Reducing storage of global wind ensembles with stochastic generators
From MaRDI portal
Publication:1647632
DOI10.1214/17-AOAS1105zbMath1393.62123arXiv1702.01995OpenAlexW2964139940MaRDI QIDQ1647632
Paola Crippa, Jaehong Jeong, Stefano Castruccio, Marc G. Genton
Publication date: 26 June 2018
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1702.01995
sphereaxial symmetrynonstationaritystochastic generatorspatio-temporal covariance modelsurface wind speed
Inference from spatial processes (62M30) Applications of statistics to environmental and related topics (62P12)
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Cites Work
- Unnamed Item
- Unnamed Item
- An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
- Strictly and non-strictly positive definite functions on spheres
- Global space-time models for climate ensembles
- Spatial models generated by nested stochastic partial differential equations, with an application to global ozone mapping
- Some theory for anisotropic processes on the sphere
- Isotropic covariance matrix functions on all spheres
- Spatial variation of total column ozone on a global scale
- Nonstationary covariance models for global data
- Reducing storage of global wind ensembles with stochastic generators
- Spherical process models for global spatial statistics
- Matérn-based nonstationary cross-covariance models for global processes
- Non-stationary Cross-Covariance Models for Multivariate Processes on a Globe
- Deterministic Nonperiodic Flow
- Compression and Conditional Emulation of Climate Model Output
- Short‐Term Wind Speed Forecasting for Power System Operations
- Stochastic Processes on a Sphere
