ENSO as an Integrating Concept in Earth Science

By M. Mcphaden, S. Zebiak, M. Glantz. Science, 2006

1,923 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/9352e1ea64ff9e3dc041270f2100814658e30720

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Global and Planetary Change

1. Wansuo Duan
2. Mu Mu
3. Yanshan Yu
4. Jiang Zhu
5. F. Zheng
6. Swadhin K. Behera
7. Toshio Yamagata
8. Jing‐Jia Luo

In Oceanography

1. Wansuo Duan
2. Mu Mu
3. Swadhin K. Behera
4. Toshio Yamagata
5. Yanshan Yu
6. Jing‐Jia Luo
7. J. Vialard
8. Jiang Zhu

Citations in the corpus

• Improved ensemble-mean forecasting of ENSO events by a zero-mean stochastic error model of an intermediate coupled model (2016, background): “Comprehending the variations in its characters is still a significant issue for climate prediction and socioeconomic interests (McPhaden et al. 2006; Ashok and Yamagata 2009).”
• SEAS5: the new ECMWF seasonal forecast system (2018, background): “The dominant mode of global SST inter-annual variability is the ENSO (e.g. McPhaden et al., 2006; Deser et al., 2010).”
• Seasonal climate forecasting (2010, background): “In addition, coupled model forecasts are also prone to ‘initialization shock’, a rapid unphysical adjustment toward the model climatology that can interfere with the ability to correctly evolve real climate signals (McPhaden et al., 2006a).”
• Influence of the state of the Indian Ocean Dipole on the following year’s El Niño (2010, background): “…ground for MJO onset), is associated with enhanced intraseasonal variability of the zonal winds [Zhang 2005; Eisenman et al. 2005; Vecchi et al. 2006; Izumo et al. 2010] that might also contribute to the ENSO development [e.g. Kessler et al. 1995, Lengaigne et al. 2004; McPhaden et al. 2006].”
• Biological response to the 1997–98 and 2009–10 El Niño events in the equatorial Pacific Ocean (2012, background): “[2] El Niño-Southern Oscillation (ENSO) affects global atmospheric and oceanic conditions on interannual timescales that in turn alter biological production and ecosystem dynamics in many regions, most notably the equatorial Pacific Ocean [Chavez et al., 1999; McPhaden et al., 2006].”
• ENSO representation in climate models: from CMIP3 to CMIP5 (2013, background): “One of the most important features of ENSO in terms of climate impacts and 219 teleconnections is its impact on atmospheric convection and hence on precipitation and large- 220 scale circulation (e.g. McPhaden et al 2006).”
• Satellite Salinity Observing System: Recent Discoveries and the Way Forward (2019, background): “Efforts to understand the causes and consequences of ENSO reveal the breadth of ENSO’s influence on the Earth system and the potential to exploit its predictability for societal benefit (McPhaden et al., 2006; National Academies of Sciences, Engineering, and Medicine, 2016).”
• Does Model Parameter Error Cause a Significant “Spring Predictability Barrier” for El Niño Events in the Zebiak–Cane Model? (2012, background): “The El Niño–Southern Oscillation (ENSO) cycle has attracted the attention of scientists in recent decades because its environmental and socioeconomic impacts are felt worldwide (e.g., McPhaden et al. 2006).”