고분해 태양 흡수분광간섭계를 이용한 온실기체 연직분포 산출 연구 - Part I: 이산화탄소

• Published in: 한국대기환경학회지(국문) Vol. 40; no. 3; pp. 349 - 360
• Main Authors: 김만해(Man-Hae Kim), 오영석(Young-Suk Oh), 안명환(Myoung-Hwan Ahn), 강민아(Mina Kang), 시호연(Hoyeon Shi), 박록진(Rokjin Park), 김민아(Mina Kim), 주상원(Sangwon Joo), 김상우(Sang-Woo Kim)
• Format: Journal Article
• Language: Korean
• Published: 한국대기환경학회 01.06.2024
• Subjects: 대기과학; Fourier Transform Spectrometer (FTS); Greenhouse gas; CO₂ profile; A priori profile
• ISSN: 1598-7132; 2383-5346
• DOI: 10.5572/KOSAE.2024.40.3.349

The Total Carbon Column Observing Network (TCCON) utilizes Fourier Transform Spectrometers (FTS) to provide the atmospheric column-average concentrations of greenhouse gases. While the retrieval process scales a priori gas profiles as input parameters, the FTS data itself enables the derivation of vertical profiles for these gases. This study focused on deriving and validating the vertical profile of carbon dioxide (CO2) from FTS measurements at TCCON’s Anmyeondo observation site. Accurate CO2 profiles require improving the precision of a priori profiles, as their vertical structure persists through the retrieval algorithm. To achieve this, a new a priori profile simulated by the Goddard Earth Observing System- Chemistry (GEOS-Chem) model was adopted instead of the standard TCCON-provided profiles. Although the GEOS-Chem a priori profile exhibited greater differences from the TCCON profile in the comparison with airborne observations, its overall vertical shape appeared more representative of actual conditions. When the GEOS-Chem a priori profiles were employed, the retrieved CO2 profiles achieved much better agreement with both surface in-situ measurements and airborne observations, particularly in the lowermost atmospheric layers near the ground. Notably, the discrepancy between the derived surface CO2 values and in-situ readings was significantly reduced to 6.4±8.7 ppm using the GEOS-Chem a priori profile, compared to 12.6±9.5 ppm with the standard TCCON a priori profile. This study highlights the importance of using representative a priori profiles to precisely retrieve greenhouse gas vertical distributions from ground-based remote sensing measurements. KCI Citation Count: 3