Centre for Applied Climate Sciences, University of Southern Queensland, Toowoomba, Australia.
Bureau of Meteorology, Melbourne, Australia.
Sci Rep. 2022 Apr 8;12(1):5907. doi: 10.1038/s41598-022-09666-z.
The compound extreme weather event that impacted northern Queensland in February 2019 featured record-breaking rainfall, persistent high wind gusts and relatively cold day-time temperatures. This caused livestock losses numbering around 500,000 in the northwest Queensland Gulf region. In this study, we examine the livestock chill conditions associated with this week-long compound weather event and its potential for prediction from eleven world-leading sub-seasonal to seasonal (S2S) forecast systems. The livestock chill index combines daily rainfall, wind and surface temperature data. Averaged over the event week, the potential heat loss of livestock was in the moderate to high category, with severe conditions on the day of peak rainfall (5 February). Using calibrated forecasts from the Bureau of Meteorology's S2S forecast system, ACCESS-S1, a 1-week lead prediction showed a 20-30% probability of extreme livestock chill conditions over the northwest Queensland Gulf region, however the highest probabilities were located to the west of where the greatest livestock impacts were observed. Of the remaining ten S2S systems, around half predicted a more than 20% chance of extreme conditions, more than twice the climatological probability. It appears that the prediction accuracy arose from the skilful forecasts of extreme rainfall, as opposed to cold day-time temperature and strong wind forecasts. Despite a clear association between the observed extreme weather conditions and an active Madden-Julian Oscillation (MJO) event stalling in the western Pacific, the majority of 1-week lead S2S forecasts showed little indication of a slow-down in the MJO. As the livestock chill index was developed for southern Australian sheep, it may not be the best metric to represent the effects of exposure on tropical cattle breeds. Hence, this study draws attention to the need for tailored diagnostics that better represent the cold effects of summer tropical cyclones and tropical depressions on northern Australian livestock.
2019 年 2 月,昆士兰北部遭遇极端恶劣天气事件,创纪录的降雨量、持续的大风和相对较低的日间温度同时出现。恶劣天气导致西北部昆士兰海湾地区约 50 万头牲畜死亡。本研究分析了持续一周的复合型恶劣天气事件中与牲畜受寒相关的情况,并利用 11 个世界领先的亚季节到季节(S2S)预测系统对其进行预测。牲畜受寒指数结合了每日的降雨、风和地表温度数据。在整个恶劣天气事件周内,牲畜的潜在热量损失处于中等至较高水平,在降雨量峰值日(2 月 5 日)出现严重情况。利用澳大利亚气象局 S2S 预测系统(ACCESS-S1)校准后的预测数据,在恶劣天气事件发生前一周,该系统预测昆士兰西北部海湾地区出现极端牲畜受寒情况的概率为 20-30%,但在观测到最大牲畜影响的区域以西,出现这种情况的概率更高。在其余 10 个 S2S 系统中,约有一半系统预测出现极端情况的概率超过 20%,是气候概率的两倍多。这表明,预测的准确性源于对极端降雨的精确预测,而不是对日间低温和强风的预测。尽管观察到的极端天气条件与在西太平洋停滞不前的活跃 Madden-Julian 振波(MJO)事件有明显关联,但大多数一周的 S2S 预测几乎没有显示出 MJO 减速的迹象。由于牲畜受寒指数是为澳大利亚南部的绵羊开发的,因此它可能不是代表热带牛种暴露在这种天气下的最佳指标。因此,本研究提请注意,需要开发更能代表夏季热带气旋和热带低气压对澳大利亚北部牲畜产生的寒冷影响的针对性诊断工具。