Global OMI HCHO Level-3 oversampling dataset: high spatial resolution and lightweight uncertainty

Satellite observations of tropospheric formaldehyde (HCHO) have been widely used to support diagnosing atmospheric environmental quality. As one of the most classic trace gas payloads, the Ozone Monitoring Instrument (OMI) releases HCHO Level-2 data, while coarse resolution and relatively high uncertainty reduce the potential value of the data. We report a global multi-scale HCHO oversampling dataset version 1.0 (referred to as OMHCHOS V1.0) produced by NASA Level-2 OMI HCHO product using self-developed oversampling algorithm, with data from 2005 to 2023 as of the date of submission. This comprehensive dataset encompasses seven distinct spatial resolutions (up to 0.05°) and twelve temporal resolutions (monthly and months), enabling precise quantification of uncertainty propagation and relative uncertainties. To facilitate on-demand retrieval by users, we have developed a matching spatio-temporal scale optimisation model that integrates three critical parameters of HCHO column: temporal resolution (TR), spatial resolution (SR), and relative uncertainty (UR). This dataset will provide researchers with more reliable sources for conducting high-resolution, high-accuracy studies on HCHO-related atmospheric environmental implications.

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Publication Details

Journal
Scientific Data
Published
2026-01-19
DOI
https://doi.org/10.1038/s41597-026-06577-w
Primary Topic
Atmospheric chemistry and aerosols
Type
article
Field-Weighted Citation Impact
0.00

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article

Global OMI HCHO Level-3 oversampling dataset: high spatial resolution and lightweight uncertainty

X. Gu, Dakang Wang, Xiaoxing Zuo, Xiankun Yang et al.
Scientific Data
Atmospheric chemistry and aerosols
article

Global OMI HCHO Level-3 oversampling dataset: high spatial resolution and lightweight uncertainty

X. Gu, Dakang Wang, Xiaoxing Zuo, Xiankun Yang, Jinnian Wang, Hui Xia, Yongru Mo, Juan Li, Wenfu Sun, Zhaolong Song, Dongchuan Pu, Lei Zhu, Tianyu Lu, Chenglong Yan
article en

Abstract

Satellite observations of tropospheric formaldehyde (HCHO) have been widely used to support diagnosing atmospheric environmental quality. As one of the most classic trace gas payloads, the Ozone Monitoring Instrument (OMI) releases HCHO Level-2 data, while coarse resolution and relatively high uncertainty reduce the potential value of the data. We report a global multi-scale HCHO oversampling dataset version 1.0 (referred to as OMHCHOS V1.0) produced by NASA Level-2 OMI HCHO product using self-developed oversampling algorithm, with data from 2005 to 2023 as of the date of submission. This comprehensive dataset encompasses seven distinct spatial resolutions (up to 0.05°) and twelve temporal resolutions (monthly and months), enabling precise quantification of uncertainty propagation and relative uncertainties. To facilitate on-demand retrieval by users, we have developed a matching spatio-temporal scale optimisation model that integrates three critical parameters of HCHO column: temporal resolution (TR), spatial resolution (SR), and relative uncertainty (UR). This dataset will provide researchers with more reliable sources for conducting high-resolution, high-accuracy studies on HCHO-related atmospheric environmental implications.

Scientific DataVol. 13(1)
Northeastern University (US), Royal Netherlands Meteorological Institute (NL), Shenzhen University (CN), Royal Belgian Institute for Space Aeronomy (BE), Southern University of Science and Technology (CN), Guangzhou University (CN), Center For Remote Sensing (United States) (US), Guangzhou Institute of Geography (CN), Delft University of Technology (NL)
National Natural Science Foundation of China
Openalex Percentile: Top 88%
Atmospheric chemistry and aerosols
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