[1] Chiusolo M, Cadum E, Stafoggia M et al. Short-term effects of nitrogen dioxide on mortality and susceptibility factors in 10 Italian cities: the EpiAir study[J]. Environmental Health Perspectives, 119, 1233-1238(2011).

[2] Qin Y, Zhao C S[M]. Fundamentals of atmospheric chemistry(2003).

[3] Zhang X Y, Zhang P, Fang Z Y et al. The progress in trace gas remote sensing study based on the satellite monitoring[J]. Meteorological Monthly, 33, 3-14(2007).

[4] Lin J T, McElroy M B. Detection from space of a reduction in anthropogenic emissions of nitrogen oxides during the Chinese economic downturn[J]. Atmospheric Chemistry and Physics, 11, 8171-8188(2011).

[5] Cooper M J, Martin R V, Hammer M S et al. Global fine-scale changes in ambient NO2 during COVID-19 lockdowns[J]. Nature, 601, 380-387(2022).

[6] Su J T, Zhang C X, Hu Q H et al. Analysis of spatial and temporal change trend of Xinjiang NO2 in 2007‒2017 based on satellite hyperspectral remote sensing[J]. Spectroscopy and Spectral Analysis, 41, 1631-1638(2021).

[7] Burrows J P, Weber M, Buchwitz M et al. The global ozone monitoring experiment (GOME): mission concept and first scientific results[J]. Journal of the Atmospheric Sciences, 56, 151-175(1999).

[8] Velders G J M, Granier C, Portmann R W et al. Global tropospheric NO2 column distributions: comparing three-dimensional model calculations with GOME measurements[J]. Journal of Geophysical Research: Atmospheres, 106, 12643-12660(2001).

[9] Bovensmann H, Burrows J P, Buchwitz M et al. SCIAMACHY: mission objectives and measurement modes[J]. Journal of the Atmospheric Sciences, 56, 127-150(1999).

[10] Schaub D, Brunner D, Boersma K F et al. SCIAMACHY tropospheric NO2 over Switzerland: estimates of NOx lifetimes and impact of the complex Alpine topography on the retrieval[J]. Atmospheric Chemistry and Physics, 7, 5971-5987(2007).

[11] Levelt P F, van den Oord G H J, Dobber M R et al. The ozone monitoring instrument[J]. IEEE Transactions on Geoscience and Remote Sensing, 44, 1093-1101(2006).

[12] Munro R, Lang R, Klaes D et al. The GOME-2 instrument on the Metop series of satellites: instrument design, calibration, and level 1 data processing-an overview[J]. Atmospheric Measurement Techniques Discussions, 8, 8645-8700(2015).

[13] Valks P, Pinardi G, Richter A et al. Operational total and tropospheric NO2 column retrieval for GOME-2[J]. Atmospheric Measurement Techniques, 4, 1491-1514(2011).

[14] Veefkind J P, Aben I, McMullan K et al. TROPOMI on the ESA Sentinel-5 Precursor: a GMES mission for global observations of the atmospheric composition for climate, air quality and ozone layer applications[J]. Remote Sensing of Environment, 120, 70-83(2012).

[15] Zhang C X, Liu C, Wang Y et al. Preflight evaluation of the performance of the Chinese environmental trace gas monitoring instrument (EMI) by spectral analyses of nitrogen dioxide[J]. IEEE Transactions on Geoscience and Remote Sensing, 56, 3323-3332(2018).

[16] Kim J, Jeong U, Ahn M H et al. New era of air quality monitoring from space: geostationary environment monitoring spectrometer (GEMS)[J]. Bulletin of the American Meteorological Society, 101, E1-E22(2020).

[17] Chu D, Guan X B, Shen H F. A variational method for reconstructing NDVI time series considering full time information[J]. Geography and Geo-Information Science, 39, 31-39(2023).

[18] Bai K X, Li K, Guo J P et al. Multiscale and multisource data fusion for full-coverage PM2.5 concentration mapping: can spatial pattern recognition come with modeling accuracy?[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 184, 31-44(2022).

[19] Yang J, Zhang Z Q, Wei C Y et al. Introducing the new generation of Chinese geostationary weather satellites, Fengyun-4[J]. Bulletin of the American Meteorological Society, 98, 1637-1658(2017).

[20] Zhang T H, Shen H F, Xia X H et al. Himawari-8 high temporal resolution AOD products recovery: nested Bayesian maximum entropy fusion blending GEO with SSO satellite observations[J]. IEEE Transactions on Geoscience and Remote Sensing, 61, 4101615(2023).

[21] Beckers J M, Rixen M. EOF calculations and data filling from incomplete oceanographic datasets[J]. Journal of Atmospheric and Oceanic Technology, 20, 1839-1856(2003).

[22] Alvera-Azcárate A, Barth A, Sirjacobs D et al. Enhancing temporal correlations in EOF expansions for the reconstruction of missing data using DINEOF[J]. Ocean Science, 5, 475-485(2009).

[23] Spurr R, Christi M. On the generation of atmospheric property Jacobians from the (V)LIDORT linearized radiative transfer models[J]. Journal of Quantitative Spectroscopy and Radiative Transfer, 142, 109-115(2014).

[24] Bucsela E J, Krotkov N A, Celarier E A et al. A new stratospheric and tropospheric NO2 retrieval algorithm for nadir-viewing satellite instruments: applications to OMI[J]. Atmospheric Measurement Techniques, 6, 2607-2626(2013).

