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First 438 results for ” Scott J. Janz”

  1. Description of the KNMI operational waveforecast model GONO

    Description of the KNMI operational waveforecast model GONO

    J. Bruisma, P.A.E.M. Janssen, G.J. Komen, H.H. Peeck, M.J. Saraber, W.J.P. de Voogt | Year: 1980 | Pages: 80

    Publication

  2. Cloud top heights and aerosol layer properties from EarthCARE lidar observations: the A-CTH and A-ALD products

    The high-spectral-resolution Atmospheric Lidar (ATLID) on the Earth Cloud, Aerosol and Radiation ...

    Ulla Wandinger; Moritz Haarig; Holger Baars; David Donovan; Gerd-Jan van Zadelhoff | Journal: Atmospheric Measurement Techniques | Volume: 16 | Year: 2023 | First page: 4031 | Last page: 4052 | doi: 10.5194/amt-16-4031-2023

    Publication

  3. The generation of EarthCARE L1 test data sets using atmospheric model data sets

    The Earth Cloud, Aerosol and Radiation Explorer mission (EarthCARE) is a multi-instrument cloud–a...

    David P Donovan, Pavlos Kollias, Almudena Velázquez Blázquez, Gerd-Jan van Zadelhoff | Journal: Atmospheric Measurement Techniques | Volume: 16 | Year: 2023 | First page: 5327 | Last page: 5356 | doi: 10.5194/amt-16-5327-2023

    Publication

  4. Aeolus Rayleigh-channel winds in cloudy conditions

    Aeolus carried the first Doppler wind lidar to measure wind profiles from space. Aeolus was a Eur...

    Gert-Jan Marseille, Jos de Kloe, Alain Dabas, Thomas Flament, Michael Rennie | Journal: Quarterly Journal of the Royal Meteorological Society | Volume: 149 | Year: 2023 | First page: 3270 | Last page: 3289 | doi: https://doi.org/10.1002/qj.4555

    Publication

  5. Estimating Single-Epoch Integrated Atmospheric Refractivity from InSAR for Assimilation in Numerical Weather Models

    Numerical weather prediction (NWP) models are used to predict the weather based on current observ...

    Gert Mulder, Freek J. van Leijen, Jan Barkmeijer, Siebren de Haan, and Ramon F. Hanssen | Journal: IEEE Transactions on Geoscience and Remote Sensing | Volume: 60 | Year: 2022 | doi: 10.1109/TGRS.2022.3177041

    Publication