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First 1386 results for ” Robo Ellen”

1. An AeroCom–AeroSat study: intercomparison of satellite AOD datasets for aerosol model evaluation

   To better understand and characterize current uncertainties in the important observational constr...

   N Schutgens, AM Sayer, A Heckel, C Hsu, H Jethva, G de Leeuw, Et al. | Status: published | Journal: Atm. Chem. Phys. | Volume: 20 | Year: 2020 | First page: 12431 | Last page: 12457 | doi: https://doi.org/10.5194/acp-20-12431-2020

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2. Quantifying the single-scattering albedo for the January 2017 Chile wildfires from simulations of the OMI absorbing aerosol index

   The absorbing aerosol index (AAI) is a qualitative parameter directly calculated from satellite-m...

   J Sun, JP Veefkind, PFJ van Velthoven, PF Levelt | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 11 | Year: 2018 | First page: 5261 | Last page: 5277 | doi: 10.5194/amt-11-5261-2018

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3. AEROCOM and AEROSAT AAOD and SSA study – Part 1: Evaluation and intercomparison of satellite measurements

   Global measurements of absorbing aerosol optical depth (AAOD) are scarce and mostly provided by t...

   Nick Schutgens, Oleg Dubovik, Otto Hasekamp, Omar Torres, Hiren Jethva, Peter J. T. Leonard, Pavel Litvinov, Jens Redemann, Yohei Shinozuka, Gerrit de Leeuw, Stefan Kinne, Thomas Popp, Michael Schulz, and Philip Stier | Journal: Atmospheric Chemistry and Physics | Volume: 21 | Year: 2021 | First page: 6895 | doi: https://doi.org/10.5194/acp-21-6895-2021

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4. 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.

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5. FY-4A/AGRI Aerosol Optical Depth Retrieval Capability Test and Validation Based on NNAeroG

   The Advanced Geostationary Radiation Imager (AGRI) is one of the main imaging sensors on the Feng...

   Ding, H., L. Zhao, S. Liu, X. Chen, G. de Leeuw, F. Wang, F. Zheng, Y. Zhang, J. Liu, J. Li, L. She, Y. Si, X. Gu. | Journal: Remote Sensing | Volume: 14 | Year: 2022 | First page: 5591 | doi: https://doi.org/10.3390/rs14215591

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