[25] van Geffen J, Eskes H, Compernolle S et al. Sentinel-5P TROPOMI NO2 retrieval: impact of version v2.2 improvements and comparisons with OMI and ground-based data[J]. Atmospheric Measurement Techniques, 15, 2037-2060(2022).

[26] Verhoelst T, Compernolle S, Pinardi G et al. Ground-based validation of the Copernicus Sentinel-5P TROPOMI NO2 measurements with the NDACC ZSL-DOAS, MAX-DOAS and pandonia global networks[J]. Atmospheric Measurement Techniques, 14, 481-510(2021).

[27] Ialongo I, Virta H, Eskes H et al. Comparison of TROPOMI/Sentinel-5 Precursor NO2 observations with ground-based measurements in Helsinki[J]. Atmospheric Measurement Techniques, 13, 205-218(2020).

[28] Cheng L X, Tao J H, Yu C et al. Tropospheric NO2 column density retrieval from the GF-5 EMI data[J]. National Remote Sensing Bulletin, 25, 2313-2325(2021).

[29] Martínez-Alonso S, Veefkind J P, Dix B et al. S-5P/TROPOMI-derived NOx emissions from copper/cobalt mining and other industrial activities in the copperbelt (democratic republic of Congo and Zambia)[J]. Geophysical Research Letters, 50, GL104109(2023).

[30] Li X L, Cohen J B, Qin K et al. Remotely sensed and surface measurement- derived mass-conserving inversion of daily NOx emissions and inferred combustion technologies in energy-rich Northern China[J]. Atmospheric Chemistry and Physics, 23, 8001-8019(2023).

[31] Dong J D, Cai X B, Tian L Q et al. Satellite-based estimates of daily NO2 exposure in urban agglomerations of China and application to spatio-temporal characteristics of hotspots[J]. Atmospheric Environment, 293, 119453(2023).

[32] Dou K, Xie P H, Si F Q et al. Software design for MAX-DOAS monitoring system[J]. Journal of Atmospheric and Environmental Optics, 4, 387-392(2009).

[33] Zhu P C, Liu H R, Ji X G et al. Study on measurement of troposphereic NO2 in Beijing by MAX-DOAS[J]. Spectroscopy and Spectral Analysis, 41, 2153-2158(2021).

[34] Xu H, Liu H R, Ji X G et al. Study on the tropospheric column density of NO2 in Shanghai based on MAX-DOAS[J]. Spectroscopy and Spectral Analysis, 42, 2720-2725(2022).

[35] Pinardi G, van Roozendael M, Hendrick F et al. Validation of tropospheric NO2 column measurements of GOME-2A and OMI using MAX-DOAS and direct sun network observations[J]. Atmospheric Measurement Techniques, 13, 6141-6174(2020).

[36] Chan K L, Wang Z R, Ding A J et al. MAX-DOAS measurements of tropospheric NO2 and HCHO in Nanjing and a comparison to ozone monitoring instrument observations[J]. Atmospheric Chemistry and Physics, 19, 10051-10071(2019).

[37] Dimitropoulou E, Hendrick F, Pinardi G et al. Validation of TROPOMI tropospheric NO2 columns using dual-scan multi-axis differential optical absorption spectroscopy (MAX-DOAS) measurements in Uccle, Brussels[J]. Atmospheric Measurement Techniques, 13, 5165-5191(2020).

[38] Yang D S, Luo Y H, Zeng Y et al. Monitoring and comparative analysis of NO2 pollution in the troposphere in winter over Beijing based on MAX-DOAS and TROPOMI[J]. National Remote Sensing Bulletin, 27, 1680-1690(2023).

[39] Hilborn A, Costa M. Applications of DINEOF to satellite-derived chlorophyll-a from a productive coastal region[J]. Remote Sensing, 10, 1449(2018).

[40] Alvera-Azcárate A, Barth A, Parard G et al. Analysis of SMOS sea surface salinity data using DINEOF[J]. Remote Sensing of Environment, 180, 137-145(2016).

[41] Jiang Y T, Gao Z K, He J Y et al. Application and analysis of XCO2 data from OCO satellite using a synthetic DINEOF‒BME spatiotemporal interpolation framework[J]. Remote Sensing, 14, 4422(2022).

[42] Zhao J, Li J, Mu X H et al. Validation and analysis the fractional vegetation cover product from GF-1 satellite data in China[J]. National Remote Sensing Bulletin, 27, 689-699(2023).

[43] Rao L L. Estimating ground-level NO2 concentrations based on geographically and temporally weighted regression model[D](2017).

[44] Ma C, Ju T Z, Wang Q H et al. Spatiotemporal variations of tropospheric NO2 in Lanzhou for the period 2009‒2018 based on satellite remote sensing[J]. Atmospheric Pollution Research, 12, 206-216(2021).

[45] Wu S S, Huang B, Wang J H et al. Spatiotemporal mapping and assessment of daily ground NO2 concentrations in China using high-resolution TROPOMI retrievals[J]. Environmental Pollution, 273, 116456(2021).

[46] Chen S S, Shu J, Xu J Z. Tropospheric no2 pollution analysis of some typical cities in China[J]. Resources and Environment in the Yangtze Basin, 19, 1484-1490(2010).