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. 2026 May 11;60(20):14773–14774. doi: 10.1021/acs.est.6c05436

Correction to “Quantifying Multi-pollutant Co-exposure via Deep Learning-Based Simultaneous Prediction Using Geostationary Satellite Data”

Eunjin Kang, Sihun Jung, Jungho Im ✉, Hyunyoung Choi, Soomin Hwang, Cheolhee Yoo, Julian D Marshall, Deoksu Kim, Jhoon Kim, Sang-Min Kim
PMCID: PMC13217608  PMID: 42113025

The legend colors for NO2 and O3 were interchanged in Figure . This has been corrected in the revised figure. The legends in the related time series plots have also been corrected in Figures S16 and S17 in the Supporting Information, and the Supporting Information has been updated accordingly. The hourly O3 time-series and corresponding statistics in Figure (BTH) and Supporting Information Figures S16 (YRD) and S17 (SMA) have been corrected. The underlying model predictions remain unchanged. Accordingly, the related sentence in the manuscript was corrected as follows: In BTH, the hourly R2 and nRMSE for O3 were updated from 0.88 to 0.92 and from 0.30 to 0.18, respectively. The sentence describing YRD and SMA performance was corrected from “Performance in YRD and SMA was similarly strong (overall nRMSE < 0.21 and 0.25, respectively)” to “Performance in YRD and SMA was similarly strong (overall nRMSE < 0.21 and 0.32, respectively)” (Figures S16 and S17).

3.

3

Daily and hourly time series of multiple air pollutants in BTH (unseen stations). Time-series validation results at unseen stations are shown on a daily scale in 2021 and on an hourly scale from March to April 2021 for the key hotspot region, BTH. To represent overall trends, hourly concentrations from seven unseen stations within the BTH region were averaged. Statistic metrics (R 2, RMSE, and nRMSE) are displayed in the upper-left corner of each panel.

Supplementary Material

es6c05436_si_001.pdf (8.2MB, pdf)

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.est.6c05436.

  • Additional descriptions of the study area, datasets, preprocessing, and model configurations; sensitivity analyses of input sequence length, cloud cover, and distances between training and separate test stations; extended model validation results stratified by geographic region, terrain, pollution level, and coastal proximity; supplementary spatial and temporal distributions of hourly patterns and seasonal and annual Stage 1 and Stage 2 air pollutant estimates and their differences; and additional analyses of co-exposure indices and emission source-based statistical relationships (PDF)

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This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

es6c05436_si_001.pdf (8.2MB, pdf)

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