{"title":"使用多模式和单成员环流模式集合对极端温度和降水事件进行归因的方法","authors":"S. Lewis, S. Perkins‐Kirkpatrick, A. King","doi":"10.5194/ASCMO-5-133-2019","DOIUrl":null,"url":null,"abstract":"Abstract. Extreme temperature and precipitation events occurring in Australia in\nrecent decades have caused significant socio-economic and environmental\nimpacts, and thus determining the factors contributing to these extremes is\nan active area of research. Many recently occurring record-breaking\ntemperature and rainfall events have now been examined from an extreme event\nattribution (EEA) perspective. This paper describes a set of studies that have\nexamined the causes of extreme climate events using various general\ncirculation models (GCMs), presenting a comprehensive methodology for\nGCM-based attribution of\nextremes of temperature and precipitation observed on large spatial and temporal scales in Australia. First, we review how\nCoupled Model Intercomparison Project Phase 5 (CMIP5) models have been used\nto examine the changing odds of observed extremes. Second, we review how a\nlarge perturbed initial condition ensemble of a single climate model (CESM)\nhas been used to quantitatively examine the changing characteristics of\nAustralian heat extremes. For each approach, methodological details and\napplications are provided and limitations highlighted. The conclusions of\nthis methodological review discuss the limitations and uncertainties\nassociated with this approach and identify key unexplored applications of\nGCM-based attribution of extremes. Ideally, this information will be useful\nfor the application of the described extreme event attribution\napproaches elsewhere.\n","PeriodicalId":36792,"journal":{"name":"Advances in Statistical Climatology, Meteorology and Oceanography","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Approaches to attribution of extreme temperature and precipitation events using multi-model and single-member ensembles of general circulation models\",\"authors\":\"S. Lewis, S. Perkins‐Kirkpatrick, A. King\",\"doi\":\"10.5194/ASCMO-5-133-2019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract. Extreme temperature and precipitation events occurring in Australia in\\nrecent decades have caused significant socio-economic and environmental\\nimpacts, and thus determining the factors contributing to these extremes is\\nan active area of research. Many recently occurring record-breaking\\ntemperature and rainfall events have now been examined from an extreme event\\nattribution (EEA) perspective. This paper describes a set of studies that have\\nexamined the causes of extreme climate events using various general\\ncirculation models (GCMs), presenting a comprehensive methodology for\\nGCM-based attribution of\\nextremes of temperature and precipitation observed on large spatial and temporal scales in Australia. First, we review how\\nCoupled Model Intercomparison Project Phase 5 (CMIP5) models have been used\\nto examine the changing odds of observed extremes. Second, we review how a\\nlarge perturbed initial condition ensemble of a single climate model (CESM)\\nhas been used to quantitatively examine the changing characteristics of\\nAustralian heat extremes. For each approach, methodological details and\\napplications are provided and limitations highlighted. The conclusions of\\nthis methodological review discuss the limitations and uncertainties\\nassociated with this approach and identify key unexplored applications of\\nGCM-based attribution of extremes. Ideally, this information will be useful\\nfor the application of the described extreme event attribution\\napproaches elsewhere.\\n\",\"PeriodicalId\":36792,\"journal\":{\"name\":\"Advances in Statistical Climatology, Meteorology and Oceanography\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Statistical Climatology, Meteorology and Oceanography\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5194/ASCMO-5-133-2019\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Mathematics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Statistical Climatology, Meteorology and Oceanography","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5194/ASCMO-5-133-2019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Mathematics","Score":null,"Total":0}
Approaches to attribution of extreme temperature and precipitation events using multi-model and single-member ensembles of general circulation models
Abstract. Extreme temperature and precipitation events occurring in Australia in
recent decades have caused significant socio-economic and environmental
impacts, and thus determining the factors contributing to these extremes is
an active area of research. Many recently occurring record-breaking
temperature and rainfall events have now been examined from an extreme event
attribution (EEA) perspective. This paper describes a set of studies that have
examined the causes of extreme climate events using various general
circulation models (GCMs), presenting a comprehensive methodology for
GCM-based attribution of
extremes of temperature and precipitation observed on large spatial and temporal scales in Australia. First, we review how
Coupled Model Intercomparison Project Phase 5 (CMIP5) models have been used
to examine the changing odds of observed extremes. Second, we review how a
large perturbed initial condition ensemble of a single climate model (CESM)
has been used to quantitatively examine the changing characteristics of
Australian heat extremes. For each approach, methodological details and
applications are provided and limitations highlighted. The conclusions of
this methodological review discuss the limitations and uncertainties
associated with this approach and identify key unexplored applications of
GCM-based attribution of extremes. Ideally, this information will be useful
for the application of the described extreme event attribution
approaches elsewhere.