Print Email Facebook Twitter Weather Forecasting Using GPU-Based Large-Eddy Simulations Title Weather Forecasting Using GPU-Based Large-Eddy Simulations Author Schalkwijk, J. Jonker, H.J.J. Siebesma, A.P. Van Meijgaard, E. Faculty Civil Engineering and Geosciences Department Geoscience and Remote Sensing Date 2015-06-25 Abstract Since the advent of computers midway through the twentieth century, computational resources have increased exponentially. It is likely they will continue to do so, especially when accounting for recent trends in multicore processors. History has shown that such an increase tends to directly lead to weather and climate models that readily exploit the extra resources, improving model quality and resolution. We show that Large-Eddy Simulation (LES) models that utilize modern, accelerated (e.g., by GPU or coprocessor), parallel hardware systems can now provide turbulence-resolving numerical weather forecasts over a region the size of the Netherlands at 100-m resolution. This approach has the potential to speed the development of turbulence-resolving numerical weather prediction models. To reference this document use: http://resolver.tudelft.nl/uuid:24260aa0-3e3e-4897-8699-eb1ffd39814a Publisher American Meteorological Society ISSN 0003-0007 Source https://doi.org/10.1175/BAMS-D-14-00114.1 Source Bulletin of the American Meteorological Society, 96, 2015 Part of collection Institutional Repository Document type journal article Rights (c) 2015 American Meteorological Society Files PDF Schalkwijk_Jonker_Siebesma.pdf 2.95 MB Close viewer /islandora/object/uuid:24260aa0-3e3e-4897-8699-eb1ffd39814a/datastream/OBJ/view