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First 721 results for ” S MacDonell”

1. dispel4py: An agile framework for data-intensive escience

   We present dispel4py a versatile data-intensive kit presented as a standard Python library. It em...

   Rosa Filgueira, Alessandro Spinuso | Journal: IEEE 11th International Conference on e-Science | Year: 2015 | doi: https://doi.org/10.1109/eScience.2015.40

   Publication

2. Unravelling the Importance of Uncertainties in Global-Scale Coastal Flood Risk Assessments under Sea Level Rise

   Global scale assessments of coastal flood damage and adaptation costs under 21st century sea-lev...

   J Rohmer, D Lincke, J Hinkel, G Le Cozannet, E Lambert, AT Vafeidis | Status: published | Journal: Water | Volume: 6 | Year: 2021 | doi: 10.3390/w13060774

   Publication

3. Experiments with horizontal diffusion and advection in a nested fine mesh mesoscale model

   Recent is een hoge resolutie versie van het HIRLAM met en roosterpuntsafstand van 5.5 km op het K...

   EIF de Bruijn 1997 | Year: 1997 | Pages: 32

   Publication

4. Correcting Subseasonal Forecast Errors with an Explainable ANN to Understand Misrepresented Sources of Predictability of European Summer Temperatures

   Subseasonal forecasts are challenging for numerical weather prediction (NWP) and machine learning...

   Chiem van Straaten, Kirien Whan, Dim Coumou, Bart van den Hurk, and Maurice Schmeits | Journal: Artif. Intell. Earth Syst. | Volume: 2 | Year: 2023 | doi: https://doi.org/10.1175/AIES-D-22-0047.1

   Publication

5. Modeling and simulating spatial extremes by combining extreme value theory with generative adversarial networks

   Modeling dependencies between climate extremes is important for climate risk assessment, for inst...

   Y Boulaguiem, J Zschleischler, E Vignotto, K van der Wiel, S Engelke | Journal: Environmental Data Science | Volume: 1 | Year: 2022 | First page: e5 | doi: 10.1017/eds.2022.4

   Publication