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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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Assimilation of GNSS reflectometry delay-Doppler maps with a two-dimensional variational analysis of global ocean surface winds
Direct remote-sensing observations (e.g., radar backscatter, radiometer brightness temperature, o...
Feixiong Huang, James L Garrison, S Mark Leidner, Giuseppe Grieco, Ad Stoffelen, Bachir Annane, Ross N Hoffman
| Journal: Quarterly Journal of the Royal Meteorological Society | Volume: 147 | Year: 2021 | doi: https://doi.org/10.1002/qj.4034
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Rainfall generator for the Rhine basin; multi-site generation of weather variables for the entire drainage area
This is the final report of a project on the development of a rainfall generator for the Rhine ba...
Rafal Wojcik, Jules Beersma, Adri Buishand | Year: 2000 | Pages: 38
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Simulating hydrological extremes for different warming levels–combining large scale climate ensembles with local observation based machine learning models
Climate change has a large influence on the occurrence of extreme hydrological events. However, r...
SM Hauswirth, K van der Wiel, MFP Bierkens, V Beijk, N Wanders | Journal: Frontiers in Water | Volume: 5 | Year: 2023 | First page: 11008108 | doi: 10.3389/frwa.2023.1108108
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TR 4.1 Review of current knowledge on infrasonic waves
The objective of this work package is the definition of the specifications of the ARISE advanced ...
M Bittner, N Brachet, P Campus, L Eliasson, LG Evers, T Farges, S Gibbons, T Kvaerna, J Lastovicka, A Le Pichon, E Marhetti, C Pilger, M Ripepe, T Sindelarova, PSM Smets | Year: 2012
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