SUMMARYThe schemes proposed in part I are tested using single-column data sets from tropical field experiments (GATE, BOMEX, ATEX) and an arctic air-mass transformation. Both the deep and shallow schemes perform well. The sensitivity of the schemes to adjustable parameters is also studied. Preliminary global forecasts show significant improvements in the global surface fluxes and mean tropical temperature tendency over the operational Kuo convection scheme.

Harnessing modern parallel computing resources to achieve complex multiphysics simulations is a daunting task. The Multiphysics Object Oriented Simulation Environment (MOOSE) aims to enable such development by providing simplified interfaces for specification of partial differential equations, boundary conditions, material properties, and all aspects of a simulation without the need to consider the parallel, adaptive, nonlinear, finite-element solve that is handled internally. Through the use of interfaces and inheritance, each portion of a simulation becomes reusable and composable in a manner that allows disparate research groups to share code and create an ecosystem of growing capability that lowers the barrier for the creation of multiphysics simulation codes. Included within the framework is a unique capability for building multiscale, multiphysics simulations through simultaneous execution of multiple sub-applications with data transfers between the scales. Other capabilities include automatic differentiation, scaling to a large number of processors, hybrid parallelism, and mesh adaptivity. To date, MOOSE-based applications have been created in areas of science and engineering such as nuclear physics, geothermal science, magneto-hydrodynamics, seismic events, compressible and incompressible fluid flow, microstructure evolution, and advanced manufacturing processes.

The 2016 presidential election was characterized by the remarkable expression of prejudice toward a range of groups. In two closely related studies ( N = 388; 196 supporting Trump, 192 Clinton), we measured (1) perceptions of social norms toward prejudice or (2) people’s own levels of prejudice toward 19 social groups, shortly before and after the election. Some groups were targeted by the Trump campaign (e.g., Muslims, immigrants) and some were not (e.g., atheists, alcoholics). Participants saw an increase in the acceptability of prejudice toward groups Trump targeted but little shift in untargeted groups. By contrast, participants reported a personal drop in Trump-targeted prejudice, probably due changing comparison standards, with no change in prejudice toward untargeted groups. The 2016 election seems to have ushered in a normative climate that favored expression of several prejudices; this shift may have played a role in the substantial increase in bias-related incidents that follow closely upon the election.

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Interpreting a failure to replicate is complicated by the fact that the failure could be due to the original finding being a false positive, unrecognized moderating influences between the original and replication procedures, or faulty implementation of the procedures in the replication. One strategy to maximize replication quality is involving the original authors in study design. We (N = 21 Labs and N = 2,220 participants) experimentally tested whether original author involvement improved replicability of a classic finding from Terror Management Theory (Greenberg et al., 1994). Our results were non-diagnostic of whether original author involvement improves replicability because we were unable to replicate the finding under any conditions. This suggests that the original finding was either a false positive or the conditions necessary to obtain it are not yet understood or no longer exist. Data, materials, analysis code, preregistration, and supplementary documents can be found on the OSF page: https://osf.io/8ccnw/

Interpreting a failure to replicate is complicated by the fact that the failure could be due to the original finding being a false positive, unrecognized moderating influences between the original and replication procedures, or faulty implementation of the procedures in the replication. One strategy to maximize replication quality is involving the original authors in study design. We (N = 17 Labs and N = 1,550 participants, after exclusions) experimentally tested whether original author involvement improved replicability of a classic finding from Terror Management Theory (Greenberg et al., 1994). Our results were non-diagnostic of whether original author involvement improves replicability because we were unable to replicate the finding under any conditions. This suggests that the original finding was either a false positive or the conditions necessary to obtain it are not fully understood or no longer exist. Data, materials, analysis code, preregistration, and supplementary documents can be found on the OSF page: https://osf.io/8ccnw/

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