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First 3498 results for ” A.; Vandenbussche”

1. Crowdsourcing urban air temperatures through smartphone battery temperatures in São Paulo, Brazil

   Crowdsourcing as a method to obtain and apply vast datasets is rapidly becoming prominent in mete...

   Droste, Pape, Overeem, Leijnse, Steeneveld, Delden, Uijlenhoet | Status: published | Journal: J. Atm. Oceanic Technol. | Volume: 34 | Year: 2017 | First page: 1853 | Last page: 1866 | doi: 10.1175/JTECH-D-16-0150.1

   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. Attribution of the Arctic ozone column deficit in March 2011
   LSA Isaksen, C Zerefos, WC Wang, D Balis, K Eleftheratos, B Rognerud, F Stordal, TK Berntsen, JH LaCasce, D Olivié, YI Orsolini, I Zyrichidou, M Prather, ONE Tuinder | Status: published | Journal: Geophys. Res. Lett. | Volume: 39 | Year: 2012 | doi: doi:10.1029/2012GL053876.

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4. Effects of clouds on the UV Absorbing Aerosol Index from TROPOMI

   The ultraviolet (UV) Absorbing Aerosol Index (AAI) is widely used as an indicator for the presenc...

   ML Kooreman, P Stammes, VJH Trees, MC Sneep, LG Tilstra, M de Graaf, DC Stein Zweers, P Wang, ONE Tuinder, JP Veefkind | Status: published | Journal: Atmospheric Measurement Techniques | Volume: 13 | Year: 2020 | First page: 6407 | Last page: 6426 | doi: 10.5194/amt-13-6407-2020

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5. Implications of the KNMI'14 climate scenarios for the discharge of the Rhine and Meuse; comparison with earlier scenario studies

   In this assessment we investigate potential changes in discharge for the rivers Meuse and Rhine d...

   F Sperna Weiland, M Hegnauer, L Bouaziz, JJ Beersma | Year: 2015

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