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First 158 results for ”R Macia”

  1. Using Explainable Machine Learning Forecasts to Discover Subseasonal Drivers of High Summer Temperatures in Western and Central Europe

    Reliable subseasonal forecasts of high summer temperatures would be very valuable for society. Al...

    Chiem van Straaten, Kirien Whan, Dim Coumou, Bart van den Hurk, and Maurice Schmeits | Journal: Monthly Weather Review | Volume: 150 | Year: 2022 | First page: 1115 | Last page: 1134 | doi: https://doi.org/10.1175/MWR-D-21-0201.1

    Publication

  2. Short-Term Forecasting of High-Impact Weather with Physics-Guided Machine Learning : Technical Report

    Extreme weather events such as heavy storms and heavy precipitation have a large impact on our so...

    C. A. Severijns & G. A. Pagani | Year: 2023 | Pages: 12

    Publication

  3. 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

  4. Support vector machine tropical wind speed retrieval in the presence of rain for Ku-band wind scatterometry

    Wind retrieval parameters, i.e. quality indicators and the two-dimensional variational ambiguity ...

    Xingou Xu, Ad Stoffelen | Journal: Atmospheric Measurement Techniques | Volume: 14 | Year: 2021 | doi: https://doi.org/10.5194/amt-14-7435-2021

    Publication

  5. Validation report of the MACC near-real time global atmospheric composition service. System evolution and performance statistics until November 2011

    The MACC II (Modelling Atmospheric Composition and Climate, www.gmes-atmosphere.eu) project is es...

    HJ Eskes, V Huijnen, A Wagner, M Schulz, K Lefever | Year: 2012

    Publication