Jason Holt's research while affiliated with National Oceanography Centre and other places

Citations

... A gap seems to exist, however, for aquaculture zones (addressed by Eulerian models), as no FSMs have been specifically developed to feed into the complex biogeochemical models used in operational oceanography. 220 Complex models such as ERSEM 221 and BFM 222 seem to be required to assess potential interactions of multiple farms with coastal biogeochemical processes and lower trophic levels, which is a key step for estimating the nutrient-related ecological carrying capacity of a marine area prioritised for aquaculture. This type of approach was satisfactorily applied in studies that used modified biogeochemical models and quantified fish-farm effluents (e.g. ...
... However, if the model was run as a projection, different phytoplankton forcing sources would need to be incorporated past the present day. In this case, NEUSv2 would have to be coupled to a comparable regional biogeochemical model projection (Drenkard et al., 2021). ...
... Further investigation is needed to quantify the importance of the lenses in the transformation of the AW along the Arctic inflow pathway. The region north and west of Svalbard is a hotspot for shelf-slope exchanges (Luneva et al., 2020). ...
... Future shelf sea scenarios indicate prolonged, earlier onset of stratification and stronger thermocline stability (Lowe et al., 2009;Meire et al., 2013;Sharples et al., 2013), all of which affects BML ventilation and O 2 dynamics (Wakelin et al., 2020). However, despite the prominence of gathering O 2 data in order to assess the health of shelf seas, these measurements are either seasonally or spatially limited (Große et al., 2016). ...
... However, while machine learning research has been used to examine individual extreme events (e.g. Grazzini et al., 2019;Bruneau et al., 2020;Chattopadhyay et al., 2020), work on compound extremes is still in its infancy. At the time of writing this article, there were hardly any published studies harnessing machine learning or deep learning to better understand compound hydrometeorological extremes. ...
... For the purposes of this review, the summary paper of Blackford et al. (2020) is perhaps the most useful. This paper assembles 86 individual model predictions of the spread of high-CO 2 water in the North Sea, and produces simple regressions of the area of seabed, and volume of seawater, impacted for various continuous release rates and under various conditions. ...
... e method uses a Bayesian probability model to obtain data and information from the structural health monitoring system to predict the probability of extreme values generation. is bridge health monitoring system has been applied to bridges in Wisconsin with good results. A method for adaptive identification of truss structures based on the Lyapunov method is proposed in the literature [4]. ...
... Though our work shows promise in using surfers and other recreational platforms for coastal monitoring, it must be acknowledged that this comprises only a small portion of a potential wide-ranging coastal monitoring observatory. Our best picture of how the coastal ocean is changing will be found by integrating these datasets with other platforms, including ocean robotics (e.g., Argo floats, underwater gliders, and unmanned surface vehicles), the next generation of coastal buoys and drifters, ship-based autonomy, and remote sensing platforms (drones, aircraft and satellites), and with coupled physical and biogeochemical modelling [32,[130][131][132]. ...
... A full sensitivity review and physical validation of the model can be found in Luneva et al. (2019), where biases between the model setup and observations were <0.05°C at the surface and <−0.1°C across the whole model domain. Pycnocline depth exhibited a bias of 5 m deeper for the model compared to observations. ...
... It is sensitive to the North Atlantic Oscillation (e.g., Pätsch and Kühn, 2008), and changes in the wind regime may even cause a complete reversal of the general circulation on monthly time scales (Stanev et al., 2019). Using the Atlantic Margin Model at 7-km resolution AMM7, (Madec, 2008), Holt et al. (2018) applied a downscaling approach to make predictions of the North Sea circulation in the 21st century. They found that the circulation could be substantially weakened. ...