Guide to empirical orthogonal functions for climate data analysis

By:

Navarra, Antonio

Contributor(s):

Simoncini, Valeria

Publication details: Springer, 2010. Dordrecht:Description: vi, 151 p. : ill. ; hb, 24 cmISBN:

9789400791602

Subject(s):

DDC classification:

551.5 NAV

Summary: 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.

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Books	IIT Gandhinagar General Stacks	General	551.5 NAV (Browse shelf(Opens below))	1	Available		030228

Browsing IIT Gandhinagar shelves, Shelving location: General Stacks, Collection: General Close shelf browser (Hides shelf browser)

Previous								Next
Previous	551.4609 ROH Oceans: a deep history	551.480954 SIN Indian rivers: scientific and socio-economic aspects	551.49 APP Geochemistry groundwater and pollution	551.5 NAV Guide to empirical orthogonal functions for climate data analysis	551.565 BRO Near the horizon: an invitation to geometric optics	551.701 HEN Age of the earth: a physicist's odyssey	551.701 REI Geochronology and thermochronology	Next

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.

There are no comments on this title.

to post a comment.