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First 179 results for ” P Zhai”

1. Neural Network AEROsol Retrieval for Geostationary Satellite (NNAeroG) Based on Temporal, Spatial and Spectral Measurements.

   Geostationary satellites observe the earth surface and atmosphere with a short repeat time, thus...

   Chen, X.; Zhao, L.; Zheng, F.; Li, J.; Li, L.; Ding, H.; Zhang, K.; Liu, S.; Li, D.; de Leeuw, G. | Journal: Remote Sensing | Volume: 14 | Year: 2022 | First page: 980 | doi: https://doi.org/10.3390/rs14040980

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2. Source contribution analysis of tropospheric NO2 based on two-dimensional MAX-DOAS measurements

   Ground-based two-dimensional (2D) Multi-Axis Differential Optical Absorption Spectroscopy (MAX-DO...

   Yang, T., F. Si, Y. Luo, K. Zhan, P. Wang, H. Zhou, M. Zhao and W. Liu | Journal: Atmospheric Environment | Year: 2019 | doi: https://doi.org/10.1016/j.atmosenv.2019.04.058

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3. Opposite effects of aerosols and meteorological parameters on warm clouds in two contrasting regions over eastern China

   The sensitivity (S) of cloud parameters to the influence of different aerosol and meteorological ...

   Liu, Y., Lin, T., Zhang, J., Wang, F., Huang, Y., Wu, X., Ye, H., Zhang, G., Cao, X., and de Leeuw, G. | Journal: Atmos. Chem. Phys., 24, 4651–4673, | Volume: 24 | Year: 2024 | First page: 4651 | Last page: 4673 | doi: https://doi.org/10.5194/acp-24-4651-2024

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4. An improved meteorological variables-based aerosol optical depth estimation method by combining a physical mechanism model with a two-stage model

   A two-stage model integrating a spatiotemporal linear mixed effect (STLME) and a geographic weig...

   Li, F., Shi, X., Wang, S., Wang, Z., de Leeuw, G., Li, Z., Li, L., Wang, W., Zhang, Y., Zhang, L. | Journal: Chemosphere | Volume: 363 | Year: 2024 | First page: 142820 | doi: https://doi.org/10.1016/j.chemosphere.2024.142820

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5. Satellite reveals a steep decline in China’s CO2 emissions in early 2022

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   Hui Li, Bo Zheng, Philippe Ciais, K. Folkert Boersma, T.C.V.W. Riess, Randall V. Martin, Gregoire Broguet, Ronald van der A, Haiyan Li, Chaopeng Hong, Yu Lei, Yawen Kong, Qiang Zhang, Kebin He | Journal: Science Advances | Volume: 9 | Year: 2023 | doi: 10.1126/sciadv.adg7429

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