Interpolating fields of carbon monoxide data using a hybrid statistical-physical model

DOI10.1214/08-AOAS168zbMath1168.62396arXiv0901.3670MaRDI QIDQ999657

Anders Malmberg, Doug Nychka, Natasha Flyer, Avelino Arellano, David P. Edwards, Christopher K. Wikle

Publication date: 10 February 2009

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0901.3670

zbMATH Keywords

interpolationadvection-diffusion equationsdata assimilationBayesian hierarchical modelssatellite data

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15) Meteorology and atmospheric physics (86A10)

Related Items

A statistical modeling approach for air quality data based on physical dispersion processes and its application to ozone modeling, A general science-based framework for dynamical spatio-temporal models, Special section on statistics in the atmospheric sciences, Interpolating fields of carbon monoxide data using a hybrid statistical-physical model

Uses Software

• spBayes
• astsa

Cites Work

• Interpolating fields of carbon monoxide data using a hybrid statistical-physical model
• Spatiotemporal Hierarchical Bayesian Modeling Tropical Ocean Surface Winds
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