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First 756 results for ” M George”

1. Increasing the spatial resolution of cloud property retrievals from Meteosat SEVIRI by use of its high-resolution visible channel: implementation and examples

   The modification of an existing cloud property retrieval scheme for the Spinning Enhanced Visibl...

   Hartwig Deneke, Carola Barrientos-Velasco, Sebastian Bley, Anja Hünerbein, Stephan Lenk, Andreas Macke, Jan Fokke Meirink, Marion Schroedter-Homscheidt, Fabian Senf, Ping Wang, Frank Werner, and Jonas Witthuhn | Journal: Atm. Meas. Tech. | Volume: 14 | Year: 2021 | First page: 5107 | Last page: 5126 | doi: doi:10.5194/amt-14-5107-2021

   Publication

2. Bayesian Sea Ice Detection Algorithm for CFOSAT

   This paper describes the adaptation of the Bayesian sea ice detection algorithm for the rotating ...

   Zhen Li, Anton Verhoef, Ad Stoffelen | Journal: Remote Sensing | Volume: 14(15) | Year: 2022 | First page: 3569 | doi: https://doi.org/10.3390/rs14153569

   Publication

3. An investigation of the representative heights for atmospheric motion vectors

   The objective of this study is to find out the reason for the biases which exist in the cloud hei...

   R. Dlhopolsky and A. Feijt | Year: 2003 | Pages: 32

   Publication

4. Modelling Antarctic ice shelf basal melt patterns using the one-layer Antarctic model for dynamical downscaling of ice–ocean exchanges (LADDIE v1.0)

   A major source of uncertainty in future sea level projections is the ocean-driven basal melt of A...

   Erwin Lambert, André Jüling, Roderik S. W. van de Wal, and Paul R. Holland | Journal: The Cryosphere | Volume: 17 | Year: 2023 | First page: 3203 | Last page: 3228 | doi: 10.5194/tc-17-3203-2023

   Publication

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

   Publication