{"title":"麦登-朱利安涛动对ACCESS-S1预报系统预报澳大利亚极端降水的影响","authors":"A. Marshall, H. Hendon, D. Hudson","doi":"10.1071/es21001","DOIUrl":null,"url":null,"abstract":"We assessed the ability of the Bureau of Meteorology’s ACCESS-S1 dynamical forecast system to simulate and predict high rainfall extremes for each season over Australia, especially focusing on the role of the Madden-Julian Oscillation (MJO). Using retrospective forecasts for the period 1990–2012, we show that ACCESS-S1 simulated the observed modulation of extreme weekly mean rainfall by each phase of the MJO reasonably well; however the simulated changes in probabilities tended to be weaker than those observed, especially across the far north during the austral summer season. The ability of the model to (i) simulate the observed modulation of extreme rainfall and (ii) predict the MJO to a lead time of four weeks, translated to enhanced forecast skill for predicting the occurrence of extreme weekly mean rainfall across much of Australia at times when the MJO was strong, compared to when the MJO was weak, during the austral spring and summer seasons in weeks 2 and 3. However, skill reduced across the central far north during the summer when the MJO was strong, suggesting the model is not good at depicting the MJO’s convective phases as it protrudes southward over northern Australia. During autumn and winter, there was little indication of changes in forecast skill, depending on the strength of the MJO. The results of this study will be useful for regional applications when the MJO is forecast to be strong during spring and summer, particularly where the swing in probability of extreme rainfall is large for specific phases of the MJO.","PeriodicalId":55419,"journal":{"name":"Journal of Southern Hemisphere Earth Systems Science","volume":"73 1","pages":""},"PeriodicalIF":3.6000,"publicationDate":"2021-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Influence of the Madden-Julian Oscillation on multiweek prediction of Australian rainfall extremes using the ACCESS-S1 prediction system\",\"authors\":\"A. Marshall, H. Hendon, D. Hudson\",\"doi\":\"10.1071/es21001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We assessed the ability of the Bureau of Meteorology’s ACCESS-S1 dynamical forecast system to simulate and predict high rainfall extremes for each season over Australia, especially focusing on the role of the Madden-Julian Oscillation (MJO). Using retrospective forecasts for the period 1990–2012, we show that ACCESS-S1 simulated the observed modulation of extreme weekly mean rainfall by each phase of the MJO reasonably well; however the simulated changes in probabilities tended to be weaker than those observed, especially across the far north during the austral summer season. The ability of the model to (i) simulate the observed modulation of extreme rainfall and (ii) predict the MJO to a lead time of four weeks, translated to enhanced forecast skill for predicting the occurrence of extreme weekly mean rainfall across much of Australia at times when the MJO was strong, compared to when the MJO was weak, during the austral spring and summer seasons in weeks 2 and 3. However, skill reduced across the central far north during the summer when the MJO was strong, suggesting the model is not good at depicting the MJO’s convective phases as it protrudes southward over northern Australia. During autumn and winter, there was little indication of changes in forecast skill, depending on the strength of the MJO. The results of this study will be useful for regional applications when the MJO is forecast to be strong during spring and summer, particularly where the swing in probability of extreme rainfall is large for specific phases of the MJO.\",\"PeriodicalId\":55419,\"journal\":{\"name\":\"Journal of Southern Hemisphere Earth Systems Science\",\"volume\":\"73 1\",\"pages\":\"\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2021-07-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Southern Hemisphere Earth Systems Science\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1071/es21001\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Earth and Planetary Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Southern Hemisphere Earth Systems Science","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1071/es21001","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Earth and Planetary Sciences","Score":null,"Total":0}
Influence of the Madden-Julian Oscillation on multiweek prediction of Australian rainfall extremes using the ACCESS-S1 prediction system
We assessed the ability of the Bureau of Meteorology’s ACCESS-S1 dynamical forecast system to simulate and predict high rainfall extremes for each season over Australia, especially focusing on the role of the Madden-Julian Oscillation (MJO). Using retrospective forecasts for the period 1990–2012, we show that ACCESS-S1 simulated the observed modulation of extreme weekly mean rainfall by each phase of the MJO reasonably well; however the simulated changes in probabilities tended to be weaker than those observed, especially across the far north during the austral summer season. The ability of the model to (i) simulate the observed modulation of extreme rainfall and (ii) predict the MJO to a lead time of four weeks, translated to enhanced forecast skill for predicting the occurrence of extreme weekly mean rainfall across much of Australia at times when the MJO was strong, compared to when the MJO was weak, during the austral spring and summer seasons in weeks 2 and 3. However, skill reduced across the central far north during the summer when the MJO was strong, suggesting the model is not good at depicting the MJO’s convective phases as it protrudes southward over northern Australia. During autumn and winter, there was little indication of changes in forecast skill, depending on the strength of the MJO. The results of this study will be useful for regional applications when the MJO is forecast to be strong during spring and summer, particularly where the swing in probability of extreme rainfall is large for specific phases of the MJO.
期刊介绍:
The Journal of Southern Hemisphere Earth Systems Science (JSHESS) publishes broad areas of research with a distinct emphasis on the Southern Hemisphere. The scope of the Journal encompasses the study of the mean state, variability and change of the atmosphere, oceans, and land surface, including the cryosphere, from hemispheric to regional scales.
general circulation of the atmosphere and oceans,
climate change and variability ,
climate impacts,
climate modelling ,
past change in the climate system including palaeoclimate variability,
atmospheric dynamics,
synoptic meteorology,
mesoscale meteorology and severe weather,
tropical meteorology,
observation systems,
remote sensing of atmospheric, oceanic and land surface processes,
weather, climate and ocean prediction,
atmospheric and oceanic composition and chemistry,
physical oceanography,
air‐sea interactions,
coastal zone processes,
hydrology,
cryosphere‐atmosphere interactions,
land surface‐atmosphere interactions,
space weather, including impacts and mitigation on technology,
ionospheric, magnetospheric, auroral and space physics,
data assimilation applied to the above subject areas .
Authors are encouraged to contact the Editor for specific advice on whether the subject matter of a proposed submission is appropriate for the Journal of Southern Hemisphere Earth Systems Science.