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An analysis of regional climate simulations for Western Australia's wine regions-model evaluation and future climate projections

Firth, R., Kala, J.ORCID: 0000-0001-9338-2965, Lyons, T.J. and Andrys, J. (2017) An analysis of regional climate simulations for Western Australia's wine regions-model evaluation and future climate projections. Journal of Applied Meteorology and Climatology, 56 (7). pp. 2113-2138.

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Link to Published Version: https://doi.org/10.1175/JAMC-D-16-0333.1
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Abstract

The Weather Research and Forecasting (WRF) Model is evaluated as a regional climate model for the simulation of climate indices that are relevant to viticulture in Western Australia's wine regions at a 5-km resolution under current and future climate. WRF is driven with ERA-Interim reanalysis for the current climate and three global climate models (GCMs) for both current and future climate. The focus of the analysis is on a selection of climate indices that are commonly used in climate-viticulture research. Simulations of current climate are evaluated against an observational dataset to quantify model errors over the 1981-2010 period. Changes to the indices under future climate based on the SRES A2 emissions scenario are then assessed through an analysis of future (2030-59) minus present (1970-99) climate. Results show that when WRF is driven with ERA-Interim there is generally good agreement with observations for all of the indices although there is a noticeable negative bias for the simulation of precipitation. The results for the GCM-forced simulations were less consistent. Namely, while the GCM-forced simulations performed reasonably well for the temperature indices, all simulations performed inconsistently for the precipitation index. Climate projections showed significant warming for both of the temperature indices and indicated potential risks to Western Australia's wine growing regions under future climate, particularly in the north. There was disagreement between simulations with regard to the projections of the precipitation indices and hence greater uncertainty as to how these will be characterized under future climate.

Item Type: Journal Article
Murdoch Affiliation(s): School of Veterinary and Life Sciences
Publisher: American Meteorological Society
Copyright: © 2017 American Meteorological Society.
United Nations SDGs: Goal 13: Climate Action
URI: http://researchrepository.murdoch.edu.au/id/eprint/37788
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