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

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Dokumenter

  • Fulltext

    Forlagets udgivne version, 8,24 MB, PDF-dokument

  • 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.
OriginalsprogEngelsk
Artikelnummer103778
TidsskriftInternational Journal of Applied Earth Observation and Geoinformation
Vol/bind129
Antal sider12
ISSN1569-8432
DOI
StatusUdgivet - 2024

Bibliografisk note

Funding Information:
This project was supported by the National Natural Science Foundation of China (42171422, 41601555), the Shandong Provincial Natural Science Foundation (ZR2022MD071), and the National College Students’ Innovation and Entrepreneurship Training Program of China (202210452007). The authors would like to thank EARTHDATA (www.earthdata.nasa.gov) and WOUDC (woudc.org) for providing access to satellite and ground observation data, Lake-Watershed Science Data Center (lake.geodata.cn), National Earth System Science Data Center of China, as well as the Big Data Center of Linyi Geological Resources Environment, China for the technical support. The authors would also like to thank the anonymous reviewers for providing valuable comments and suggestions, Elsevier Author Services (webshop.elsevier.com) and LetPub (www.letpub.com) for its linguistic assistance during the preparation of this manuscript.

Funding Information:
This project was supported by the National Natural Science Foundation of China ( 42171422 , 41601555 ), the Shandong Province Natural Science Foundation , China ( ZR2022MD071 ), and the National College Students’ Innovation and Entrepreneurship Training Program of China (202210452007). The authors would like to thank EARTHDATA (www.earthdata.nasa.gov) and WOUDC (woudc.org) for providing access to satellite and ground observation data, Lake-Watershed Science Data Center, National Earth System Science Data Center, as well as the Big Data Center of the No. 7 Geological Team, Shandong Provincial Bureau of Geology and Mineral Resources for the technical support. The authors would also like to thank the anonymous reviewers for providing valuable comments and suggestions, Elsevier Author Services (webshop.elsevier.com) and LetPub (www.letpub.com) for its linguistic assistance during the preparation of this manuscript.

Publisher Copyright:
© 2024

ID: 389595550