Some statistical issues in climate science

DOI10.1214/19-STS730MaRDI QIDQ2218015

Michael L. Stein

Publication date: 12 January 2021

Published in: Statistical Science (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ss/1583226027

zbMATH Keywords

non-Gaussian processesclimate extremesArgo networkstatistical climatology

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items

Extreme value modeling with errors-in-variables in detection and attribution of changes in climate extremes, Spatiotemporal local interpolation of global ocean heat transport using argo floats: a debiased latent Gaussian process approach

Uses Software

• ECCO

Cites Work

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• A stochastic space-time model for intermittent precipitation occurrences
• Probabilistic quantitative precipitation field forecasting using a two-stage spatial model
• INLA goes extreme: Bayesian tail regression for the estimation of high spatio-temporal quantiles
• Spatial hierarchical modeling of precipitation extremes from a regional climate model
• Estimating Shape Constrained Functions Using Gaussian Processes
• Geostatistical Modelling Using Non-Gaussian Matérn Fields
• Spatial Analysis to Quantify Numerical Model Bias and Dependence
• Model-Based Geostatistics
• Nonseparable, Stationary Covariance Functions for Space–Time Data
• Classes of Nonseparable, Spatio-Temporal Stationary Covariance Functions
• Deterministic Nonperiodic Flow
• Finite-Dimensional Gaussian Approximation with Linear Inequality Constraints
• Inference for Clusters of Extreme Values
• Stochastic Partial Differential Equation Based Modelling of Large Space–Time Data Sets
• Should annual maximum temperatures follow a generalized extreme value distribution?
• Statistics of Heteroscedastic Extremes
• Space–Time Covariance Functions
• Statistical modeling of spatial extremes