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First 646 results for ”NJ Leach”

1. Self-supervision, remote sensing and abstraction: representation learning across 3 million locations

   Self-supervision based deep learning classification approaches have received considerable attenti...

   Sachith Seneviratne, Kerry A. Nice, Jasper S. Wijnands, Mark Stevenson, Jason Thompson | Journal: Digital Image Computing: Techniques and Applications (DICTA) | Year: 2022 | doi: https://doi.org/10.1109/DICTA52665.2021.9647061

   Publication

2. A study of the leakage of the Antarctic polar vortex in late austral winter and spring using isentropic and 3-D trajectories

   The permeability of the Antarctic polar vortex is investigated in late austral winter and spring ...

   M Öllers, PFJ van Velthoven, H Kelder, L Kamp | Status: published | Journal: J. Geophys. Res. | Volume: 107 | Year: 2002 | First page: 4328 | doi: 10.1029/2001JD001363

   Publication

3. A Study of the leakage of the Antarctic polar vortex in late austral winter and spring using isentropic and 3-D trajectories

   The permeability of the Antarctic polar vortex is investigated in late austral winter and spring ...

   MC Öllers, PFJ van Velthoven, HM Kelder, LPJ Kamp | Status: published | Journal: J. Geophys. Res. | Volume: 107 | Year: 2002 | First page: 4328 | doi: doi:10.1029/2001JD001363

   Publication

4. Meteorological conditions leading to extreme low variable renewable energy production and extreme high energy shortfall

   To mitigate climate change a renewable energy transition is needed. Existing power systems will n...

   K van der Wiel, LP Stoop, BRH van Zuijlen, R Blackport, MA van den Broeke, FM Selten | Status: published | Journal: Renewable and Sustainable Energy Reviews | Volume: 111 | Year: 2019 | First page: 261 | Last page: 275 | doi: 10.1016/j.rser.2019.04.065

   Publication

5. Comparing Area Probability Forecasts of (Extreme) Local Precipitation Using Parametric and Machine Learning Statistical Postprocessing Methods

   Probabilistic forecasts, which communicate forecast uncertainties, enable users to make better we...

   KRP Whan, MJ Schmeits | Status: published | Journal: Mon. Wea. Rev. | Volume: 146 | Year: 2018 | First page: 3651 | Last page: 3673 | doi: 10.1175/MWR-D-17-0290.1

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