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First 5195 results for ” H.W. van den Brink and I.L. Wijnant”

1. Update van de statistiek van extreme zeewaterstand en wind op basis van meetgegevens en modelsimulaties

   Voor de beoordeling van de veiligheid van de primaire waterkeringen in Nederland die in 2023 van ...

   C.F. de Valk, H.W. van den Brink | Year: 2023 | Pages: 89

   Publication

2. Guidance on the use of meteorological time series constructed to match the KNMI’23 climate scenarios

   In the previously issued KNMI climate scenarios Klein Tank et al. (2014), time-series of weather ...

   H.W. van den Brink, C.F. de Valk | Year: 2023 | Pages: 35

   Publication

3. Improving precipitation nowcasting for high-intensity events using deep generative models with balanced loss and temperature data: A case study in the Netherlands

   Precipitation nowcasting is essential for weather-dependent decision-making, but it remains a cha...

   Charlotte Cambier van Nooten, Koert Schreurs, Jasper S. Wijnands, Hidde Leijnse, Maurice Schmeits, Kirien Whan, Yuliya Shapovalova | Journal: Artificial Intelligence for the Earth Systems | Volume: 2 | Year: 2023 | First page: 1 | Last page: 16 | doi: https://doi.org/10.1175/AIES-D-23-0017.1

   Publication

4. Windgegevens voor het berekenen van de geluidsbelasting door windturbines

   Sinds 2010 wordt de Europese dosismaat Lden gehanteerd voor de beoordeling van de geluidsbelastin...

   G.T. Geertsema, M.P. Scheele, H.W. van den Brink | Year: 2018 | Pages: 30

   Publication

5. Detecting Spatiotemporal Dynamics of Western European Heatwaves Using Deep Learning

   Heatwaves over western Europe are increasing faster than elsewhere, which recent studies have att...

   T. Happé, J. S. Wijnands, M. Á. Fernández-Torres, P. Scussolini, L. Muntjewerf, and D. Coumou | Journal: Artificial Intelligence for the Earth Systems | Volume: 3(4) | Year: 2024 | doi: https://doi.org/10.1175/AIES-D-23-0107.1

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