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First 845 results for ” J.E. Nichol. G. de Leeuw”

1. Himawari-8 aerosol optical depth (AOD) retrieval using a deep neural network trained using AERONET observations

   Spectral aerosol optical depth (AOD) estimation from satellite-measured top of atmosphere (TOA) r...

   L She, H Zhang, Z Li, G de Leeuw, B Huang | Status: published | Journal: Remote Sensing | Volume: 12 | Year: 2020 | First page: 1 | Last page: 19 | doi: doi:10.3390/rs12244125

   Publication

2. Application of Gaussian Mixture Models for aerosol type analysis in China

   The relative contributions of different aerosol types to the total aerosol content were determine...

   Song, T., J. Wang, X. Yu, and G. de Leeuw | Journal: Atmospheric Research | Volume: 294 | Year: 2023 | First page: 106938 | doi: https://doi.org/10.1016/j.atmosres.2023.106938.

   Publication

3. A Study on Typhoon Center Localization Based on an Improved Spatio-Temporally Consistent Scale-Invariant Feature Transform and Brightness Temperature Perturbations.

   Extreme weather events like typhoons have become more frequent due to global climate change. Curr...

   Yan, C.; Guang, J.; Li, Z.; de Leeuw, G.; Chen, Z. | Journal: Remote Sens. 2024 | Volume: 16 | Year: 2024 | First page: 4070 | Last page: 24 pp. | doi: https://doi.org/10.3390/rs16214070

   Publication

4. A Review of City-Scale Methane Flux Inversion Based on Top-Down Methods

   As urbanization intensifies, the quantification of methane (CH4) emissions at city scales faces u...

   Li, X.; Zhang, Y.; de Leeuw, G.; Yao, X.; He, Z.; Wu, H.; Yang, Z. | Journal: . Remote Sens. | Volume: 17 | Year: 2025 | First page: 1 | Last page: 32 | doi: https://doi.org/10.3390/rs17183152.

   Publication

5. Heatwave attribution based on reliable operational weather forecasts

   The 2021 Pacific Northwest heatwave was so extreme as to challenge conventional statistical and c...

   Nicholas J Leach, Christopher D Roberts, Matthias Aengenheyster, Daniel Heathcote, Dann M Mitchell, Vikki Thompson, Tim Palmer, Antje Weisheimer, Myles R Allen | Journal: Nature Communications | Volume: 15 | Year: 2024 | doi: https://www.nature.com/articles/s41467-024-48280-7

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