Satellite remote sensing of surface winds, waves, and currents: where are we now? D Hauser, S Abdalla, F Ardhuin, JR Bidlot, M Bourassa, D Cotton, ... Surveys in Geophysics 44 (5), 1357-1446, 2023 | 23 | 2023 |
Using weather pattern typology to identify calm weather windows for local marine operations E Steele, R Neal, R Dankers, N Fournier, K Mylne, P Newell, A Saulter, ... Offshore Technology Conference, 2018 | 12 | 2018 |
A physics-enabled flow restoration algorithm for sparse PIV and PTV measurements A Vlasenko, ECC Steele, WAM Nimmo-Smith Measurement Science and Technology 26 (6), 065301, 2015 | 12 | 2015 |
Making the most of probabilistic marine forecasts on timescales of days, weeks and months ahead E Steele, R Neal, C Bunney, B Evans, N Fournier, P Gill, K Mylne, ... Offshore Technology Conference, 2017 | 10 | 2017 |
Deriving spatial wave data from a network of buoys and ships REG Mounet, J Chen, UD Nielsen, AH Brodtkorb, AC Pillai, IGC Ashton, ... Ocean Engineering 281, 114892, 2023 | 8 | 2023 |
Shoreline modelling on timescales of days to decades E Hunt, M Davidson, ECC Steele, JD Amies, T Scott, P Russell Cambridge Prisms: Coastal Futures 1, e16, 2023 | 8 | 2023 |
Cooling of the West Spitsbergen Current: AUV-based turbulence measurements west of Svalbard E Steele, T Boyd, M Inall, E Dumont, C Griffiths 2012 IEEE/OES Autonomous Underwater Vehicles (AUV), 1-7, 2012 | 8 | 2012 |
Using weather sensitivity analysis to predict business performance H Brown, M Lee, E Steele, R Neal, K Chowienczyk Weather 74 (7), 231-236, 2019 | 7 | 2019 |
A Real-Time Spatiotemporal Machine Learning Framework for the Prediction of Nearshore Wave Conditions J Chen, IGC Ashton, ECC Steele, AC Pillai Artificial Intelligence for the Earth Systems 2 (1), e220033, 2023 | 5 | 2023 |
Using metocean forecast verification information to effectively enhance operational decision-making E Steele, H Brown, C Bunney, P Gill, K Mylne, A Saulter, J Standen, ... Offshore Technology Conference, D032S085R006, 2021 | 5 | 2021 |
Operational forecasting of coastal resilience M Davidson, E Steele, A Saulter Coastal Sediments Conference, 2019 | 4 | 2019 |
Direct measurement of hairpin‐like vortices in the bottom boundary layer of the coastal ocean ECC Steele, WAM Nimmo‐Smith, A Vlasenko Geophysical Research Letters 43 (3), 1175-1183, 2016 | 4 | 2016 |
The Value-Add of Tailored Seasonal Forecast Information for Industry Decision Making CM Goodess, A Troccoli, N Vasilakos, S Dorling, E Steele, JD Amies, ... Climate 10 (10), 152, 2022 | 2 | 2022 |
Protection of critical oil and gas infrastructure via the skilful prediction of coastal erosion at short lead times E Steele, M Davidson, A Saulter, N Fournier, J Upton Offshore Technology Conference, 2019 | 2 | 2019 |
Prediction of Loop Current and Eddy Regimes in the Gulf of Mexico E Steele, S Jaramillo, R Neal, J Storie, X Zhang Offshore Technology Conference, D031S035R006, 2023 | 1 | 2023 |
Evaluation of methods of estimating time‐optimal flight routes in a changing climate JCH Cheung, CA Wells, ECC Steele Meteorological Applications 30 (2), e2121, 2023 | 1 | 2023 |
Anticipated Verification: a simple method for representing confidence and trust in metocean forecast information to effectively enhance operational decision-making E Steele, K Mylne, R Neal, J Standen, G Geertsema, F Krikken, H de Vries, ... Offshore Technology Conference, D041S056R001, 2022 | 1 | 2022 |
Three-dimensional turbulence characteristics of the bottom boundary layer of the coastal ocean ECC Steele University of Plymouth, 2015 | 1 | 2015 |
Examination of turbulence structures in the bottom boundary layer of the coastal ocean by submersible 3D-PTV E Steele, A Nimmo-Smith, A Vlasenko, P Hosegood PIV13; 10th International Symposium on Particle Image Velocimetry, Delft …, 2013 | 1 | 2013 |
A spatiotemporal machine learning framework for the prediction of metocean conditions in the Gulf of Mexico E Steele, J Chen, I Ashton, A Pillai, S Jaramillo, P Leung, L Zarate Offshore Technology Conference, D021S017R004, 2024 | | 2024 |