On the use of generalized linear models for interpreting climate variability

Many topical questions in climate research can be reduced to either of two related problems: understanding how various different components of the climate system affect each other, and quantifying changes in the system. This article aims to justify the addition of generalized linear models to the cl...

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Bibliographic Details
Main Author: Chandler, RE
Format: Report
Language:unknown
Published: JOHN WILEY & SONS LTD 2005
Subjects:
Online Access:http://discovery.ucl.ac.uk/5382/
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spelling ftucl:oai:eprints.ucl.ac.uk.OAI2:5382 2023-05-15T17:32:14+02:00 On the use of generalized linear models for interpreting climate variability Chandler, RE 2005-11 http://discovery.ucl.ac.uk/5382/ unknown JOHN WILEY & SONS LTD JOHN WILEY & SONS LTD space-time data large datasets temperature modelling North Atlantic Oscillation orthogonal series DAILY RAINFALL DATA LONGITUDINAL DATA REGRESSION PRECIPITATION TEMPERATURES OSCILLATION EUROPE ROBUST Report 2005 ftucl 2016-12-15T23:08:32Z Many topical questions in climate research can be reduced to either of two related problems: understanding how various different components of the climate system affect each other, and quantifying changes in the system. This article aims to justify the addition of generalized linear models to the climatologist's toolkit, by demonstrating that they offer an intuitive and flexible approach to such problems. In particular, we provide some suggestions as to how 'typical' climatological data structures may be represented within the GLM framework. Recurring themes include methods for space-time data and the need to cope with large datasets. The ideas are illustrated using a dataset of monthly U.S. temperatures. Copyright (c) 2005 John Wiley & Sons, Ltd. Report North Atlantic North Atlantic oscillation University College London: UCL Discovery
institution Open Polar
collection University College London: UCL Discovery
op_collection_id ftucl
language unknown
topic space-time data
large datasets
temperature modelling
North Atlantic Oscillation
orthogonal series
DAILY RAINFALL DATA
LONGITUDINAL DATA
REGRESSION
PRECIPITATION
TEMPERATURES
OSCILLATION
EUROPE
ROBUST
spellingShingle space-time data
large datasets
temperature modelling
North Atlantic Oscillation
orthogonal series
DAILY RAINFALL DATA
LONGITUDINAL DATA
REGRESSION
PRECIPITATION
TEMPERATURES
OSCILLATION
EUROPE
ROBUST
Chandler, RE
On the use of generalized linear models for interpreting climate variability
topic_facet space-time data
large datasets
temperature modelling
North Atlantic Oscillation
orthogonal series
DAILY RAINFALL DATA
LONGITUDINAL DATA
REGRESSION
PRECIPITATION
TEMPERATURES
OSCILLATION
EUROPE
ROBUST
description Many topical questions in climate research can be reduced to either of two related problems: understanding how various different components of the climate system affect each other, and quantifying changes in the system. This article aims to justify the addition of generalized linear models to the climatologist's toolkit, by demonstrating that they offer an intuitive and flexible approach to such problems. In particular, we provide some suggestions as to how 'typical' climatological data structures may be represented within the GLM framework. Recurring themes include methods for space-time data and the need to cope with large datasets. The ideas are illustrated using a dataset of monthly U.S. temperatures. Copyright (c) 2005 John Wiley & Sons, Ltd.
format Report
author Chandler, RE
author_facet Chandler, RE
author_sort Chandler, RE
title On the use of generalized linear models for interpreting climate variability
title_short On the use of generalized linear models for interpreting climate variability
title_full On the use of generalized linear models for interpreting climate variability
title_fullStr On the use of generalized linear models for interpreting climate variability
title_full_unstemmed On the use of generalized linear models for interpreting climate variability
title_sort on the use of generalized linear models for interpreting climate variability
publisher JOHN WILEY & SONS LTD
publishDate 2005
url http://discovery.ucl.ac.uk/5382/
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_source JOHN WILEY & SONS LTD
_version_ 1766130249951608832