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The paper is structured as follows: Sect. 2 presents the LISFLOOD-DG2 and FV1 formulations and the parallelisation strategies using OpenMP for multi-core CPU architectures and CUDA for Nvidia GPU architectures. Section 3 evaluates the DG2, FV1 and ACC solvers across three flood inundation test cases. The first two cases reproduce Environment Agency benchmark tests ( Néelz and Pender, 2013): the first case simulates a slowly propagating wave over a flat floodplain, measuring computational scalability on multi-core CPU and GPU architectures and comparing the spatial grid convergence of DG2, FV1 and ACC predictions; the second case simulates a rapidly propagating wave along a narrow valley with irregular topography, assessing the solver capabilities for modelling supercritical flow. The final case reproduces fluvial flooding over the 2500 km 2 Eden catchment in north-west England, caused by Storm Desmond in December 2015 ( Xia et al., 2019). This is the first assessment of a DG2 hydrodynamic model in simulating a real-world storm event at catchment scale, with overland flow driven entirely by spatially and temporally varying rainfall data. Concluding remarks are made in Sect. 4.

available at: https://data.gov.uk/dataset/0cbf2251-6eb2-4c4e-af7c-d318da9a58be/real-time-and-near-real-time-river-level-data (last access: 2 June 2021), Predicted hydrographs are obtained for the ACC, FV1-CPU, FV1-GPU, DG2-CPU and DG2-GPU solvers (Fig. 6). FV1-CPU and FV1-GPU solutions are identical and are named collectively as FV1 (similarly, DG2-CPU and DG2-GPU are named collectively as DG2).

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There are various specializations available for corporate financial analysts. Some financial analysts eventually focus on handling company investments, while others apply their skills exclusively to obtaining the necessary funding for growth projects. Bigger differences are found in velocity predictions, particularly at locations farther downstream at point 3 (Fig. 11f), point 4 (Fig. 11g) and point 7 (Fig. 11h). About 20% of financial analysts end up going into business for themselves, becoming private business consultants. FP&A is an Important Role with Major Opportunities The surveyed flood extent is well-predicted by all solvers. Predicted flood extents are largely insensitive to grid resolution, except for the region around Denton Holme gauging station on the river Caldew, which is protected by flood defence walls.

Additionally, at the time that model runs were performed, the optimised ACC solver did not yet support the rain-on-grid features used later in Sect. 3.3. 1DG2-GPU was also found to be more efficient than FV1-GPU and ACC: DG2-GPU delivered the same level of accuracy on 2–4 times coarser grids while remaining faster to run. To further improve efficiency and accuracy at coarse resolutions over large catchments, one future direction would be to port the sub-grid channel model – currently integrated with the CPU-optimised ACC solver – to GPU architectures. At the standard resolution of Δ x=5 m, FV1 predicts a wave front about 50 m ahead of ACC or DG2, and the FV1 solution is much smoother. In a large corporate financial analysis department, entry-level junior financial analysts work in small groups headed by a senior financial analyst. In the largest, multi-national firms, junior analysts are assigned to evaluate a single product line, or perhaps even a single product. For example, if you worked as a junior analyst at The Hershey Company (NYSE: HSY), you might be assigned to produce all the relevant reports and recommendations regarding just one candy bar.

The representation of these flood defences could be improved by adopting the recently developed LISFLOOD-FP levee module ( Wing et al., 2019; Shustikova et al., 2020) 3 or by implementing a spatially adaptive multi-resolution method that selectively refines the grid resolution around river channels and other fine-scale features ( Kesserwani and Sharifian, 2020). Similar to runtime measurements presented earlier in Sect. 3.1.3, the GPU solvers become more efficient on grids with a larger number of elements: in this test, DG2-GPU is 1.8 times faster than DG2-CPU at the standard resolution of Δ x=50 m, becoming 2.5 times faster at the finest resolution of Δ x=10 m; similarly, FV1-GPU is between 1.2 times and 5.1 times faster than FV1-CPU.A piecewise-planar treatment of the friction term is applied to all discharge coefficients prior to each time step, based on the split implicit friction scheme of Liang and Marche ( 2009). I have performed dozens of concerts and gone on tour with it! It is very robust, and it is also quite heavy. I use it only for the piano and it's perfect. I have since discovered the Kurzweil Micro set in, I recommend the passage for its highly realistic pianos ... and I pilot noon.

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