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• W1617486593 abstract "A forward model of the oxygen isotopic composition (δ18O) of wood cellulose is parameterized for time series prediction in tropical environments and driven with meteorological data observed at La Selva Biological Research Station, Costa Rica, for 1985–2001. Monthly-resolution model results correlate modestly (r = 0.34, p < 0.05) with observed isotopic data, with higher correlation (r = 0.45, p < 0.01) over the earliest 10 years of comparison and nonsignificant correlation over the most recent 6 years of record. Analysis of model output for La Selva suggests that isotopic variations are strongly controlled by rainfall amount. The model simulates an analogous but stronger than observed negative isotopic anomaly associated with positive July–September rainfall anomalies during El Nino–Southern Oscillation (ENSO) warm phase event years. Simulated tree isotope data for the global tropics suggest that a network of well-replicated data series from selected locations may resolve the large-scale precipitation anomaly pattern associated with ENSO." @default.
• W1617486593 created "2016-06-24" @default.
• W1617486593 creator A5011119665 @default.
• W1617486593 date "2007-07-01" @default.
• W1617486593 modified "2023-09-26" @default.
• W1617486593 title "Toward forward modeling for paleoclimatic proxy signal calibration: A case study with oxygen isotopic composition of tropical woods" @default.
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• W1617486593 doi "https://doi.org/10.1029/2006gc001406" @default.
• W1617486593 hasPublicationYear "2007" @default.
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