Evaluating the spatial representativeness of ground-based observations for satellite total ozone products
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Evaluating the spatial representativeness of ground-based observations for satellite total ozone products. / Lyu, Chunguang; Zhang, Wenmin; Zhang, Chi; Shi, Yunfei; Zhang, Yue; Wang, Yuping.
In: International Journal of Applied Earth Observation and Geoinformation, Vol. 129, 103778, 2024.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Evaluating the spatial representativeness of ground-based observations for satellite total ozone products
AU - Lyu, Chunguang
AU - Zhang, Wenmin
AU - Zhang, Chi
AU - Shi, Yunfei
AU - Zhang, Yue
AU - Wang, Yuping
N1 - Publisher Copyright: © 2024
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - High-precision interval
KW - Pixel scale mismatch index
KW - Spatial representativeness
KW - Spatial response peak
KW - Total ozone
U2 - 10.1016/j.jag.2024.103778
DO - 10.1016/j.jag.2024.103778
M3 - Journal article
AN - SCOPUS:85189032521
VL - 129
JO - International Journal of Applied Earth Observation and Geoinformation
JF - International Journal of Applied Earth Observation and Geoinformation
SN - 1569-8432
M1 - 103778
ER -
ID: 389595550