Chandler, R;
(2020)
Multisite, multivariate weather generation based on generalised linear models.
Environmental Modelling & Software
, 134
, Article 104867. 10.1016/j.envsoft.2020.104867.
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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-pp.ucl.ac.uk/id/eprint/10106175 |
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