Studies in the Atmospheric Sciences /

The need to understand and predict the processes that influence the Earth's atmosphere is one of the grand scientific challenges for the next century. Due to the complexity of observational data and the variability of geophysical phenomena at many spatial and temporal scales, statistical scienc...

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Bibliographic Details
Main Author: Berliner, L. Mark
Corporate Author: SpringerLink (Online service)
Other Authors: Nychka, Douglas, Hoar, Timothy
Format: eBook
Language:English
Published: New York, NY : Springer New York, 2000.
Series:Lecture notes in statistics (Springer-Verlag) ; 144.
Subjects:
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • A Statistical Perspective on Data Assimilation in Numerical Models
  • Multivariate Spatial Models
  • Hierarchical Space-Time Dynamic Models
  • Experimental Design for Spatial and Adaptive Observations
  • Season Variation in Stratospheric Ozone Levels, a Functional Data Analysis Study
  • Neural Networks: Cloud Parameterizations
  • Exploratory Statistical Analysis of Tropical Oceanic Convection Using Discrete Wavelet Transforms
  • Predicting Clear-Air Turbulence
  • Spatial Structure of the SeaWiFS Ocean Color Data for the North Atlantic Ocean.