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First 1942 results for ” SB Power (Coordinating Lead Authors)”

1. Aerosol Absorption over Land Derived from the Ultra-Violet Aerosol Index by Deep Learning.

   Quantitative measurements of aerosol absorptive properties, e.g., the absorbing aerosol optical d...

   J. Sun, P. Veefkind, P. Van Velthoven, P. Levelt | Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | Volume: 14 | Year: 2021 | First page: 9692 | Last page: 9710 | doi: 10.1109/JSTARS.2021.3108669

   Publication

2. Deep Learning for Solar Irradiance Nowcasting: A Comparison of a Recurrent Neural Network and Two Traditional Methods

   This paper aims to improve short-term forecasting of clouds to accelerate the usability of solar ...

   Dennis Knol, Fons de Leeuw, Jan Fokke Meirink, Valeria V. Krzhizhanovskaya | Year: 2021

   Publication

3. 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

4. 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

5. 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