Michelle L'Heureux
National Oceanic and Atmospheric Administration
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Publication
Featured researches published by Michelle L'Heureux.
Bulletin of the American Meteorological Society | 2012
Anthony G. Barnston; Michael K. Tippett; Michelle L'Heureux; Shuhua Li; David G. DeWitt
Real-time model predictions of ENSO conditions during the 2002–11 period are evaluated and compared to skill levels documented in studies of the 1990s. ENSO conditions are represented by the Nino- 3.4 SST index in the east-central tropical Pacific. The skills of 20 prediction models (12 dynamical, 8 statistical) are examined. Results indicate skills somewhat lower than those found for the less advanced models of the 1980s and 1990s. Using hindcasts spanning 1981–2011, this finding is explained by the relatively greater predictive challenge posed by the 2002–11 period and suggests that decadal variations in the character of ENSO variability are a greater skill-determining factor than the steady but gradual trend toward improved ENSO prediction science and models. After adjusting for the varying difficulty level, the skills of 2002–11 are slightly higher than those of earlier decades. Unlike earlier results, the average skill of dynamical models slightly, but statistically significantly, exceeds that of sta...
Journal of Climate | 2013
Shih-Yu Wang; Michelle L'Heureux; Jin-Ho Yoon
AbstractUsing multiple observational and model datasets, the authors document a strengthening relationship between boreal winter sea surface temperature anomalies (SSTAs) in the western North Pacific (WNP) and the development of the El Nino–Southern Oscillation (ENSO) in the following year. The increased WNP–ENSO association emerged in the mid-twentieth century and has grown through the present, reaching correlation coefficients as high as ~0.70 in recent decades. Fully coupled climate experiments with the Community Earth System Model, version 1 (CESM1), replicate the WNP–ENSO association and indicate that greenhouse gases (GHGs) are largely responsible for this observed increase. The authors speculate that shifts in the location of the largest positive SST trends between the subtropical and tropical western Pacific impact the low-level circulation in a manner that reinforces the link between the WNP and the development of ENSO. A strengthened GHG-driven relationship with the WNP provides an example of ho...
Geophysical Research Letters | 2016
Boyin Huang; Michelle L'Heureux; Zeng-Zhen Hu; Huai-Min Zhang
The strength of El Nino-Southern Oscillation (ENSO) is often measured using a single, discrete value of the Nino index. However, this method does not consider the sea surface temperature (SST) uncertainty associated with the observations and data processing. On the basis of the Nino3.4 index and its uncertainty, we find that the strength of the three strongest ENSO events is not separable at 95% confidence level. The monthly peak SST anomalies in the most recent 2015-16 El Nino is tied with 1997-98 and 1982-83 El Nino as the strongest. The three most negative monthly Nino values occur within the 1955-56, 1973-74, and 1975-76 La Nina events, which cannot be discriminated by rank. The histograms of 1000-member ensemble analysis support the conclusion that the strength of the three strongest ENSO events is not separable. These results highlight that the ENSO ranking has to include the SST uncertainty.
Geophysical Research Letters | 2008
Michelle L'Heureux; Arun Kumar; Gerald D. Bell; Michael S. Halpert; R. Wayne Higgins
Geophysical Research Letters | 2012
Shih-Yu Wang; Michelle L'Heureux; Hsin Hsing Chia
Geophysical Research Letters | 2010
Michelle L'Heureux; Amy H. Butler; Bhaskar Jha; Arun Kumar; Wanqiu Wang
Geophysical Research Letters | 2010
Arun Kumar; Bhaskar Jha; Michelle L'Heureux
Geophysical Research Letters | 2017
Michelle L'Heureux; Michael K. Tippett; Arun Kumar; Amy H. Butler; Laura M. Ciasto; Qinghua Ding; Kirstin J. Harnos; Nathaniel C. Johnson
publisher | None
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98th American Meteorological Society Annual Meeting | 2018
Michelle L'Heureux
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Cooperative Institute for Research in Environmental Sciences
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