Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2018GL080201 |
Using Global and Regional Model Simulations to Understand Maritime Continent Wet-Season Rainfall Variability | |
King, Andrew D.; Vincent, Claire L. | |
2018-11-28 | |
发表期刊 | GEOPHYSICAL RESEARCH LETTERS
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ISSN | 0094-8276 |
EISSN | 1944-8007 |
出版年 | 2018 |
卷号 | 45期号:22页码:12534-12543 |
文章类型 | Article |
语种 | 英语 |
国家 | Australia |
英文摘要 | The Maritime Continent is a densely populated area of complex topography located between the Pacific and Indian Oceans. It is an area where model skill is particularly important but also difficult to obtain. In this study we examine interannual austral summer rainfall variability in the region and the teleconnection to the El Nino-Southern Oscillation (ENSO) in observation-based data, reanalyses, and global and regional atmosphere-only model simulations. We show that model ability to capture interannual rainfall variability is strongly related to model skill in reproducing the ENSO teleconnection to the region, despite strong spatial variability in the ENSO-rainfall response in coastal areas. Model ability in capturing the spatial pattern of both the midtropospheric moisture and circulation response to ENSO is a strong predictor for model performance in capturing the ENSO-Maritime Continent rainfall teleconnection. High-resolution regional simulations and better performing models have opposing ENSO-rainfall teleconnections between land and sea areas. Plain Language Summary The Maritime Continent experiences substantial rainfall variability resulting in droughts and flooding. It is also a region of complex topography that is poorly resolved in global climate models. Here we analyze the year-to-year rainfall variability of the region in more detail. We find that models that perform well in capturing year-to-year variability have more realistic teleconnections to the El Nino-Southern Oscillation (ENSO). Models that have better represented ENSO-rainfall relationships capture the observed spatial pattern of both the atmospheric moisture and circulation responses to ENSO. A high-resolution model exhibits much more detailed representation of the atmospheric state with opposing ENSO-rainfall relationships over land and sea that are not captured by the worst performing global models. The large range in model performance in the region should be considered when making climate projections for the Maritime Continent. |
英文关键词 | Maritime Continent precipitation ENSO CMIP5 WRF |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000453250000048 |
WOS关键词 | PRECIPITATION ; CLIMATE ; TELECONNECTIONS ; MESOSCALE ; CMIP3 ; HEAT ; MJO |
WOS类目 | Geosciences, Multidisciplinary |
WOS研究方向 | Geology |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/27339 |
专题 | 气候变化 |
作者单位 | Univ Melbourne, Sch Earth Sci, ARC Ctr Excellence Climate Extremes, Melbourne, Vic, Australia |
推荐引用方式 GB/T 7714 | King, Andrew D.,Vincent, Claire L.. Using Global and Regional Model Simulations to Understand Maritime Continent Wet-Season Rainfall Variability[J]. GEOPHYSICAL RESEARCH LETTERS,2018,45(22):12534-12543. |
APA | King, Andrew D.,&Vincent, Claire L..(2018).Using Global and Regional Model Simulations to Understand Maritime Continent Wet-Season Rainfall Variability.GEOPHYSICAL RESEARCH LETTERS,45(22),12534-12543. |
MLA | King, Andrew D.,et al."Using Global and Regional Model Simulations to Understand Maritime Continent Wet-Season Rainfall Variability".GEOPHYSICAL RESEARCH LETTERS 45.22(2018):12534-12543. |
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