El Niño–mean state–seasonal cycle interactions in a multi-model ensemble
By Eric Guilyardi. 2006
448 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change, Oceanography
View Paper: https://www.semanticscholar.org/paper/1d4c18e039312368a7cf2a4861292c7f6e515989
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- Sandrine Bony
- J. Dufresne
- Stephen A. Klein
- Gabriel Vecchi
- Brian J. Soden
- M. Zelinka
- A. Timmermann
- Eric Guilyardi
In Global and Planetary Change
- Sandrine Bony
- J. Dufresne
- Stephen A. Klein
- Gabriel Vecchi
- M. Zelinka
- Brian J. Soden
- Eric Guilyardi
- Georgiy L. Stenchikov
In Oceanography
- Eric Guilyardi
- K. Sperber
- K. AchutaRao
- J. Vialard
- Gabriel Vecchi
- A. Timmermann
- Brian J. Soden
- Soon-Il An
Citations in the corpus
- The Low-Resolution CCSM4 (2012, background): “By analyzing 629 equatorial SST before and after the 1976 climate shift, this anticorrelation can actually 630 be observed, and Guilyardi (2006) attributes it to the fact that, because ENSO is a 631 disruption of the seasonal cycle, a weaker seasonal cycle is easier to be disrupted -and 632 vice ver”
- The influence of a weakening of the atlantic meridional overturning circulation on ENSO (2006, background): “As mentioned in the introduction there is ample evidence from CGCM simulations (Guilyardi 2005; Timmermann et al. 2007) as well as from observations (Gu and Philander 1995) that the strength of ENSO can be anticorrelated with the strength of the annual cycle in the eastern equatorial Pacific.”
- Effects of Tropical Cyclones on Ocean Heat Transport in a High-Resolution Coupled General Circulation Model (2011, result): “The model used is a state-of-the-art fully coupled climate model that displays an improved representation of tropical cyclone–like vortices, compared with previous CGCMs.”
- ENSO simulation in coupled ocean-atmosphere models: are the current models better? (2006, methodology): “Guilyardi et al. (2004) used different model configurations that shared either the same ocean or atmospheric components.”
- Volcanoes and ENSO over the Past Millennium (2007, background): “wherein M is the sulfate aerosol loading, MK that of the Krakatau (1883) eruption, estimated at about 50 Mt (Self and Rampino 1981; Stothers 1996), corresponding to a solar dimming of ( F)K 3.”
- Weather Index Insurance and Climate Change: Opportunities and Challenges in Lower Income Countries (2009, background): “33 For example, Collins and CMIP Modelling Groups (2005); Guilyardi (2006); Van Oldenborgh et al. (2005).”
- Coupled Model Intercomparison Project 5 (CMIP5) simulations of climate following volcanic eruptions (2012, background): “Moreover, biases in model representations of ENSO variability [Guilyardi, 2006] could in the same way affect their response to volcanic forcing.”
- Global Warming and the Weakening of the Tropical Circulation (2007, background): “2006); many factors influence El Niño amplitude and frequency (e.g., Wittenberg 2002; Capotondi et al. 2006; Guilyardi 2006; Wittenberg et al. 2006).”
- The Effect of Orbital Forcing on the Mean Climate and Variability of the Tropical Pacific (2007, background): “2004a) and ENSO (Timmermann et al. 1999; Timmermann 2001; Philip and van Oldenborgh 2006; Guilyardi 2006) to anthropogenic climate change are highly model dependent.”
- ENSO representation in climate models: from CMIP3 to CMIP5 (2013, background): “Simulated and observed ENSO characteristics may depend on the mean state in the 277 tropical Pacific Ocean (e.g. Wang and An 2002, Guilyardi 2006, Sun et al 2009).”
- Key features of the IPSL ocean atmosphere model and its sensitivity to atmospheric resolution (2010, background): “The ENSO frequency, as measured by the peak of the Niño3 SSTA spectra, is too high in CTRL (about 2.7 years vs. 4–5 years in observations, Guilyardi 2006).”
- The Role of Atmosphere Feedbacks during ENSO in the CMIP3 Models. Part III: The Shortwave Flux Feedback (2012, unknown): “(2008), using a suite of integrations in which the atmospheric parameters of a coupled GCM are simultaneously perturbed, showed that the resulting ensemble has a range of ENSO characteristics comparable to that seen in multimodel ensembles (e.g., van Oldenborgh et al. 2005; Guilyardi 2006).”