Studies in the Atmospheric Sciences: Lecture Notes in Statistics, cartea 144
Editat de Mark L. Berliner, Douglas Nychka, Timothy Hoaren Limba Engleză Paperback – 30 mar 2000
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Specificații
ISBN-13: 9780387987576
ISBN-10: 0387987576
Pagini: 199
Ilustrații: X, 199 p. 17 illus.
Dimensiuni: 155 x 235 x 12 mm
Greutate: 0.31 kg
Ediția:Softcover reprint of the original 1st ed. 2000
Editura: Springer
Colecția Springer
Seria Lecture Notes in Statistics
Locul publicării:New York, NY, United States
ISBN-10: 0387987576
Pagini: 199
Ilustrații: X, 199 p. 17 illus.
Dimensiuni: 155 x 235 x 12 mm
Greutate: 0.31 kg
Ediția:Softcover reprint of the original 1st ed. 2000
Editura: Springer
Colecția Springer
Seria Lecture Notes in Statistics
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
1 Introduction.- 1 Statistics in the Climate and Weather Sciences.- 2 A Guide to this Volume.- 3 Software, Datasets, and the Web Companion.- 2 A Statistical Perspective on Data Assimilation in Numerical Models.- 1 Introduction.- 2 Assimilation and Penalized Least Squares.- 3 Time-Dependent Assimilation Methods.- 4 Ensemble Forecasting.- 5 Numerical Studies.- 6 Conclusions.- 3 Multivariate Spatial Models.- 1 Introduction.- 2 Cokriging.- 3 Kriging with External Drift.- 4 A Hierarchical Model.- 5 Miscellaneous Topics.- 6 Applications.- 7 Conclusions.- 4 Hierarchical Space—Time Dynamic Models.- 1 Introduction.- 2 Hierarchical Space—Time Dynamic Modeling.- 3 Tropical Wind Process.- 4 Ocean Wind Implementation.- 5 Discussion.- 5 Experimental Design for Spatial and Adaptive Observations.- 1 Introduction.- 2 Experimental Design: Spatial Fields.- 3 Experimental Design in Space—Time.- 4 Discussion.- 6 Seasonal Variation in Stratospheric Ozone Levels, a Functional Data Analysis Study.- 1 Introduction.- 2 Stratospheric Ozone Data.- 3 Principal Component Analysis.- 4 Continuous Basis Functions to Represent Ozone.- 5 Varying Coefficient Models.- 6 Discussion.- 7 Neural Networks: Cloud Parameterizations.- 1 Introduction.- 2 Cloud Parameterizations.- 3 Simulation of Cloud Cover.- 4 Conclusions and Future Work.- 8 Exploratory Statistical Analysis of Tropical Oceanic Convection Using Discrete Wavelet Transforms.- 1 Introduction.- 2 Description of the Dataset.- 3 Discrete Wavelets.- 4 Statistical Study of Cloud Systems.- 5 Conclusions and Future Work.- 9 Predicting Clear-Air Turbulence.- 1 Introduction.- 2 Indices Derived from the RUC-60 Model.- 3 Data Structure.- 4 The Single Index Approach.- 5 Modeling Strategy.- 6 Implementing FDA + MARS for CAT Forecast.- 7 MARS as VariableSubset Selection.- 8 Conclusions.- 10 Spatial Structure of the SeaWiFS Ocean Color Data for the North Atlantic Ocean.- 1 Introduction.- 2 SeaWiFS Ocean Color Data.- 3 Semivariograms and Other Tools in Spatial Statistics.- 4 Ocean Color Semivariograms.- 5 Spatial Patterns for the North Atlantic Ocean.- 6 Conclusions and Final Remarks.- References.