JpGU-AGU Joint Meeting 2020

講演情報

[E] ポスター発表

セッション記号 A (大気水圏科学) » A-AS 大気科学・気象学・大気環境

[A-AS07] 大気化学

コンビーナ:齋藤 尚子(千葉大学環境リモートセンシング研究センター)、中山 智喜(長崎大学 大学院水産・環境科学総合研究科)、豊田 栄(東京工業大学物質理工学院)、内田 里沙(一般財団法人 日本自動車研究所)

[AAS07-P17] 4方位角MAXDOASとの比較によるTROPOMI対流圏NO₂カラム濃度データの検証

*齊藤 輝1入江 仁士1 (1.千葉大学)

キーワード:大気、衛星観測、二酸化窒素

TROPOspheric Monitoring Instrument (TROPOMI) aboard the Sentinel-5 Precursor satellite has an unprecedented fine horizontal resolution of 7 km×3.5 km (at nadir) for tropospheric nitrogen dioxide (NO2) column observations and is expected to improve estimation of emissions, including localized kilometer-scale emissions. However, previous studies reported that underestimation could occur in tropospheric NO2 column data from satellite observations, although its causes are still under discussion. The present study attempts to validate TROPOMI tropospheric NO2 column data to confirm that the underestimate occurs and clarify the causes. For this purpose, we used ground-based 4-different-azimuth-viewing Multi-Axis Differential Optical Absorption Spectroscopy (4AZ-MAXDOAS) installed at Chiba, Japan (35.63ºN, 140.10ºE, 21 m asl). The 4AZ-MAXDOAS observed tropospheric NO2 simultaneously in 4 different azimuth directions, enabling the evaluation of spatial inhomogeneity of NO2, which has been considered to be the major cause of the underestimate. From 4AZ-MAXDOAS data, we found that differences in tropospheric NO2 column data among 4 different azimuth directions reached up to 40%, indicating the existence of significant horizontal spatial inhomogeneity in NO2 around the observation site. Then, we compared 4AZ-MAXDOAS data with coincident TROPOMI data. TROPOMI data showed an underestimation by up to about 50% compared to 4AZ-MAXDOAS data, confirming the underestimate in TROPOMI data. However, the correlation was not clear between the magnitude of the underestimate and the coefficient of variance in 4-azimuth data from 4AZ-MAXDOAS observations. This suggests that the observed underestimate cannot be explained only by the effect of the NO2 spatial inhomogeneity. Instead, the underestimate should be attributed more significantly to the assumption made in the air mass factor calculation.