Evaluating the spatial representativeness of ground-based observations for satellite total ozone products

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  • Chunguang Lyu
  • Zhang, Wenmin
  • Chi Zhang
  • Yunfei Shi
  • Yue Zhang
  • Yuping Wang

External verification based on ground-based data is commonly used to assess the accuracy of satellite products for total ozone. However, the spatial representativeness of ground-based observations at the pixel scale and the effects of the spatial mismatch between ground observations and satellite pixels are often overlooked. Therefore, this study focused on an Ozone Monitoring Instrument (OMI) and proposed a novel method to evaluate spatial representativeness using the total ozone product itself without relying on higher spatial resolution imagery from other sensors. A Pixel-level Spatial Mismatch Index (PSMI) was developed to quantify the peaks and stable intervals of the spatial response to the relative deviation of total ozone observations. The analysis revealed that increased uncertainty at the pixel edges can cause significant relative deviation, with the peak deviation occurring within a range of 4–7 km near the pixel boundary. The position of the high precision interval in PSMI was found to be <–22.38 km or >10 km, with mean values of 3.70 % and standard deviations of 3.45 % for the relative deviation. This interval is spatially distance-independent and can be observed on both sides of the pixel boundary. These findings highlight the importance of considering spatial patterns between satellite pixels and ground stations for external validation. Furthermore, avoiding a spatial response peak of the relative deviation at the pixel edge is crucial. Overall, this research provides new perspectives and insights for the verification of total ozone products. By considering these factors mentioned above, future verification of total ozone products can be improved, leading to enhanced their evaluation systems.

Original languageEnglish
Article number103778
JournalInternational Journal of Applied Earth Observation and Geoinformation
Volume129
Number of pages12
ISSN1569-8432
DOIs
Publication statusPublished - 2024

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© 2024

    Research areas

  • High-precision interval, Pixel scale mismatch index, Spatial representativeness, Spatial response peak, Total ozone

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