Special section on statistics in the atmospheric sciences

DOI10.1214/08-AOAS209zbMath1154.62408arXiv0901.3469OpenAlexW3105836365MaRDI QIDQ999643

Peter Guttorp, Michael L. Stein, Montserrat Fuentes

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/0901.3469

zbMATH Keywords

air pollutionMarkov modelsmeteorologydata assimilationclimate changeprecipitation forecasting

Mathematics Subject Classification ID

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

Related Items (1)

Section on the special year for Mathematics of Planet Earth (MPE 2013)

Uses Software

• spBayes

Cites Work

• Spatial-temporal mesoscale modeling of rainfall intensity using gage and radar data
• Probabilistic quantitative precipitation field forecasting using a two-stage spatial model
• Interpreting self-organizing maps through space-time data models
• Parameter estimation for computationally intensive nonlinear regression with an application to climate modeling
• Interpolating fields of carbon monoxide data using a hybrid statistical-physical model
• Estimating exposure response functions using ambient pollution concentrations
• Nonstationary covariance models for global data
• Transient tracers and birth and death on flows: Parametric estimation of rates of drift, injection, and decay
• On spatial extremes: with application to a rainfall problem
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