Japan Geoscience Union Meeting 2025

Presentation information

[J] Oral

A (Atmospheric and Hydrospheric Sciences ) » A-AS Atmospheric Sciences, Meteorology & Atmospheric Environment

[A-AS11] Atmospheric Chemistry

Sun. May 25, 2025 3:30 PM - 5:00 PM Exhibition Hall Special Setting (6) (Exhibition Hall 7&8, Makuhari Messe)

convener:Shinichi Enami(University of Tsukuba), Hitoshi Irie(Center for Environmental Remote Sensing, Chiba University), Shigeyuki Ishidoya(Advanced Industrial Science and Technology), Tomoki Nakayama(Graduate School of Fisheries and Environmental Sciences, Nagasaki University), Chairperson:Kohei Ikeda(National Institute for Environmental Studies)

3:45 PM - 4:00 PM

[AAS11-02] Characterization of Pandora direct-sun and sky-scan modes and evaluation of their use in validating satellite NO2 and HCHO retrievals

*Nguyen Doan Thien Chi1,2, Hiroshi Tanimoto1, Satoshi Inomata1, Tamaki Fujinawa1, Astrid Müller1, Takafumi Sugita1 (1.National Institute for Environmental Studies, Japan, 2.Graduate School of Environmental studies, Nagoya University, Japan)

Keywords:Japan Pandora Network, direct-sun mode, sky-scan mode, horizontal light path length, satellite validation

To ensure the accuracy and long-term stability, satellite data require extensive validations by a reference method. The Pandora instruments, ground-based spectrometers, are now widely used as a reliable source for the satellite validation of nitrogen dioxide (NO2), formaldehyde (HCHO), and other species. In this study, we explored the horizontal light path length (HLPL) of the Pandora direct-sun mode (DSM) and the sky-scan mode (SSM) for the validation of the TROPOspheric Monitoring Instrument (TROPOMI). Data from these types of observations at the Japan Pandora Network (JPN) sites were examined. Generally, the SSM aligns with the DSM for both NO2 and HCHO. The direct comparisons with TROPOMI showed a strong correlation in NO2 TropVCDs for both of the DSM (R = 0.70–0.91, slope = 0.25–0.78) and the SSM (R = 0.69–0.88, slope = 0.41–0.86). Those comparisons in HCHO are weaker. Furthermore, we also applied the HLPL as a criterion to compare TROPOMI with the two Pandora observation modes. The HLPL method probably unable to improve the agreement between TROPOMI and the DSM because the TROPOMI's resolution is coarser than that of HLPL. In contrast, for the TROPOMI and the SSM comparisons, we found that the application of the HLPL significantly improved the agreement. The SSM demonstrated validity comparable to that of the DSM for satellite validation. Our study revealed the importance of considering HLPL and viewing direction as coincidence criteria when using the Pandora instrument for satellite validation. The two Pandora observation modes and the HLPL approach may be employed in the validation efforts of NO2 and HCHO observations from upcoming satellite missions.