89 citations
- Shell (Netherlands)NL6 papers
- Imperial College LondonGB5 papers
- Lancaster UniversityGB5 papers
- Durham UniversityGB2 papers
- Otto-von-Guericke-Universität MagdeburgDE2 papers
- University College LondonGB2 papers
- Brunel University of LondonGB1 paper
- Bureau de Recherches Géologiques et MinièresFR1 paper
- Center for Scalable Data Analytics and Artificial IntelligenceDE1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- École Centrale de LyonFR1 paper
- German Research Centre for Artificial IntelligenceDE1 paper
4 papers · 1 filter
Statistical estimation of spatial wave extremes for tropical cyclones from small data samples: validation of the STM-E approach using long-term synthetic cyclone data for the Caribbean Sea
Ryota Wada, Jeremy Rohmer, Yann Krien +1
Occurrences of tropical cyclones at a location are rare, and for many locations, only short periods of observations or hindcasts are available. Hence, estimation of return values (…
A multivariate pseudo-likelihood approach to estimating directional ocean wave models
Jake P. Grainger, Adam M. Sykulski, Kevin Ewans +2
Ocean buoy data in the form of high frequency multivariate time series are routinely recorded at many locations in the world's oceans. Such data can be used to characterise the oce…
Statistics of extreme ocean environments: Non-stationary inference for directionality and other covariate effects
Matthew Jones, David Randell, Kevin Ewans +1
Numerous approaches are proposed in the literature for non-stationarity marginal extreme value inference, including different model parameterisations with respect to covariate, and…
Locating and quantifying gas emission sources using remotely obtained concentration data
Bill Hirst, Philip Jonathan, Fernando Gonzalez del Cueto +2
We describe a method for detecting, locating and quantifying sources of gas emissions to the atmosphere using remotely obtained gas concentration data; the method is applicable to…