Tree Rings Reveal ENSO in the Last Millennium

Abstract We present new climate field reconstructions (CFR) of tropical Pacific ENSO sea surface temperatures (HadISST) for the boreal winter season using a circum‐Pacific tree‐ring network from known El Niño rainfall impact regions. We use two different CFR methods: Point‐by‐Point Regression (PPR) and reduced‐space Orthogonal Spatial Regression (OSR). Both methods produce reconstructions with high validation skill, but OSR is preferred because it has less spatial noise and is more efficient. Only the leading EOF of the SST field (EOF1) can be skillfully reconstructed by either method; EOF2 does not validate. The success of EOF1 reflects its importance for ENSO rainfall impacts over land; the failure with EOF2 is from the lack of these impacts. EOF1 allows for the reconstruction of many ENSO indices, including the ENSO Longitudinal Index (ELI). We also find evidence in our reconstructions for a recent increase in ENSO activity.

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Publication Details

Journal
Geophysical Research Letters
Published
2024-10-03
DOI
https://doi.org/10.1029/2024gl109759
Citations
10
Primary Topic
Tree-ring climate responses
Type
article
Field-Weighted Citation Impact
3.76

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article

Tree Rings Reveal ENSO in the Last Millennium

Edward R. Cook, Mark A. Cane
10 citations
Geophysical Research Letters
Tree-ring climate responses
3.76
article

Tree Rings Reveal ENSO in the Last Millennium

Edward R. Cook, Mark A. Cane
article en
10 citations

Abstract

Abstract We present new climate field reconstructions (CFR) of tropical Pacific ENSO sea surface temperatures (HadISST) for the boreal winter season using a circum‐Pacific tree‐ring network from known El Niño rainfall impact regions. We use two different CFR methods: Point‐by‐Point Regression (PPR) and reduced‐space Orthogonal Spatial Regression (OSR). Both methods produce reconstructions with high validation skill, but OSR is preferred because it has less spatial noise and is more efficient. Only the leading EOF of the SST field (EOF1) can be skillfully reconstructed by either method; EOF2 does not validate. The success of EOF1 reflects its importance for ENSO rainfall impacts over land; the failure with EOF2 is from the lack of these impacts. EOF1 allows for the reconstruction of many ENSO indices, including the ENSO Longitudinal Index (ELI). We also find evidence in our reconstructions for a recent increase in ENSO activity.

Geophysical Research LettersVol. 51(19)
Lamont-Doherty Earth Observatory (US)
National Science Foundation
Openalex Percentile: Top 6%
Tree-ring climate responses
3.76
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