The linkage between two ENSO types/modes and the interdecadal changes of ENSO around the year 2000

Wang, Run; Ren, Hong‐Li

doi:10.1080/16742834.2016.1258952

Cited by 38 publications

(27 citation statements)

References 24 publications

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“…The results show that an enhanced QB band (e.g. 2-3 years) since 2000 can be observed for DJF ESA rainfall ( Figure 5(a)), which is consistent with the enhanced QB band for ENSO since 2000 (Wang and Ren 2017). In contrast, the QB band for JJA CA rainfall is suppressed after 2000 ( Figure 5(b)), which may be partly influenced by the suppressed QB band in JJA TNA SST since 2000 ( Figure 5(c)).…”

Section: Discussionsupporting

confidence: 82%

“…a faster biennial phase transition in ENSO. Wang and Ren (2017) also suggested that the dominant period of ENSO has tended to be more biennial since 2000. This fast ENSO phase transition from the cold to warm phase may be the root cause for the observed weaker persistence in the cold TNA SST anomalies from boreal spring to boreal summer during the post-2000 period.…”

Section: Resultsmentioning

confidence: 99%

“…The weakening of the out-of-phase rainfall transition between ESA and CA is attributable to the weakened linkage between boreal-winter ESA rainfall and the subsequent TNA SST since 2000. Wang and Ren (2017) suggested that the dominant period of ENSO shortened from quasi-quadrennial to quasi-biennial (QB) after 2000. Therefore, it is also instructive to compare the power spectra of ESA and CA rainfall before and after 2000.…”

Section: Discussionmentioning

confidence: 99%

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Weakening of the biennial relationship between Central American and equatorial South American rainfall in recent decades

Wang

2017

Atmospheric and Oceanic Science Letters

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Section: Discussionsupporting

confidence: 82%

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Weakening of the biennial relationship between Central American and equatorial South American rainfall in recent decades

Wang

2017

Atmospheric and Oceanic Science Letters

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“…A large amount of evidence indicates that there exist two flavors of ENSO events in the tropical Pacific Kao and Yu 2009;Kug et al 2009;Larkin and Harrison 2005a), with distinctly different climate impacts (e.g., Hegyi et al 2014;Hegyi and Deng 2011;Kim et al 2009;Wang and Wang 2014;Weng et al 2007;Zhang et al 2012;Zhang et al 2011). In contrast to the canonical ENSOs featured by SST anomalies in the eastern Pacific, the noncanonical types are featured by SST anomalies centered in the equatorial central Pacific (e.g., Ashok et al 2007;Kao and Yu 2009;Kug et al 2009; Jin 2011, 2013;Wang and Ren 2017;Weng et al 2007;Xiang et al 2013). This non-canonical type is alternatively referred to as dateline El Niño (Larkin and Harrison 2005a), El Niño Modoki Weng et al 2007), CP El Niño (Kao and Yu 2009), and warm-pool El Niño ).…”

Section: Introductionmentioning

confidence: 99%

Improving prediction of two ENSO types using a multi-model ensemble based on stepwise pattern projection model

et al. 2020

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This study focuses on improving prediction of the two types of ENSO by combining multi-model ensemble (MME) with a statistical error correction method that is based on a stepwise pattern projection and applied to all models before doing the MME. We evaluate such a combinational approach using five dynamical model datasets from the North American Multi-model Ensemble (NMME) project for the period of 1982-2010. The prediction skills of the proposed MME show an improvement over most tropical Pacific regions. With regard to the two ENSO types, improvements in prediction skills of the proposed MME are particularly evident for the Niño indices for short lead time. The differences between the Eastern Pacific and Central Pacific ENSO types are more pronounced in the corrected forecasts compared with the uncorrected ones. The zonal center position of sea surface temperature anomalies for the corrected MME is closer to the observed than that for the uncorrected MME. The results indicate that reducing prediction errors of each model member by a good correction method before applying the MME method can provide an effective way for empirically improving forecasts of the two ENSO types.Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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“…This study first classifies different types of El Niño events according to the latest national standard of the People's Republic of China (PRC) "Identification method for El Niño/La Niña events" issued by the China Meteorological Administration (CMA) (Ren et al, 2017). Then, we explore the impacts of two types of El Niño events on WHD in China's JJJ region (37°N -42°N, 113°E -120°E) from the perspectives of large-scale circulation and local synoptic condition anomalies using longterm site observations and reanalysis datasets, combined with commonly used circulation types classification methods.…”

Section: Introductionmentioning

confidence: 99%

Contrasting impacts of two types of El Niño events on winter haze days in China's Jing-Jin-Ji region

Yu¹,

Wang²,

Zhang³

et al. 2020

Preprint

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Abstract. El Niño is a complex system with diverse distribution features and intensities. The regional climate anomalies caused by different types of El Niño event likely lead to various impacts on winter haze pollution in China. Based on long-term site observations of haze days in China from 1961 to 2013, this study explores the effects of Eastern Pacific (EP) and Central Pacific (CP) types of El Niño event on winter haze days (WHD) in China's Jing-Jin-Ji (JJJ) region and the physical mechanisms underlying WHD changes. The results show statistically significant positive and negative correlations, respectively, between WHD in the JJJ region and EP and CP El Niño events. At most sites in the JJJ region, the average WHD are increased in all EP El Niño years, with the maximum change exceeding 2.0 days. Meanwhile the average WHD are decreased at almost all stations over this region in all CP El Niño years, with the largest change being more than −2.0 days. The changes in large-scale circulations indicate obviously positive surface air temperature (SAT) anomalies and negative sea level pressure (SLP) anomalies over North China, and southerly wind anomalies at the mid-low troposphere over eastern China in the winters of EP El Niño years. These anomalies are conducive to increases in WHD in the JJJ region. However, there are significant northerly and northwesterly wind anomalies at the mid-low troposphere over eastern China, and stronger and wider precipitation anomalies in the winters of CP El Niño years, which contribute to decreased WHD over the JJJ region. Changes in local synoptic conditions indicate negative SLP anomalies, positive SAT anomalies, and weakened northerly winds over the JJJ region in the winters of EP El Niño years. The occurrence frequency of circulation types conducive to the accumulation (diffusion) of aerosol pollutants is increased (decreased) by 0.4 % (0.37 %) in those winters. However, the corresponding frequency is decreased (increased) by 0.54 % (0.56 %) in the winters of CP El Niño years. Our study highlights the importance of distinguishing the impacts of two types of El Niño events on winter haze pollution in China's JJJ region.

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The linkage between two ENSO types/modes and the interdecadal changes of ENSO around the year 2000

Cited by 38 publications

References 24 publications

Weakening of the biennial relationship between Central American and equatorial South American rainfall in recent decades

Weakening of the biennial relationship between Central American and equatorial South American rainfall in recent decades

Improving prediction of two ENSO types using a multi-model ensemble based on stepwise pattern projection model

Contrasting impacts of two types of El Niño events on winter haze days in China's Jing-Jin-Ji region

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