We study land-water transitions of 24 small floating position-trackers that approximately mimic floating plastic litter. We describe how to automatically identify such transitions from recorded tracks, and we characterize our observations with respect to sea and wind conditions. The insights can be integrated in model simulations and used for the planning of beach cleanups. We released the trackers in the Wadden Sea, a shallow body of water that is strongly influenced by tides and wind.

Particle-tracking simulations compute how ocean currents transport material. However, initializing these simulations is often ad hoc. Here, we explore how two different strategies (releasing particles over space or over time) compare. Specifically, we compare the variability in particle trajectories to the variability of particles computed in a 50-member ensemble simulation. We find that releasing the particles over 20 weeks gives variability that is most like that in the ensemble.

Research institutes communicate scientific findings through press releases, which journalists use to write news articles. We examined how journalists use content from press releases about ocean plastic research. Our findings show that they closely follow the press releases story, primarily quoting involved scientists without seeking external perspectives. Causing the focus to stay on researchers, personalizing science rather than addressing the broader societal dimensions of plastic pollution.

We tracked the paths of novel, ultra-thin ocean drifters in the southern North Sea for over two months. By analysing their motion alongside environmental data, we identified how tides, wind, and waves each influence their movement. Using machine learning, we improved trajectory predictions, offering new insights into surface transport in coastal seas.

Many climate scientists intuitively fear their credibility decreases when they engage in advocacy. We find that the opposite is the case. By surveying almost 1,000 Dutch adults, we found that the credibility of a fictional climate scientists who wrote an article about the greening of gardens was higher when that text included advocacy statements, compared to when it was 'neutral'. This is because personalization increases the goodwill of readers for the academic who writes a text.