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First 1567 results for ”Arie Kattenberg”

  1. An effective parametrization of gust profiles during severe wind conditions

    A simple and effective parameterization for the profile of extreme wind gusts during severe wind ...

    HW van den Brink | Status: published | Journal: Environmental Research Communications | Volume: 2 | Year: 2019 | doi: 10.1088/2515-7620/ab5777

    Publication

  2. Historical changes and reasons for model differences in anthropogenic aerosol forcing in CMIP6

    The Radiative Forcing Model Intercomparison Project (RFMIP) allows estimates of effective radiati...

    S Fiedler, T van Noije, CJ Smith, O Boucher, J-L Dufresne, A Kirkevåg, D Olivié, R Pinto, T Reerink, A Sima, M Schulz | Journal: Geophys. Res. Lett. | Volume: 50 | Year: 2023 | First page: e2023GL104848 | doi: 10.1029/2023GL104848

    Publication

  3. 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

    Publication

  4. Towards Quantifying the Uncertainty in Estimating Observed Scaling Rates

    Short-duration precipitation extremes (PE) increase at a rate of around 7%/K explained by the Cla...

    Haider Ali  , Hayley J. Fowler , David Pritchard, Geert Lenderink , Stephen Blenkinsop, and Elizabeth Lewis | Journal: Geophysical Research Letters | Year: 2022 | doi: 10.1029/2022GL099138

    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