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First 1315 results for ” 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

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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

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3. Interannual coupling between summertime surface temperature and precipitation: processes and implications for climate change

   Widespread negative correlations between summertime-mean temperatures and precipitation over land...

   A Berg, B Lintner, K Findell, S Seneviratne, B van den Hurk, A Ducharne, F Cheruy, S Hagemann, D Lawrence, S Malyshev, A Meier, P Gentine | Status: accepted | Journal: J. Climate | Year: 2014

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4. Interannual Coupling between Summertime Surface Temperature and Precipitation over Land: Processes and Implications for Climate Change
   A Berg, BR Lintner, K Findell, SI Seneviratne, BJJM van den Hurk, A Ducharne, F Chéruy, S Hagemann, DM Lawrence, S Malyshev, A Meier, P Gentine | Status: published | Journal: J. Climate | Year: 2015 | First page: 1308 | Last page: 1328 | doi: http://dx.doi.org/10.1175/JCLI-D-14-00324.1

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5. Land-atmosphere feedbacks amplify aridity increase over land under global warming

   The response of the terrestrial water cycle to global warming is central to issues including wate...

   Berg, Findell, Lintner, Giannini, Seneviratne, Hurk, Lorenz, Pitman, Hagemann, Meier, Cheruy, Ducharne, Malyshev, Milly | Status: published | Journal: Nature Climate Change | Year: 2016 | First page: 869 | Last page: 874 | doi: 10.1038/nclimate3029

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