1,6,7,5,8,- 1Department of Civil, Urban, Earth, and Environmental Engineering, Ulsan National Institute of Science & Technology (UNIST), Ulsan, Republic of Korea
- 2LATMOS/IPSL, Sorbonne Université, UVSQ, CNRS, Paris, France
- 3SPASCIA, Ramonville-Saint-Agne, France
- 4Spectroscopy, Quantum Chemistry and Atmospheric Remote Sensing (SQUARES), Université libre de Bruxelles (ULB), Brussels, Belgium
- 5Institute of Environmental Studies, Pusan National University, Busan, Republic of Korea
- 6Department of Atmospheric Sciences, Yonsei University, Seoul, Republic of Korea
- 7Department of Atmospheric Sciences, Kongju National University, Kongju, Republic of Korea
- 8School of Earth and Environmental Sciences, Seoul National University, Seoul, Republic of Korea
- 9Department of Environmental Science, Kangwon National University, Chuncheon, Republic of Korea
The choice of a priori ozone profile is a key factor in IASI ozone profile retrievals. In the operational FORLI algorithm, a single fixed a priori profile from the McPeters/Labow/Logan climatology (McPeters et al., 2007) is used globally (Hurtmans et al., 2012). Previous work has shown that a tropopause-based ozone profile climatology can provide a more appropriate constraint near the tropopause and improve retrieval performance (Bak et al., 2013). However, the use of dynamic-dependent priors complicates pixel-to-pixel global intercomparisons. Here, we quantify the sensitivity of IASI ozone profile retrievals to the a priori choice over East Asia, leveraging intensive ozonesonde observations in Korea. Using the research retrieval framework Atmosphit, we conduct controlled sensitivity experiments in which only the a priori ozone climatology is changed. We first reproduce the FORLI-type configuration by adopting the McPeters/Labow/Logan climatology within Atmosphit and then construct and apply an alternative tropopause-based (TB) ozone climatology following Bak et al. (2013). Retrieved profiles are evaluated against continuous ozonesonde profiles from Anmyeondo during Pre-ACCLIP (2021) and ACCLIP (2022). Compared with the fixed climatological prior, the TB a priori improves retrieval consistency in the UTLS. Improvements are also found for tropospheric ozone consistency and total column ozone (TCO). These results support the use of tropopause-based ozone climatologies to enhance IASI ozone profile retrieval quality and provide practical guidance for research retrieval configurations targeting UTLS processes.
Financial support
This work was funded by the Korea Meteorological Administration Research and Development Program under Grant (RS-2025-02219688).
References
1. Bak, J., Liu, X., Wei, J. C., Pan, L. L., Chance, K., & Kim, J. H. (2013). Improvement of OMI ozone profile retrievals in the upper troposphere and lower stratosphere by the use of a tropopause-based ozone profile climatology. Atmospheric Measurement Techniques, 6(9), 2239-2254. https://doi.org/10.5194/amt-6-2239-2013
2. Hurtmans, D., Coheur, P. F., Wespes, C., Clarisse, L., Scharf, O., Clerbaux, C., Hadji-Lazaro, J., George, M., & Turquety, S. (2012). FORLI radiative transfer and retrieval code for IASI. Journal of Quantitative Spectroscopy and Radiative Transfer, 113(11), 1391-1408. https://doi.org/https://doi.org/10.1016/j.jqsrt.2012.02.036
3. McPeters, R. D., Labow, G. J., & Logan, J. A. (2007). Ozone climatological profiles for satellite retrieval algorithms. Journal of Geophysical Research: Atmospheres, 112(D5). https://doi.org/https://doi.org/10.1029/2005JD006823
How to cite: Kim, C., Boynard, A., Clerbaux, C., Hurtmans, D., Coheur, P.-F., Kim, J., Koo, J.-H., Bak, J., Park, J.-H., Kwak, K.-H., and Park, S. S.: Improved IASI Ozone Profile Retrievals Using a Tropopause-Based Ozone Climatology, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15434, https://doi.org/10.5194/egusphere-egu26-15434, 2026.
