GSTDTAP  > 气候变化
DOI10.1029/2018GL080598
Diagnosing Secular Variations in Retrospective ENSO Seasonal Forecast Skill Using CMIP5 Model-Analogs
Ding, Hui1,2; Newman, Matthew1,2; Alexander, Michael A.2; Wittenberg, Andrew T.3
2019-02-16
发表期刊GEOPHYSICAL RESEARCH LETTERS
ISSN0094-8276
EISSN1944-8007
出版年2019
卷号46期号:3页码:1721-1730
文章类型Article
语种英语
国家USA
英文摘要

Retrospective tropical Indo-Pacific forecasts for 1961-2015 are made using 28 models from the fifth phase of the Coupled Model Intercomparison Project (CMIP5) plus four models from the North American Multi-Model Ensemble (NMME), using a model-analog technique. Forecast ensembles are extracted from preexisting model simulations, by finding those states that initially best match an observed anomaly and tracking their subsequent evolution, requiring no additional model integrations. Model-analog forecasts from the 10 "best" CMIP5 models have skill for sea surface temperature and precipitation comparable to that of both the NMME model-analog forecast ensemble and (since 1982) traditional assimilation-initialized NMME hindcasts. The El Nino-Southern Oscillation (ENSO) forecast skill has no trend over the 55-year period, and its decadal variations appear largely random, although the skill does improve during epochs of increased ENSO activity. Including the CMIP5-projected effects of external radiative forcings improves the tropical sea surface temperature skill of the model-analog forecasts but not within the ENSO region.


领域气候变化
收录类别SCI-E
WOS记录号WOS:000462072800066
WOS关键词EL-NINO ; OCEAN ; PREDICTABILITY ; TEMPERATURE ; MODULATION ; PREDICTION
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/181392
专题气候变化
作者单位1.Univ Colorado, CIRES, Boulder, CO 80309 USA;
2.NOAA, Earth Syst Res Lab, Boulder, CO 80305 USA;
3.NOAA, Geophys Fluid Dynam Lab, Princeton, NJ USA
推荐引用方式
GB/T 7714
Ding, Hui,Newman, Matthew,Alexander, Michael A.,et al. Diagnosing Secular Variations in Retrospective ENSO Seasonal Forecast Skill Using CMIP5 Model-Analogs[J]. GEOPHYSICAL RESEARCH LETTERS,2019,46(3):1721-1730.
APA Ding, Hui,Newman, Matthew,Alexander, Michael A.,&Wittenberg, Andrew T..(2019).Diagnosing Secular Variations in Retrospective ENSO Seasonal Forecast Skill Using CMIP5 Model-Analogs.GEOPHYSICAL RESEARCH LETTERS,46(3),1721-1730.
MLA Ding, Hui,et al."Diagnosing Secular Variations in Retrospective ENSO Seasonal Forecast Skill Using CMIP5 Model-Analogs".GEOPHYSICAL RESEARCH LETTERS 46.3(2019):1721-1730.
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