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Development of the KNMI Operational Data Center
KNMI provides weather, climate and seismological datasets to a varied group of customers. The num...
WJ Som de Cerff, F van der Wel, J van de Vegte, IA van der Neut, M van der Hoeven | Conference: 11th EC-GI&GIS Workshop, ESDI Setting the Framework | Organisation: Institute for Environment and Sustainability (IES) | Place: Alghero, Sardinia | First page: 38 | Last page: 41
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Development of a seismic site-response zonation map for the Netherlands
Earthquake site response is an essential part of seismic hazard assessment, especially in densely...
Janneke van Ginkel, Elmer Ruigrok, Jan Stafleu, Rien Herber | Journal: Natural Hazards and Earth System Sciences | Volume: 22 | Year: 2022 | First page: 41 | Last page: 63 | doi: https://doi.org/10.5194/nhess-22-41-2022
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Nitrogen and sulfur deposition on regional and global scales: a multimodel evaluation
We use 23 atmospheric chemistry transport models to calculate current and future (2030) depositio...
F Dentener, J Drevet, JF Lamarque, I Bey, B Eickhout, AM Fiore, D Hauglustaine, LW Horowitz, M Krol, UC Kulshrestha, M Lawrence, C Galy-Lacaux, S Rast, D Shindell, D Stevenson, T van Noije, C Atherton, N Bell, D Bergman, T Butler, J Cofala, B Collins, R Doherty, K Ellingsen, J Galloway, M Gauss, V Montanaro, JF Müller, G Pitari, J Rodriguez, M Sanderson, F Solmon, S Strahan, M Schultz, K Sudo, S Szopa, O Wild | Status: published | Journal: Global Biogeochem. Cycles | Volume: 20 | Year: 2006 | First page: GB4003 | doi: 10.1029/2005GB002672
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Analysis of global methane changes after the 1991 Pinatubo volcanic eruption
The global methane (CH4) growth rate showed large variations after the eruption of Mount Pinatubo...
N Bândă, M Krol, M van Weele, TPC van Noije, T Röckmann | Status: published | Journal: Atmos. Chem. Phys. | Volume: 13 | Year: 2013 | First page: 2267 | Last page: 2281 | doi: 10.5194/acp-13-2267-2013
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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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