High nitrate concentrations in ground water and surface water are a well-known but still widespread problem in most developed countries (Bouraoui & Grizzetti, 2011; Kohl et al., 1971; Rockström et al., 2009). These high concentrations pose a threat to our drinking water quality and the integrity of aquatic ecosystems

Recent meta-analyses (e.g. Barrick, Mount, & Judge, 2001) found openness to experience, a factor in the five-factor model of personality, to be uncorrelated with job performance. We argue that, among others, insignificant validity is due to the broad and heterogeneous nature of the construct. In line with our hypotheses, we found internal structure of openness to be multidimensional. Further analyses on subdimensional and facet level revealed large differences in criterion-and construct-related validity. It could be demonstrated that a subdimension labeled epistemic curiosity and, especially, the facet openness to ideas, which includes aspects like curiosity, flexibility, willingness to learn, and creativity, are highly relevant for work-related criteria and so far understudied in organizational research.

High nitrate concentrations in ground water and surface water are a well-known but still widespread problem in most developed countries (Bouraoui & Grizzetti, 2011;Kohl et al., 1971; Rockström et al., 2009). These high concentrations pose a threat to our drinking water quality and the integrity of aquatic ecosystems

Runoff events play an important role in nitrate export from catchments, but the variability of export patterns between events and catchments is high and the dominant drivers remain difficult to disentangle. Here, we rigorously asses if detailed knowledge on runoff event characteristics can help to explain this variability. To this end, we conducted a long‐term (1955–2018) event classification using hydro‐meteorological data, including rainfall characteristics, soil moisture and snowmelt, in six neighboring mesoscale catchments with contrasting land use. We related these event characteristics to nitrate export patterns from high‐frequency nitrate concentration monitoring (2013–2017) using concentration‐discharge (CQ) relationships. Our results show that low‐magnitude rainfall‐induced events with dry antecedent conditions exported lowest nitrate concentrations and loads but exhibited highly variable CQ relationships. We explain this by a low fraction of active flow paths, revealing the spatial heterogeneity of nitrate sources within the catchments and by an increased impact of biogeochemical retention processes. In contrast, high‐magnitude rainfall or snowmelt‐induced events exported highest nitrate concentrations and loads and converged to similar chemostatic export patterns across all catchments, without exhibiting source limitation. We explain these homogeneous export patterns by high catchment wetness that activated a high number of flow paths and by higher nitrate availability during high‐flow seasons. Long‐term hydro‐meteorological data indicated an increased number of events with dry antecedent conditions in summer and a decreased number of snow‐influenced events. These trends will likely continue and cause increased nitrate concentration variability during low‐flow seasons and changes in the timing of nitrate export peaks during high‐flow seasons.

High-frequency water quality measurements in streams and rivers have expanded in scope and sophistication during the last two decades. Existing technology allows in situ automated measurements of water quality constituents, including both solutes and particulates, at unprecedented frequencies from seconds to subdaily sampling intervals. This detailed chemical information can be combined with measurements of hydrological and biogeochemical processes, bringing new insights into the sources, transport pathways, and transformation processes of solutes and particulates in complex catchments and along the aquatic continuum. Here, we summarize established and emerging high-frequency water quality technologies, outline key high-frequency hydrochemical data sets, and review scientific advances in key focus areas enabled by the rapid development of high-frequency water quality measurements in streams and rivers. Finally, we discuss future directions and challenges for using high-frequency water quality measurements to bridge scientific and management gaps by promoting a holistic understanding of freshwater systems and catchment status, health, and function.