Seasonal climate forecast-an important tool in managing the risk of extreme weather events in Australia's wheat industry
Article
Article Title | Seasonal climate forecast-an important tool in managing the risk of extreme weather events in Australia's wheat industry |
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ERA Journal ID | 1951 |
Article Category | Article |
Authors | Luo, Qunying, Wen, Li, Cowan, Tim and Schilling, Dale |
Journal Title | Agricultural and Forest Meteorology |
Journal Citation | 351 |
Article Number | 110005 |
Number of Pages | 9 |
Year | 2024 |
Publisher | Elsevier |
Place of Publication | Netherlands |
ISSN | 0168-1923 |
1873-2240 | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.agrformet.2024.110005 |
Web Address (URL) | https://www.sciencedirect.com/science/article/abs/pii/S0168192324001205 |
Abstract | This study aims to investigate the benefits of using the Australian Community Climate and Earth-System Simulator-Seasonal Version 2 (ACCESS-S2), a state-of-the-art seasonal climate forecast (SCF) system, to improve contingent decision-making in the Australian wheat industry. Six locations in eastern Australia, three cultivars with varying maturities, and 17 times of sowing (TOS) were considered. Seasonal hindcasts from ACCESS-S2, initialized on the 1st May for the period 1981–2018 were linked with the Agricultural Production System sIMulator (APSIM)-Wheat model (v7.10) to (1) assess the hindcast skill of ACCESS-S2 in predicting the occurrence of extreme weather events and in predicting above/below long-term median wheat yield; (2) identify optimal management strategies in mitigating the impact of extreme weather events; and (3) quantify the yield benefit of using ACCESS-S2 at the key decision-making point of sowing against a baseline management situation (i.e., without the use of SCF). Research results showed that (1) ACCESS-S2 has varying skills in predicting extreme climate indices and wheat yield across the six locations at a seasonal lead time; (2) 68 % of cases had a yield gain using SCF information; (3) across all cases, there was an average yield gain of 281 kg/ha representing an increase of 13 %; (4) benefits of using SCF were seen across predicted wet years, neutral years and dry years accounting for 69 %, 65 % and 72 % respectively, and (5) the identified optimal management options varied from location to location with earlier sowing associated with either suntop or gregory or both being the optimal strategies at most of the locations considered. Overall, there is a demonstrated benefit in utilizing ACCESS-S2 forecasts in the Australian wheat industry to improve farm management decision-making. The benefit can occur in any climate state but with dry years being more likely and significant (with an average yield increase of 97 % across the locations). |
Keywords | Seasonal climate forecast ; Skill assessment of forecast system; Wheat yield ; Time of sowings ; Cultivar maturities ; ACCESS-S2 ; APSIM-Wheat model |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 300402. Agro-ecosystem function and prediction |
370105. Atmospheric dynamics | |
379999. Other earth sciences not elsewhere classified | |
370101. Adverse weather events | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Hillridge Technology, Australia |
Department of Environment, Climate Change and Water, New South Wales | |
Centre for Applied Climate Sciences | |
Australian Bureau of Meteorology |
https://research.usq.edu.au/item/z65y2/seasonal-climate-forecast-an-important-tool-in-managing-the-risk-of-extreme-weather-events-in-australia-s-wheat-industry
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