First-time comparison between NO2 vertical columns from Geostationary Environmental Monitoring Spectrometer (GEMS) and Pandora measurements

IF 3.2 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
Serin Kim, Daewon Kim, H. Hong, L. Chang, Hanlim Lee, Deok-Rae Kim, Donghee Kim, Jeong-Ah Yu, Dong-Won Lee, U. Jeong, C. Song, Sang-Woo Kim, Sang-Seo Park, Jhoon Kim, T. Hanisco, Junsung Park, W. Choi, Kwangyul Lee
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引用次数: 2

Abstract

Abstract. The Geostationary Environmental Monitoring Spectrometer (GEMS) is a UV-visible (UV-Vis) spectrometer on board the GEO-KOMPSAT-2B (Geostationary Korea Multi-Purpose Satellite 2B) satellite launched into a geostationary orbit in February 2020. To evaluate the GEMS NO2 total column data, a comparison was carried out using the NO2 vertical column density (VCD) that measured direct sunlight using the Pandora spectrometer system at four sites in Seosan, South Korea, from November 2020 to January 2021. Correlation coefficients between GEMS and Pandora NO2 data at four sites ranged from 0.35 to 0.48, with root mean square errors (RMSEs) from 4.7×1015 to 5.5×1015 molec. cm−2 for a cloud fraction (CF) <0.7. Higher correlation coefficients of 0.62–0.78 with lower RMSEs from 3.3×1015 to 5.0×1015 molec. cm−2 were found with CF <0.3, indicating the higher sensitivity of GEMS to atmospheric NO2 in less cloudy conditions. Overall, the GEMS NO2 total column data tended to be lower than the Pandora data, owing to differences in the representative spatial coverage, with a large negative bias under high CF conditions. With a correction for horizontal representativeness in the Pandora measurement coverage, correlation coefficients ranging from 0.69 to 0.81, with RMSEs from 3.2×1015 to 4.9×1015 molec. cm−2, were achieved for CF <0.3, showing a better correlation with the correction than without the correction.
首次比较地球静止环境监测光谱仪(GEMS)和潘多拉测量的二氧化氮垂直柱
摘要地球静止环境监测光谱仪(GEMS)是在2020年2月发射到地球静止轨道的GEO-KOMPSAT-2B(地球同步韩国多用途卫星2B)卫星上搭载的紫外-可见(UV-Vis)光谱仪。为了评估GEMS NO2总柱数据,从2020年11月到2021年1月,在韩国Seosan的四个站点使用Pandora光谱仪系统测量直接阳光的NO2垂直柱密度(VCD)进行了比较。4个测点的GEMS与Pandora NO2数据的相关系数在0.35 ~ 0.48之间,均方根误差(rmse)在4.7×1015 ~ 5.5×1015之间。云分数(CF) <0.7时cm−2。在3.3×1015 ~ 5.0×1015分子范围内,相关系数为0.62 ~ 0.78,均方根误差较低。cm−2的CF <0.3,表明GEMS对大气NO2的敏感性在较少云量的条件下较高。总体而言,由于代表性空间覆盖率的差异,GEMS NO2总列数据倾向于低于Pandora数据,在高CF条件下存在较大的负偏倚。对Pandora测量覆盖的水平代表性进行校正后,相关系数为0.69 ~ 0.81,均方根误差为3.2×1015 ~ 4.9×1015 molec。cm−2,CF <0.3,显示出与校正比没有校正更好的相关性。
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来源期刊
Atmospheric Measurement Techniques
Atmospheric Measurement Techniques METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
7.10
自引率
18.40%
发文量
331
审稿时长
3 months
期刊介绍: Atmospheric Measurement Techniques (AMT) is an international scientific journal dedicated to the publication and discussion of advances in remote sensing, in-situ and laboratory measurement techniques for the constituents and properties of the Earth’s atmosphere. The main subject areas comprise the development, intercomparison and validation of measurement instruments and techniques of data processing and information retrieval for gases, aerosols, and clouds. The manuscript types considered for peer-reviewed publication are research articles, review articles, and commentaries.
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