A5035531173- Coastal and Marine Dynamics
- Ocean Waves and Remote Sensing
- Oceanographic and Atmospheric Processes
- Coastal and Marine Management
- Coastal wetland ecosystem dynamics
- Climate variability and models
- Tropical and Extratropical Cyclones Research
- Meteorological Phenomena and Simulations
- Atmospheric and Environmental Gas Dynamics
- Oil Spill Detection and Mitigation
- Aeolian processes and effects
- Fluid Dynamics and Turbulent Flows
- Aquatic and Environmental Studies
- Aviation Industry Analysis and Trends
- Wind and Air Flow Studies
- Climate Change Policy and Economics
- demographic modeling and climate adaptation
- Arctic and Antarctic ice dynamics
- Advanced Sensor Technologies Research
- Marine and Offshore Engineering Studies
- Fluid Dynamics and Vibration Analysis
- Flow Measurement and Analysis
- Vehicle emissions and performance
- Air Traffic Management and Optimization
Met Office
2016-2025
European Organisation for the Exploitation of Meteorological Satellites
2023
Phillips Exeter Academy
2019
University of Plymouth
2012-2016
Abstract Climate change is resulting in global changes to sea level and wave climates, which many locations significantly increase the probability of erosion, flooding damage coastal infrastructure ecosystems. Therefore, there a pressing societal need be able forecast morphological evolution our coastlines over broad range timescales, spanning days-to-decades, facilitating more focused, appropriate cost-effective management interventions data-informed planning support development...
Abstract This review paper reports on the state-of-the-art concerning observations of surface winds, waves, and currents from space their use for scientific research subsequent applications. The development sea state parameters dates back to 1970s, with a significant increase in number diversity missions since 1990s. Sensors used monitor sea-state are mainly based microwave techniques. They either specifically designed or abilities provide opportunistic measurements complementary primary...
Abstract We are entering an exciting new era of data-driven weather prediction, where forecast models trained on historical data (including observations and reanalyses) offer alternative to directly solving the governing equations fluid dynamics. By capitalizing a vast amount available information – capturing their inherent patterns that not represented explicitly such machine learning-based techniques have potential increase accuracy, augmenting traditional physics-based equivalents. Here,...
The real-time provision of high-quality estimates the ocean wave parameters at appropriate spatial resolutions are essential for sustainable operations marine structures. Machine learning affords considerable opportunity providing additional value from sensor networks, fusing metocean data collected by various platforms. Exploiting ship-as-a-wave-buoy concept, this article proposes integration vessel-based observations into a wave-nowcasting framework. Surrogate models trained using...
Abstract Marine forecasts are essential to operational planning, with decisions able be guided by a host of different weather products spanning period days, weeks and even months ahead. The correct selection subsequent application these types has the potential save many thousands dollars per day in downtime, however this is only possible when science underpinning marine properly understood user. In current economic context, especially relevant offshore industry – whose use forecasting...
Accurate forecasts of coastal erosion are essential for the effective management (operation and protection) critical infrastructure such as gas terminals shallow-buried nearshore pipelines, preventing costly losses production associated with storm damage or exposure. Traditionally, these predictions were preserve computationally-expensive, morphodynamic simulations three-dimensional structure beach surface, however recent developments in reduced-complexity ‘equilibrium’ models have been...
The gaps and noise present in particle image velocimetry (PIV) tracking (PTV) measurements affect the accuracy of data collected. Existing algorithms developed for restoration such are only applicable to experimental collected under well-prepared laboratory conditions (i.e. where pattern velocity flow field is known), distribution, size type may be controlled by set-up. However, many cases, as PIV PTV arbitrarily turbid coastal waters, arrangement not possible. When or level these become too...
Abstract Machine learning techniques offer the potential to revolutionize provision of metocean forecasts critical safe and successful operation offshore infrastructure, leveraging asset-level accuracy point-based observations in conjunction with benefits extended coverage (both temporally spatially) numerical modelling satellite remote sensing data. Here, we adapt apply a promising framework – originally proposed by present authors for prediction wave conditions on European North West Shelf...
