Open AccessComparison of Satellite-retrieved NO2 Vertical Column Density with Ground-level NO2 concentration in a provincial scale region
Author(s) -
Fang Zheng,
Yu Xia,
Qiang Ge,
Kun Cai
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/615/1/012123
Subject(s) - troposphere , environmental science , satellite , correlation coefficient , remote sensing , scale (ratio) , ground level , ozone monitoring instrument , meteorology , atmospheric sciences , geography , geology , mathematics , physics , cartography , statistics , ground floor , architectural engineering , astronomy , engineering
Satellite remote sensing will have certain errors in data retrieval accuracy, which requires further ground observation verification. This paper examines and verifies 2019 Jiangsu provincial Ground-level monitoring data and TROPOMI data to evaluate the applicability of TROPOMI tropospheric NO 2 Vertical Column Density (VCD) data and compares the results to OMI data analysis verification results. The results show that the correlation coefficient r between the TROPOMI NO 2 data and Ground-level monitoring data at the monthly mean scale is as high as 0.9, and consistent seasonal cyclic changes are observed. The correlation between Ground-level monitoring data and OMI NO 2 data is lower than TROPOMI (r=0.78 < 0.9). Compared to OMI satellites, the TROPOMI attains a smaller deviation in tropospheric NO 2 monitoring. Jiangsu Province had the highest monthly average concentration in January, which were 38.67 ug/m 3 (Ground-level), 17.35 × 10 15 molec/cm 2 (TROPOMI) and 20.04 × 10 15 molec/cm 2 (OMI). The lowest concentration in August was 13.39 ug/m 3 (Ground-level), 5.2 × 10 15 molec/cm 2 (TROPOMI) and 7.03 × 10 15 molec/cm 2 (OMI).