if they do not have scheme specific lump sum protection their maximum pension commencement lump sum will be the lower of Table 1Solver runtimes at grid spacings of Δ x=50 m, Δ x=20 m and Δ x=10 m. ACC, FV1-CPU and DG2-CPU solvers are run on a 16-core CPU; FV1-GPU and DG2-GPU solvers are run on a single GPU.

cannot start a new arrangement under a registered pension scheme other than to accept a transfer of existing pension rights, e.g. the buildings), while resolutions up to three levels coarser, i.e. 8 m, are selected over the pathways, and even coarser resolutions, between 16As for the realism of the sounds, those who have grown old in my opinion acoustic pianos, especially the first three because their sampling is not stereo and thus relative to Kurzweil who has only a few years younger it shows. For other sounds, even many years later, I still enjoyed the play and hear.

DG2-GPU flood maps at an improved resolution of Δ x=20 m are obtained at a runtime cost of 38 min, which is still competitive with ACC at Δ x=10 m (with a runtime cost of 30 min). selected on the non-uniform grids to those in the other case studies (Sect. 3.1 to 3.4). It can be noted that the non-uniform grids in the other case Hence, gauging station coordinates must be adjusted to ensure model results are measured in the channel. Here, a simple approach is adopted to manually reposition each gauging station based on the finest-resolution DEM, with the amended positions given in Table 2. 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. 1At point 1, ACC and DG2 velocity predictions agree closely with the majority of industrial models (Fig. 4.11 in Néelz and Pender, 2013). LISFLOOD-FV1 predicts faster velocities up to 0.5 ms −1, which is close to the prediction of TUFLOW FV1 ( Huxley et al., 2017, Table 11). a scheme administrator must tell HMRC that the member has used their fixed protection using the event report submitted annually to HMRC. This is a ‘reportable event 6’. PTM161400 explains what needs to be reported to HMRC.

After 3 h, the flood water has filled most of the valley and the wave front has almost reached point 5. As shown in Fig. 12i–l, ACC, FV1 and DG2 water depth predictions are in close agreement. The flow is now predominantly subcritical (Fig. 12m–p), although a small region of supercritical flow is found upstream of point 3 with a maximum Froude number of about 1.2 and a corresponding jump in water depth at the same location. Nevertheless, numerical instabilities in the ACC prediction at t=15 min are no longer evident at t=3 h (Fig. 12m), and ACC predictions remain stable at all gauge points for the duration of the simulation (Fig. 11). E4M3 - it consists of 1 sign bit, 4 exponent bits and 3 bits of mantissa. It can store values up to +/-448 and nan. in north London, UK, which covers an area of 1180 km 2, shown in Fig. 8a. The available DEM has a relatively coarse resolution, of 20 m, involvingModel input data are prepared by upscaling the finest 5 m DEM to resolutions of Δ x=40, 20 and 10 m. Water Resour. Res., 48, W11506, https://doi.org/10.1029/2012WR012514, 2012a. a, b, c, d, e, f, g, h

Deprived Areas Fund – a means to increase the employment rate in those areas with the highest levels of worklessnessstudy area. As shown in Fig. 20a, the choice of ε = 10 - 4 leads to an overly refined grid, where over 50 % of the area is Application Maintenance and Support – a service under the DWP arrangements for sourcing IS/IT services To quantify the spatial convergence of the three solvers, water depth RMSEs are calculated at 12:00, 5 December, over the entire catchment (Table 4). Since water depth observations are unavailable, the FV1 prediction at Δ x=10 m is taken as the reference solution. At Δ x=40 m, DG2 and ACC RMSEs are almost identical, while the FV1 error is about 10 % larger. At Δ x=20 m, FV1 errors are again about 10 % larger than ACC, with the ACC solver converging more rapidly towards the FV1 reference solution than FV1 itself, despite ACC's simplified numerical formulation (Sect. 2.3). The spin-up phase ends and the analysis phase begins at 12:00, 4 December 2015, once the memory of the dry initial condition has disappeared and water depths and discharges in all river channels have reached a physically realistic initial state ( Xia et al., 2019). The simulation ends at 12:00, 8 December 2015, after a total of 5.5 simulated days.