Abstract. In this paper, we describe the PALM model system 6.0. PALM (formerly an abbreviation for Parallelized Large-eddy Simulation Model and now an independent name) is a Fortran-based code and has been applied for studying a variety of atmospheric and oceanic boundary layers for about 20 years. The model is optimized for use on massively parallel computer architectures. This is a follow-up paper to the PALM 4.0 model description in Maronga et al. (2015). During the last years, PALM has been significantly improved and now offers a variety of new components. In particular, much effort was made to enhance the model with components needed for applications in urban environments, like fully interactive land surface and radiation schemes, chemistry, and an indoor model. This paper serves as an overview paper of the PALM 6.0 model system and we describe its current model core. The individual components for urban applications, case studies, validation runs, and issues with suitable input data are presented and discussed in a series of companion papers in this special issue.

Abstract. In this paper we describe the PALM model system 6.0. PALM is a Fortran based code and has been applied for studying a variety of atmospheric and oceanic boundary layers for about 20 years. The model is optimized for use on massively parallel computer architectures. This is a follow-up paper to the PALM 4.0 model description in Maronga et al. (2015). During the last years, PALM has been significantly improved and now offers a variety of new components. In particular, much effort was made to enhance the model by components needed for applications in urban environments, like fully interactive land surface and radiation schemes, chemistry, and an indoor model. This paper serves as an overview paper of the PALM 6.0 model system and we describe its current model core. The individual components for urban applications, case studies, validation runs, and issues with suitable input data are presented and discussed in a series of companion papers in this special issue.

Fusion energy is often regarded as a long-term solution to the world's energy needs. However, even after solving the critical research challenges, engineering and materials science will still impose significant constraints on the characteristics of a fusion power plant. Meanwhile, the global energy grid must transition to low-carbon sources by 2050 to prevent the worst effects of climate change. We review three factors affecting fusion's future trajectory: (1) the significant drop in the price of renewable energy, (2) the intermittency of renewable sources and implications for future energy grids, and (3) the recent proposition of intermediate-level nuclear waste as a product of fusion. Within the scenario assumed by our premises, we find that while there remains a clear motivation to develop fusion power plants, this motivation is likely weakened by the time they become available. We also conclude that most current fusion reactor designs do not take these factors into account and, to increase market penetration, fusion research should consider relaxed nuclear waste design criteria, raw material availability constraints and load-following designs with pulsed operation.

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SummaryThe study was set up to examine how an induction programme can be designed to meet the needs and expectations of senior house oYcers (SHOs) beginning a new post in a hospital. A total of 63 SHOs, in five hospitals in the Anglia region, participated in standardised structured interviews up to 3 months after starting their post, by sorting a list of 38 possible induction topics in order of priority. Trainees' early induction needs were found to centre on day-one service activities, ie, information that enables them to undertake their service work eYciently and eVectively, is particularly valued and required early. Information related to clinical education and training is also valued, but many trainees prefer it to be provided after they have been in post for a week or two. Much induction information can also be eVectively conveyed in writing, with little or no need for additional formal presentation. We conclude that first-day induction programmes which strive to satisfy the range of trainee needs in one session fail to take account of the diVerent priorities that trainees attach to induction information. Trainees do not want all information at once. Information of prime concern to clinical tutors, namely education, training and generic skills, is generally favoured after a week or two. To ensure that trainees' hospital induction needs are met in an eYcient and eVective way, programmes must be flexible and timely, and supported by comprehensive written information.