Guide to empirical orthogonal functions for climate data analysis
Navarra, Antonio
Guide to empirical orthogonal functions for climate data analysis - Dordrecht: Springer, 2010. - vi, 151 p. : ill. ; hb, 24 cm.
Includes bibliographical references and index.
Climatology and meteorology have basically been a descriptive science until it became possible to use numerical models, but it is crucial to the success of the strategy that the model must be a good representation of the real climate system of the Earth. Models are required to reproduce not only the mean properties of climate, but also its variability and the strong spatial relations between climate variability in geographically diverse regions. Quantitative techniques were developed to explore the climate variability and its relations between different geographical locations. Methods were borrowed from descriptive statistics, where they were developed to analyze variance of related observations-variable pairs, or to identify unknown relations between variables." "A Guide to Empirical Orthogonal Functions for Climate Data Analysis uses a different approach, trying to introduce the reader to a practical application of the methods, including data sets from climate simulations.
9789400791602
Climatology-Computer simulation
Climatology-Data processing
Orthogonalization methods
Analysis of variance
Climatic changes
Computer science
Mathematical geography
551.5 / NAV
Guide to empirical orthogonal functions for climate data analysis - Dordrecht: Springer, 2010. - vi, 151 p. : ill. ; hb, 24 cm.
Includes bibliographical references and index.
Climatology and meteorology have basically been a descriptive science until it became possible to use numerical models, but it is crucial to the success of the strategy that the model must be a good representation of the real climate system of the Earth. Models are required to reproduce not only the mean properties of climate, but also its variability and the strong spatial relations between climate variability in geographically diverse regions. Quantitative techniques were developed to explore the climate variability and its relations between different geographical locations. Methods were borrowed from descriptive statistics, where they were developed to analyze variance of related observations-variable pairs, or to identify unknown relations between variables." "A Guide to Empirical Orthogonal Functions for Climate Data Analysis uses a different approach, trying to introduce the reader to a practical application of the methods, including data sets from climate simulations.
9789400791602
Climatology-Computer simulation
Climatology-Data processing
Orthogonalization methods
Analysis of variance
Climatic changes
Computer science
Mathematical geography
551.5 / NAV
