Abstract

Abstract. The El Niño–Southern Oscillation (ENSO) is the most important source of global climate variability on interannual timescales and has substantial environmental and socio-economic consequences. However, it is unclear how it interacts with large-scale climate states over longer (decadal to centennial) timescales. The instrumental ENSO record is too short for analysing long-term trends and variability and climate models are unable to accurately simulate past ENSO states. Proxy data are used to extend the record, but different proxy sources have produced dissimilar reconstructions of long-term ENSO-like climate change, with some evidence for a temperature–precipitation divergence in ENSO-like climate over the past millennium, in particular during the Medieval Climate Anomaly (MCA; AD ∼ 800–1300) and the Little Ice Age (LIA; AD ∼ 1400–1850). This throws into question the stability of the modern ENSO system and its links to the global climate, which has implications for future projections. Here we use a new statistical approach using weighting based on empirical orthogonal function (EOF) to create two new large-scale reconstructions of ENSO-like climate change derived independently from precipitation proxies and temperature proxies. The method is developed and validated using model-derived pseudo-proxy experiments that address the effects of proxy dating error, resolution, and noise to improve uncertainty estimations. We find no evidence that temperature and precipitation disagree over the ENSO-like state over the past millennium, but neither do they agree strongly. There is no statistically significant difference between the MCA and the LIA in either reconstruction. However, the temperature reconstruction suffers from a lack of high-quality proxy records located in ENSO-sensitive regions, which limits its ability to capture the large-scale ENSO signal. Further expansion of the palaeo-database and improvements to instrumental, satellite, and model representations of ENSO are needed to fully resolve the discrepancies found among proxy records and establish the long-term stability of this important mode of climatic variability.

Highlights

  • The El Niño–Southern Oscillation (ENSO) is the most influential source of interannual variability in the modern climate

  • 1. we find no evidence that temperature and precipitation proxies disagree over the ENSO-like state of the climate during the past 2 millennia

  • The two reconstructions show little to no correlation, which is surprising as there is a strong relationship between temperature and precipitation ENSO behaviour at interannual timescales in instrumental–reanalysis data and general circulation models (GCMs)

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Summary

Introduction

The El Niño–Southern Oscillation (ENSO) is the most influential source of interannual variability in the modern climate. ENSO originates in the tropical Pacific, it has far-reaching effects through teleconnections on some regions in higher latitudes, and El Niño years are generally anomalously warm on a global scale. It is unclear whether there is a link between anomalously warm or cool periods and the two ENSO states on decadal to centennial timescales. Henke et al.: ENSO reconstructions to understand the natural long-term ENSO and its interaction with the climate It allows for an evaluation of the effects of anthropogenic impacts on recent and future ENSO behaviour (Collins, 2005; Guilyardi et al, 2009; Vecchi and Wittenberg, 2010; Bellenger et al, 2014)

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