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First 3429 results for ”P Forster”

  1. The impact of Aeolus wind retrievals on ECMWF global weather forecasts

    Aeolus is the world’s first spaceborne Doppler Wind Lidar, providing profiles of horizontal line-...

    Michael P. Rennie, Lars Isaksen, Fabian Weiler, Jos de Kloe, Thomas Kanitz, Oliver Reitebuch. | Journal: Quarterly Journal of the Royal Meteorological Society | Volume: 147(740) | Year: 2021 | First page: 3555 | Last page: 3586 | doi: 10.1002/qj.4142

    Publication

  2. Development of a seismic site-response zonation map for the Netherlands

    Earthquake site response is an essential part of seismic hazard assessment, especially in densely...

    Janneke van Ginkel, Elmer Ruigrok, Jan Stafleu, Rien Herber | Journal: Natural Hazards and Earth System Sciences | Volume: 22 | Year: 2022 | First page: 41 | Last page: 63 | doi: https://doi.org/10.5194/nhess-22-41-2022

    Publication

  3. A generalized simulation capability for rotating- beam scatterometers

    Rotating-beam wind scatterometers exist in two types: rotating fan-beam and rotating pencil-beam...

    Zhen Li, Ad Stoffelen, Anton Verhoef | Journal: Atmos. Meas. Tech. | Volume: 12 | Year: 2019 | First page: 3573 | Last page: 3594 | doi: https://doi.org/10.5194/amt-12-3573-2019

    Publication

  4. Statistical Postprocessing of Wind Speed Forecasts Using Convolutional Neural Networks

    Current statistical postprocessing methods for probabilistic weather forecasting are not capable ...

    Veldkamp, S., Whan, K., Dirksen, S., and Schmeits, M. | Journal: Monthly Weather Review | Volume: 149 | Year: 2021 | First page: 1141 | Last page: 1152 | doi: 10.1175/MWR-D-20-0219.1

    Publication

  5. dispel4py: An agile framework for data-intensive escience

    We present dispel4py a versatile data-intensive kit presented as a standard Python library. It em...

    Rosa Filgueira, Alessandro Spinuso | Journal: IEEE 11th International Conference on e-Science | Year: 2015 | doi: https://doi.org/10.1109/eScience.2015.40

    Publication