Quantifying age and model uncertainties in palaeoclimate data and dynamical climate models with a joint inferential analysis

Carson, J.; Crucifix, M.; Preston, S.P.; Wilkinson, R.D.

doi:10.1098/rspa.2018.0854

All Outputs (4)

Discussion: Object-Oriented Data Analysis, Power Metrics, and Graph Laplacians (2019)
Journal Article

Lacunarity of the zero crossings of Gaussian processes (2019)
Journal Article

A lacunarity analysis of the zero-crossings derived from Gaussian stochastic processes with oscillatory autocorrelation functions is evaluated and reveals distinct multi-scaling signatures depending on the smoothness and degree of anti-correlation of... Read More about Lacunarity of the zero crossings of Gaussian processes.

Spherical regression models with general covariates and anisotropic errors (2019)
Journal Article

Existing parametric regression models in the literature for response data on the unit sphere assume that the covariates have particularly simple structure, for example that they are either scalar or are themselves on the unit sphere, and/or that the... Read More about Spherical regression models with general covariates and anisotropic errors.

Quantifying age and model uncertainties in palaeoclimate data and dynamical climate models with a joint inferential analysis (2019)
Journal Article

The study of palaeoclimates relies on information sampled in natural archives such as deep sea cores. Scientific investigations often use such information in multi- stage analyses, typically with an age model being fitted to a core to convert depths... Read More about Quantifying age and model uncertainties in palaeoclimate data and dynamical climate models with a joint inferential analysis.