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First 1282 results for ” Sandstad”

  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. The impact of the COVID-19 pandemic on air pollution: A global assessment using machine learning techniques

    In response to the COVID-19 pandemic, most countries implemented public health ordinances that re...

    Jasper S. Wijnands, Kerry A. Nice, Sachith Seneviratne, Jason Thompson, Mark Stevenson | Journal: Atmospheric Pollution Research | Volume: 13 | Year: 2022 | doi: https://doi.org/10.1016/j.apr.2022.101438

    Publication

  3. Seamless enhancement of climate prediction over land by implementing sensitivity to vegetation variability in EC-Earth

    A Alessandri, F Catalano, M de Felice, F Doblas Reyes, BJJM van den Hurk, P Miller, S Boussetta, G Balsamo | Status: accepted | Journal: Clim. Dyn. | Year: 2015

    Publication

  4. Large-Eddy Simulations of EUCLIPSE-GASS Lagrangian Stratocumulus-to-Cumulus Transitions: Mean State, Turbulence, and Decoupling

    Results of four Lagrangian stratocumulus-to-shallow-cumulus transition cases as obtained from six...

    SR de Roode, I Sandu, JJ van der Dussen, AS Ackermann, P Blossey, D Jarecka, A Lock, AP Siebesma, B Stevens | Status: published | Journal: J. Atmos. Sci. | Volume: 73 | Year: 2016 | First page: 2485 | Last page: 2508 | doi: 10.1175/JAS-D-15-0215.1

    Publication

  5. Long-lead empirical forecasts of the Indian Summer Monsoon Rainfall based on causal precursors

    G Di Capua, M Kretschmer, J Runge, A Alessandri, R Donner, B van den Hurk, R Vellore, R Krishnan, D Coumou | Status: published | Journal: Weather and Forecasting | Year: 2019 | doi: https://doi.org/10.1175/WAF-D-19-0002.1

    Publication