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First 1119 results for ” JU Grooss”

  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. Description and evaluation of a secondary organic aerosol and new particle formation scheme within TM5-MP v1.2

    We have implemented and evaluated a secondary organic aerosol scheme within the chemistry transpo...

    T Bergman, R Makkonen, R Schrödner, E Swietlicki, VTJ Phillips, P Le Sager, T van Noije | Status: submitted | Journal: Geosci. Model Dev. | Volume: 15 | Year: 2022 | First page: 683 | Last page: 713 | doi: 10.5194/gmd-15-683-2022

    Publication

  3. Regionale verschillen in extreme neerslag

    Eind 2004 werd een nieuwe statistiek van extreme neerslaghoeveelheden voor duren van vier uur tot...

    TA Buishand, R Jilderda, JB Wijngaard | Year: 2009 | Pages: 47

    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