Abstract The cost and complexity of offshore operations, combined with the vulnerability equipment to prevailing conditions, requires weather-sensitive decisions be made ensure continued accessibility availability marine assets. In current economic context, this is especially important since robust (timely) identification calm weather windows has potential save many thousands dollars per day in unplanned downtime vessel contracting, allowing large efficiencies sequencing, mobilisation...
The role of turbulence is critical in the redistribution heat and salt throughout global ocean, boundary currents high-latitude oceans particular. In Arctic Ocean, warm, saline waters Atlantic origin, which are carried northwards by West Spitsbergen Current (WSC), largest source oceanic into Eurasian basin, may have a significant impact on rate sea ice decline. While rapid down-stream cooling WSC around its entry point Ocean well-known, processes this flux occurs still an area active...
Abstract The safe and successful operation of offshore infrastructure relies on a detailed awareness ocean wave conditions. Ongoing growth in wind energy is focused very large-scale projects, deployed ever more challenging environments. This inherently increases both cost complexity therefore the requirement for efficient operational planning. To support this, we propose new machine learning framework short-term forecasting conditions to critical decision-making associated with marine...
For many businesses, the weather is a strong driver of performance. Here, we introduce two assessment tools for organisations wanting to identify these links, so that they may subsequently be used predict future changes. By combining data collected by businesses with historical data, use set pre‐defined statistical analysis methods quantify their particular sensitivities. This fast and flexible, facilitate ease incorporation meteorological effects into corporate decision‐making process. The...
Abstract Laboratory measurements and numerical modeling at low Reynolds numbers ( R e θ <7700) indicate the energy‐containing turbulence of boundary layer flows comprises coherent packets hairpin vortices. Here direct in bottom coastal ocean higher = 266,150) show tidal also contain large vortices separated by periods more quiescent conditions. The 1452 recorded within a 20 min period are typically aligned along stream (∼8.0° from mean flow direction) inclined to horizontal (∼27.0°...
There is a growing need for more systematic, robust, and comprehensive information on the value-add of climate services from both demand supply sides. shortage published assessments that focus decision-making context, involve participatory or co-evaluation approaches, avoid over-simplification, address quantitative (e.g., economic) qualitative social) values services. The 12 case studies formed basis European Union-funded SECLI-FIRM project were co-designed by industrial research partners in...
Abstract Metocean forecast verification statistics (or ‘skill scores’), for variables such as significant wave height, are typically computed a means of assessing the (past) weather model performance over particular area interest. For developers, this information is important measurement improvement, while consumers commonly applied comparison/evaluation potential service providers. However, an opportunity missed by many also its considerable benefit to users in enhancing operational...
Abstract Accurate prediction of the frontal position and intensity Loop Current associated Eddies (LC/LCEs) in Gulf Mexico (GoM) is notoriously difficult, adversely impacting offshore planning workability. Here, we review operational forecasting practices propose a new, unifying, approach for holistic analysis oceanographic data, exploring potential establishing new general-purpose set GoM regimes objective classification its ‘state’ into 1 40 discrete regime definitions, as generated...
Abstract It is easy to look back at a past forecast and assess how well it performed relative the observed weather, but an obvious fact that such verification only possible after event has passed. Despite advances in skill predicting variables as wind speed or significant wave height, perennial problem for offshore industry users interested incisive application of metocean information effectively enhance their operational decision-making knowing much ‘trust’ place these data lead times...
Abstract An emergent consequence of climate change is its potential impacts on transatlantic flight routes and durations, with studies suggesting that future optimal paths will likely lead to decreased (increased) eastbound (westbound) journey times. However, these earlier works all rely a class planning algorithms (based the so‐called ‘shooting method’) are fundamentally different those typically used by aviation industry ‘network method’). To help resolve any ambiguities associated...