Search results

Verberg filters
Sort by
Types
Publication types
Publication year
t/m
Toon filters

First 1571 results for ” Sonia I. Seneviratne”

  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. Methods and Model Dependency of Extreme Event Attribution: The 2015 European Drought

    Science on the role of anthropogenic influence on extreme weather events, such as heatwaves or dr...

    M Hauser, L Gudmndsson, R Orth, A Jézéquel, K Haustein, R Vautard, GJ van Oldenborgh, L Wilcox, SI Seneviratne | Status: published | Journal: Earths Future | Volume: 5 | Year: 2017 | First page: 1034 | Last page: 1043 | doi: 10.1002/2017EF000612

    Publication

  4. Attributing and Projecting Heatwaves Is Hard: We Can Do Better

    It sounds straightforward. As the Earth warms due to the increased concentration of greenhouse ga...

    Geert Jan Van Oldenborgh, Michael F. Wehner, Robert Vautard, Friederike E. L. Otto, Sonia I. Seneviratne, Peter A. Stott, Gabriele C. Hegerl, Sjoukje Y. Philip, Sarah F. Kew | Journal: Earth's Future | Volume: 10 | Year: 2022 | First page: e2021EF002271 | doi: https://doi.org/10.1029/2021EF002271

    Publication

  5. Parameter Sensitivity in LSMs: An Analysis Using Stochastic Soil Moisture Models and ELDAS Soil Parameters

    Integration of simulated and observed states through data assimilation as well as model evaluatio...

    R Teuling, R Uijlenhoet, B van den Hurk, S Seneviratne | Status: published | Journal: J. Hydrometeor. | Volume: 10 | Year: 2009 | First page: 751 | Last page: 765 | doi: 10.1175/2008JHM1033.1

    Publication