Ensemble Empirical Mode Decomposition as an Alternative for Tree-Ring Chronology Development
Bibliographic Data
| ID | 24102323 |
|---|---|
| Authors | Biing T Guan (0000-0001-9860-0861, National Taiwan University, corresponding author), William E Wright (0000-0002-1701-9811, University of Arizona), Edward R Cook (0000-0001-7478-4176, Lamont-Doherty Earth Observatory) |
| Year | 2018 |
| Volume | 74 |
| Issue | 1 |
| Pages | 28-38 |
| Publication date | 2018-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Tree-Ring Research (JOURNAL) |
| Journal identifiers | ISSN: 1536-1098 • E-ISSN: 2162-4585 |
| Publisher | Tree-Ring Society (PUBLISHER) |
| DOI | 10.3959/1536-1098-74.1.28 |
| OpenAlex | W2789032013 |
| Language | EN |
| Citations received | 1 |
| References cited | 29 |
Since its establishment, tree-ring analysis has benefitted several scientific fields. Because of its many advantages, dendrochronology is a first choice to reconstruct past environmental variability. Two major concerns about the current tree-ring reconstruction paradigm are the subjective choices of detrending functions and the lack of fidelity to data of chronology generation methods. It is difficult to recover the original tree-ring data once they have been detrended and standardized. In this study, ensemble empirical mode decomposition (EEMD) is introduced as an objective high-fidelity stand-alone approach for developing tree-ring chronologies. Basic concepts of EEMD, recommended steps in developing chronologies, and available public domain programs are discussed. To demonstrate the potentials of EEMD for chronology development, two examples are provided, one for climate and the other for streamflow reconstructions. In both examples, EEMD chronologies show higher correlations with the instrumental data and have more power in their spectra than the ones developed based on the current tree-ring reconstruction approach. General usage concerns and cautions are also addressed.
Chronology · Computer vision · Data mining · Dendrochronology · Dendroclimatology · Fidelity · Hilbert–Huang transform · Pattern recognition (psychology) · Tree (set theory) · Artificial Intelligence · Computer Science · Geology · Hydrology and Drought Analysis · Mathematics · Paleontology · Plant Water Relations and Carbon Dynamics · Tree-ring climate responses
The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
Low-Frequency Signals in Long Tree-Ring Chronologies for Reconstructing Past Temperature Variability
Ensemble Empirical Mode Decomposition
Fennoscandian summers from ad 500
Effect of tree-ring detrending method on apparent growth trends of black and white spruce in interior Alaska
The 'segment length curse' in long tree-ring chronology development for palaeoclimatic studies
Regional curve standardization
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,17 |
| Citation span | 2020 - 2020 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |