Aims This paper presents a H2020 project aimed at developing the world’s most advanced space weather forecasting tool, combining the MagnetoHydroDynamic (MHD) solar wind and Coronal Mass Ejection (CME) evolution modelling with Solar Energetic Particle (SEP) transport and acceleration model(s). The EUHFORIA 2.0 project will address the geoeffectiveness of impacts and mitigation to avoid (part of the) damage, including that of extreme events, related to solar eruptions, solar wind streams, and SEPs, with particular emphasis on its application to forecast Geomagnetically Induced Currents (GICs) and radiation on geospace. Methods We will apply innovative methods and state-of-the-art numerical techniques to extend the recent heliospheric solar wind and CME propagation model EUHFORIA with two integrated key facilities that are crucial for improving its predictive power and reliability, namely 1) data-driven flux-rope CME models, and 2) physics-based, self-consistent SEP models for the acceleration and transport of particles along and across the magnetic field lines. This involves the novel coupling of advanced space weather models. In addition, after validating the upgraded EUHFORIA/SEP model, it will be coupled to existing models for GICs and atmospheric radiation transport models. This will result in a reliable prediction tool for radiation hazards from SEP events, affecting astronauts, passengers and crew in high-flying aircraft, and the impact of space weather events on power grid infrastructure, telecommunication, and navigation satellites. Finally, this innovative tool will be integrated into both the Virtual Space Weather Modeling Centre (VSWMC, ESA) and the space weather forecasting procedures at the ESA SSCC in Uccle (Belgium), so that it will be available to the space weather community and effectively used for improved predictions and forecasts of the evolution of CME magnetic structures and their impact on Earth. Results The results of the first six months of the EU H2020 project are presented here. These concern alternative coronal models, the application of adaptive mesh refinement techniques in the heliospheric part of EUHFORIA, alternative flux-rope CME models, evaluation of data-assimilation based on Karman filtering for the solar wind modelling, and a feasibility study of the integration of SEP models.

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This article describes the psychometric properties and factor structure of the Working Alliance for Mandated Clients Inventory (WAMC-I). First, we explain how, in contrast to other European jurisdictions such as England and Wales, community supervision in Belgium remains a specific form of social work practice, which is referred to as “social work under judicial mandate” (Devos, 2009: 18). Just as in general social work practice, the professional relationship between practitioners and clients1 is considered to be of paramount importance in community supervision practice. To capture the essence of this professional relationship, we draw on the pan-theoretical concept of the Working Alliance (WA) (Bordin, 1979) and a theoretical adaptation of this concept for the field of community supervision (Menger, 2018). Building on this theoretical adaptation, an instrument to measure the WA was developed for the Dutch context of community supervision: the WAMC-I. The objective of the present study is to assess the psychometric properties and factor structure of the WAMC-I with a sample of justice assistants2 and clients in the Flemish Houses of Justice. This study offers an elaborated conceptualization and operationalization of the concept of the WA. Preliminary tests on the psychometric properties and factor structure of the WAMC-I show that three factors on the WAMC-I for professionals proved valid and reliable: trust, clarity of rules and regulations and reactance. However, tests on the WAMC-I for clients showed no factor solution. Based on the theoretical framework of the WA and scientific-methodological arguments we express our reservations about the use of the WAMC-I and offer suggestions for improvement.