables user to illustrate and identify source contributions to various subsets of ozone observations in the troposphere above WNA over nearly 3 decades at different vertical layers and temporal scales, such as diurnal, daily, seasonal, intra-annual, and decadal. More generally, the calculated SRRs are applicable to any study looking to evaluate origins of airmasses reaching WNA. As such, this database can support source contribution analyses for other atmospheric components observed over WNA, if other co-located observations have been made at the spatial and temporal scales defined for some or all of the gridded ozone receptors used here.

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Yu Yan Cui, Ju-Mee Ryoo, Matthew S. Johnson, Kai-Lan Chang, Emma Yates, Owen R. Cooper, and Laura T. Iraci

Status: open (until 10 May 2025)

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Yu Yan Cui, Ju-Mee Ryoo, Matthew S. Johnson, Kai-Lan Chang, Emma Yates, Owen R. Cooper, and Laura T. Iraci

Data sets

Global Source-Receptor-Relationship Database for Western North America Tropospheric Ozone Observations during 1994-2021 using FLEXPART-ERA5 Yu Yan Cui https://doi.org/10.5281/zenodo.14227019

Gridded ozone receptors over western North America from 900hPa to 300hPa during 1994-2021 Kai-Lan Chang and Owen R. Cooper https://doi.org/10.5281/zenodo.14227019

Post-Processed Global Source-Receptor-Relationship Database for Western North America Tropospheric Ozone Observations during 1994-2021 Ju-Mee Ryoo, Laura T. Iraci, Matthew S. Johnson https://doi.org/10.5281/zenodo.14227019

Interactive computing environment

Global Source-Receptor-Relationship Database for Western North America Tropospheric Ozone Observations during 1994-2021 using FLEXPART-ERA5 Yu Yan Cui https://doi.org/10.5281/zenodo.14227019

Yu Yan Cui, Ju-Mee Ryoo, Matthew S. Johnson, Kai-Lan Chang, Emma Yates, Owen R. Cooper, and Laura T. Iraci

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Short summary
Atmospheric observations show that free tropospheric ozone has increased across the Northern Hemisphere over the past three decades. The sources driving this increase remain unclear. In this study, we developed a source-receptor relationship database combining harmonized multiplatform ozone data and advanced atmospheric transport modeling. This database can identify emission regions responsible for ozone increases and can also be used to analyze other co-observed atmospheric constituents.
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