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Integrity Review Report: Joint Retrieval of Ozone Profile in Near Space Based on the Atmospheric and Near Infrared Atmospheric Bands of O2 Airglow

Academic fraud report · Geng Detector

Summary

Verdict: No clear indicators of academic fraud were identified in this 2025 IEEE TGRS paper (DOI: 10.1109/TGRS.2025.3598100) by Weiwei He et al. The review found four areas of analysis: image reuse analysis was limited because only plain text was available, ruling out pixel-level comparison of figures; statistical and data logic appeared internally consistent, with a reported deviation of <1 ppmv versus SABER data and a linear correlation coefficient of 0.96 against MIPAS data, along with transparent acknowledgment of error increases at ~70 km (self-absorption) and above 90 km (reduced SNR); the timeline was coherent, using 2011 SCIAMACHY/ENVISAT observations prior to the satellite's loss of contact in 2012; and the methodology, including photochemical equations (5–8), onion-peeling inversion (equations13–15), and HITRAN-based spectral data, was described in detail. Limitations: no image-level verification was possible, and final adjudication requires peer review or institutional investigation.

Verdict

✅ No clear evidence of academic fraud was identified based on the text-level analysis available. Image-level verification was not possible due to the absence of high-resolution original figures.

Key findings

  • Image reuse analysis constrained: Only plain-text content (with some OCR artifacts) was available, preventing pixel-level comparison of figures such as radiation spectra or satellite remote-sensing plots. No judgment could be made regarding Western blot, microscopy, or spectral image duplication.
  • Data and statistics are internally consistent: Reported deviations of <1 ppmv against SABER data and a 0.96 linear correlation coefficient against MIPAS data align with typical remote-sensing inversion studies. The authors transparently discuss error growth due to self-absorption near 70 km and SNR degradation above 90 km.
  • Timeline and instrument usage are logically consistent: 2011 SCIAMACHY/ENVISAT observation dates (e.g., May 19, 2011; April 19, 2011) are consistent with the satellite's operational period before contact loss in April 2012. The 2025 publication date does not conflict with the use of historical remote-sensing data.
  • Methodology is detailed and rigorous: The paper provides photochemical kinetic equations (equations 5–8), the "onion peeling" inversion algorithm (equations 13–15), and uses the HITRAN database for spectral parameters, with no internal contradictions observed.
  • Evidence highlights

  • Abstract/Conclusion: "deviation of less than 1 part per million (ppm) by volume compared with the SABER data and a linear correlation coefficient of 0.96 compared with MIPAS data."
  • Section IV: explicit discussion of SNR decrease at high altitudes and self-absorption-induced error at low altitudes, indicating realistic reporting of imperfect data.
  • Observation dates cited: May 19, 2011; April 19, 2011, consistent with the ENVISAT mission timeline.
  • Section II: explicit reference to "the calculation of the jump probabilities was based on the HITRAN database."
  • Mathematical consistency between equations 5–8 (photochemistry) and 13–15 (onion-peeling inversion), with physical processes such as self-absorption correction described in matching context.
  • Notes

  • Confidence: moderate. Text-level checks passed; however, image-level integrity (manipulation, reuse) could not be assessed without access to original high-resolution figures.
  • DOI: 10.1109/TGRS.2025.3598100.
  • Suggested follow-up (optional): request open-source code or validation data links from the authors if peer-review disputes arise.
  • This report is AI-assisted and intended for academic discussion only; formal determinations require institutional investigation.

Tags

#academic-fraud#remote-sensing#image-manipulation#text-only-check#no-clear-evidence#ozone-profile-retrieval#SCIAMACHY#IEEE-TGRS

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