Bioenergy with Carbon Capture and Storage (BECCS) : Finding the win–wins for energy, negative emissions and ecosystem services—size matters

Funding information Natural Environment Research Council, Grant/Award Number: NE/M019764/1 ACKNOWLEDGEMENTS This work was supported by the NERC-funded UK Energy Research Centre, by the NERC project Addressing the Valuation of Energy and Nature Together (ADVENT, NE/M019764/1) and by The University of California, Davis with CD the recipient of a NERC PhD studentship (1790094). It also contributed to the NERC FAB-GGR project (NE/M019691/1).Peer reviewedPublisher PD

Modern approach for integrating safety events in a risk management process

Safety events offer an apparent opportunity to learn about the operational reality and contribute to risk management. Intensive focus on events has also been criticized, as managing safety events does not seem to correlate with avoiding major accidents. The paper presents a new approach for integrating safety event data in the risk management process by introducing an event risk assessment method and a framework for so-called safety factors. Consequently, event data can be turned into risk data and aggregated presentations of cumulative risk can be created. Safety factors allow capturing negative and positive aspects of safety in line with safety-II principles. The methods are discussed both from the perspective of the underlying safety science and the practical constraints when one has to deal with a constant flow of events. Both methods produce immediate results but also integrate well in the overall risk management process

Can reanalyses represent extreme precipitation over England and Wales?

A new generation of reanalysis products is currently being produced that provides global gridded atmospheric data spanning more than a century. Such data may be useful for characterising the observed long-term variability of extreme precipitation events, particularly in regions where spatial coverage of surface observations is limited, and in the pre-satellite era. An analysis of extreme precipitation events is performed over England and Wales, investigating the ability of Twentieth Century Reanalysis and ERA-Interim to represent extreme precipitation accumulations as recorded in the England and Wales Precipitation dataset on accumulation time-scales from 1 to 7 days. Significant correlations are found between daily precipitation accumulation observations and both reanalysis products. A hit-rate analysis indicates that the reanalyses have hit rates (as defined by an event above the 98th percentile) of approximately 40–65% for extreme events in both summer (JJA) and winter (DJF). This suggests that both ERA-Interim and Twentieth Century Reanalysis are difficult to use for representing individual extreme precipitation events over England and Wales