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In-Flight, Full-Pixel Calibration of Reflectance in Spatial Dimension for Environmental Trace Gases Monitoring Instrument
Calibrating the top-of-atmospheric reflectance measurements of spaceborne hyperspectral atmospher...
Yang, T., Wang, P., Si, F., Zhou, H., Zhao, M., Luo, Y., Chang, Z | Journal: Geoscience and Remote Sensing Letters | Volume: 19 | Year: 2022 | doi: https://doi.org/10.1109/LGRS.2022.3194565
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Improved monitoring of shipping NO2 with TROPOMI: decreasing NOx emissions in European seas during the COVID-19 pandemic
TROPOMI (TROPOspheric Monitoring Instrument) measurements of tropospheric NO2 columns p...
Riess, T.C.V.W., Boersma, K.F., van Vliet, J., Peters, W., Sneep, M., Eskes, H. and van Geffen, J. | Journal: Atmospheric Measurement Techniques | Year: 2022 | doi: https://doi.org/10.5194/amt-15-1415-2022
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Who should measure air quality in modern cities? The example of decentralization of urban air quality monitoring in Krasnoyarsk (Siberia, Russia)
Researchers have warned that the paradigm about who should measure air quality (AQ) in cities can...
L. D. Labzovskii, J. D. Vande Hey, A. A. Romanov, P. Golovatina-Mora, D. Belikov, A. Lashkari, S. Takele Kenea, E. Hekman. Environmental Science and Policy | Journal: Environmental Science and Policy | Year: 2023 | doi: https://doi.org/10.1016/j.envsci.2022.11.016
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A research product for tropospheric NO2 columns from Geostationary Environment Monitoring Spectrometer based on Peking University OMI NO2 algorithm
Tropospheric vertical column densities (VCDs) of nitrogen dioxide (NO2) retrieved from sun-synchr...
Yuhang Zhang, Jintai Lin, Jhoon Kim, Hanlim Lee, Junsung Park, Hyunkee Hong, Michel Van Roozendael, Francois Hendrick, Ting Wang, Pucai Wang, Qin He, Kai Qin, Yongjoo Choi, Yugo Kanaya, Jin Xu, Pinhua Xie, Xin Tian, Sanbao Zhang, Shanshan Wang, Siyang Cheng, Xinghong Cheng, Jianzhong Ma, Thomas Wagner, Robert Spurr, Lulu Chen, Hao Kong, and Mengyao Liu | Journal: Atmospheric Measurement Technology | Volume: 16 | Year: 2023 | First page: 4643 | Last page: 4665 | doi: https://doi.org/10.5194/amt-16-4643-2023
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Hamiltonian Monte Carlo to Characterize Induced Earthquakes: Application to a ML 3.4 Event in the Groningen Gas Field and the Role of Prior
The Hamiltonian Monte Carlo algorithm is known to be highly efficient when sampling high-dimensio...
La Ode Marzujriban Masfara, Cornelis Weemstra | Journal: Earth and Space Science | Volume: 11 | Year: 2024 | doi: 10.1029/2023EA003184
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