TROPOMI NO(2)Tropospheric Column Data: Regridding to 1 km Grid-Resolution and Assessment of their Consistency with In Situ Surface Observations

doi:10.3390/rs12142212

	TROPOMI NO(2)Tropospheric Column Data: Regridding to 1 km Grid-Resolution and Assessment of their Consistency with In Situ Surface Observations
	Cersosimo, Angela; Serio, Carmine; Masiello, Guido
	2020-07
发表期刊	REMOTE SENSING
EISSN	2072-4292
摘要	This work presents a regridding procedure applied to the nitrogen dioxide (NO2) tropospheric column data, derived from the Copernicus Sentinel 5 Precursor Tropospheric Monitoring Instrument (S5P/TROPOMI). The regridding has been performed to provide a better comparison with punctual surface observations. It will be demonstrated that TROPOMI NO(2)tropospheric column data show improved consistency with in situ surface measurements once the satellite retrievals are scaled to 1 km spatial sampling. A geostatistical technique, i.e., the ordinary kriging, has been applied to improve the spatial distribution of Level 2 TROPOMI NO(2)data, which is originally sparse and uneven because of gaps introduced by clouds, to a final spatial, regular, sampling of 1 km x 1 km. The analysis has been performed for two study areas, one in the North and the other in the South of Italy, and for May 2018-April 2020, which also covers the period January 2020-April 2020 of COVID-19 diffusion over the Po Valley. The higher spatial sampling NO(2)dataset indicated as Level 3 data, allowed us to explore spatial and seasonal data variability, obtaining better information on NO(2)sources. In this respect, it will be shown that NO(2)concentrations in March 2020 have likely decreased as a consequence of the lockdown because of COVID-19, although the far warmest winter season ever recorded over Europe in 2020 has favored a general NO(2)decrease in comparison to the 2019 winter. Moreover, the comparison between NO(2)concentrations related to weekdays and weekend days allowed us to show the strong correlation of NO(2)emissions with traffic and industrial activities. To assess the quality and capability of TROPOMI NO(2)observations, we have studied their relationship and correlation with in situ NO(2)concentrations measured at air quality monitoring stations. We have found that the correlation increases when we pass from Level 2 to Level 3 data, showing the importance of regridding the satellite data. In particular, correlation coefficients of Level 3 data, which range between 0.50-0.90 have been found with higher correlation applying to urban, polluted locations and/or cities.
关键词	TROPOMI S5P nitrogen dioxide air quality ordinary kriging
DOI	10.3390/rs12142212
WOS关键词	FILTER PHYSICAL RETRIEVAL ; LAND-USE REGRESSION ; NITROGEN-DIOXIDE ; NO2 ; OZONE ; VALIDATION ; MISSION ; TEMPERATURE ; EMISSIVITY ; SCIAMACHY
WOS研究方向	Remote Sensing
WOS类目	Remote Sensing
出版者	MDPI
引用统计
文献类型	期刊论文
专题	新冠肺炎循证社会科学证据集成
作者单位	Univ Basilicata
推荐引用方式 GB/T 7714	Cersosimo, Angela,Serio, Carmine,Masiello, Guido. TROPOMI NO(2)Tropospheric Column Data: Regridding to 1 km Grid-Resolution and Assessment of their Consistency with In Situ Surface Observations[J]. REMOTE SENSING,2020.
APA	Cersosimo, Angela,Serio, Carmine,&Masiello, Guido.(2020).TROPOMI NO(2)Tropospheric Column Data: Regridding to 1 km Grid-Resolution and Assessment of their Consistency with In Situ Surface Observations.REMOTE SENSING.
MLA	Cersosimo, Angela,et al."TROPOMI NO(2)Tropospheric Column Data: Regridding to 1 km Grid-Resolution and Assessment of their Consistency with In Situ Surface Observations".REMOTE SENSING (2020).

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