Irrigation demand modelling using the UKCP09 weather generator: lessons learned

Show simple item record Green, Michael Weatherhead, E. K. 2016-08-31T15:27:27Z 2016-08-31T15:27:27Z 2013-12-03
dc.identifier.citation Green, M., Weatherhead, E. K. (2013) Irrigation demand modelling using the UKCP09 weather generator: lessons learned, Journal of Water and Climate Change, Vol. 5, Iss. 2, pp. 117-127 en_UK
dc.identifier.issn 2040-2244
dc.description.abstract The determination of irrigation demand is typically based on crop modelling using a long historic record of local daily weather data. However, there are rarely adequate weather station records near to given sites; often any local records cover a limited number of years, are incomplete, costly or are of poor quality. This paper examines whether version 1 of the UKCP09 weather generator can provide a simpler and effective method of calculating irrigation demand with sufficient accuracy for regulatory and design purposes. The irrigation demands at seven sites distributed around England were modelled using the UKCP09 baseline climatology and compared with results modelled using daily observed weather records. For the design dry year used for irrigation planning, the weather generator replicated the observed conditions with reasonable accuracy. The weather generator was however less successful at replicating extreme dry years. These results are encouraging but also provide a note of caution for the use of these generated datasets for studying current irrigation demand and by implication for modelling future needs under climate change. The study also demonstrated a simple sub-sampling approach for reducing the processing demands if using the dataset in more complex models, though this would not remove any underlying error. en_UK
dc.language.iso en en_UK
dc.publisher IWA Publishing en_UK
dc.rights Attribution-Non-Commercial 3.0 Unported (CC BY-NC 3.0) You are free to: Share — copy and redistribute the material in any medium or format, Adapt — remix, transform, and build upon the material. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Information: Non-Commercial — You may not use the material for commercial purposes. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits. en_UK
dc.rights ©IWA Publishing 2014. The definitive peer-reviewed and edited version of this article is published in the Journal of water and climate change, 5(2), pages 117-127, DOI: 10.2166/wcc.2013.052, and is available from en_UK
dc.title Irrigation demand modelling using the UKCP09 weather generator: lessons learned en_UK
dc.type Article en_UK

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