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Part II (Physical parameterizations) shortly reviews the basic subgrid-scale physical processes and describes the corresponding parameterization schemes.

Good self-control has been linked to adaptive outcomes such as better health, cohesive personal relationships, success in the workplace and at school, and less susceptibility to crime and addictions. In contrast, self-control failure is linked to maladaptive outcomes. Understanding the mechanisms by which self-control predicts behavior may assist in promoting better regulation and outcomes. A popular approach to understanding self-control is the strength or resource depletion model. Self-control is conceptualized as a limited resource that becomes depleted after a period of exertion resulting in self-control failure. The model has typically been tested using a sequential task experimental paradigm, in which people completing an initial self-control task have reduced self-control capacity and poorer performance on a subsequent task, a state known as ego depletion. Although a metaanalysis of ego-depletion experiments found a medium-sized effect, subsequent meta-analyses have questioned the size and existence of the effect and identified instances of possible bias. The analyses served as a catalyst for the current Registered Replication Report of the ego-depletion effect. Multiple laboratories (k = 23, total N =2,141) conducted replications of a standardized ego-depletion protocol based on a sequential-task paradigm by Sripada et al. Meta-analysis of the studies revealed that the size of the ego-depletion effect was small with 95% confidence intervals (CIs) that encompassed zero (d = 0.04, 95% CI [−0.07, 0.15]. We discuss implications of the findings for the ego-depletion effect and the resource depletion model of self-control.

This part of the documentation reviews shortly the basic subgrid-scale physical processes and describes in detail the corresponding parameterization schemes.

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The Technical Reports are intended mainly for internal use within the COSMO group (COSMO = Consortium for Small Scale Modeling), but also to inform other groups on model changes and research activities. The purpose of the Technical Reports is 1. to document scientific research activities, 2. to document technical changes to the model system, 3. to give an overview on new components of the model system.

The Technical Reports are intended mainly for internal use within the COSMO group (COSMO = Consortium for Small Scale Modeling), but also to inform other groups on model changes and research activities. The purpose of the Technical Reports is 1. to document scientific research activities, 2. to document technical changes to the model system, 3. to give an overview on new components of the model system.

This paper describes a theoretical analysis and experimental investigation of difficulty related distraction by conflicting goal intentions in learning and problem solving with hypertext. Log files are used to capture hypertext navigation in the face of opportunities to implement competing goal intentions. We study how differences in task difficulty influence the volitional protection of the current goal intention. First attempts to integrate volitional processes of action control into cognitive architectures are presented.