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Multisite, multivariate weather generation based on generalised linear models

Chandler, R; (2020) Multisite, multivariate weather generation based on generalised linear models. Environmental Modelling & Software , 134 , Article 104867. 10.1016/j.envsoft.2020.104867. Green open access

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Abstract

This paper describes a methodology for constructing and simulating from models of daily weather time series at multiple locations, incorporating potential nonstationarities and suitable for use in those studies of climate impacts and adaptation where a detailed representation of local weather is required. The approach is based on generalised linear models (GLMs) and aims to allow for realistic representations of local weather structures including spatial, temporal and inter-variable dependencies. The theory is implemented in a software tool, Rglimclim, that runs in the R programming environment; and is illustrated using a case study involving generation of daily precipitation and temperature at 26 locations in northern Iberia.

Type: Article
Title: Multisite, multivariate weather generation based on generalised linear models
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.envsoft.2020.104867
Publisher version: https://doi.org/10.1016/j.envsoft.2020.104867
Language: English
Additional information: © 2020 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Keywords: Climate impacts, Downscaling, Weather generator
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science
URI: https://discovery.ucl.ac.uk/id/eprint/10106175
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