A multimillennial snow water equivalent reconstruction from giant sequoia tree rings
dc.contributor.author | Touchan, R. | |
dc.contributor.author | Black, B. | |
dc.contributor.author | Shamir, E. | |
dc.contributor.author | Hughes, M. K. | |
dc.contributor.author | Meko, D. M. | |
dc.date.accessioned | 2021-01-23T02:59:40Z | |
dc.date.available | 2021-01-23T02:59:40Z | |
dc.date.issued | 2021-01-02 | |
dc.identifier.citation | Touchan, R., Black, B., Shamir, E. et al. A multimillennial snow water equivalent reconstruction from giant sequoia tree rings. Clim Dyn (2021). https://doi.org/10.1007/s00382-020-05548-0 | en_US |
dc.identifier.issn | 0930-7575 | |
dc.identifier.doi | 10.1007/s00382-020-05548-0 | |
dc.identifier.uri | http://hdl.handle.net/10150/650967 | |
dc.description.abstract | The first dendroclimatic reconstruction of May 1 snow water equivalent (SWE) was developed from a Sequoiadendron giganteum regional tree-ring chronology network of 23 sites in central California for the period 90–2012 CE. The reconstruction is based on a significant relationship between May 1 SWE and tree-ring growth and shows climate variability from interannual to intercentennial time scales. A regression-based reconstruction equation explains up to 55% of the variance of SWE for 1940–2012. Split-sample validation supports our use of a reconstruction model based on the full period of reliable observational data (1940–2012). Thresholds for May 1 SWE low (15 percentile) and high (80 percentile) years were selected based on the exploratory scatterplots relationship between observed and reconstructed data for the period 1940–2012. The longest period of consecutive low-SWE years in the reconstruction is 2 years and the frequency of the lowest SWE years is highest during the period 710–809 CE. The longest high-SWE period, defined by consecutive wet years, is 3 years (558–560 CE). SWE and its reconstruction positively correlate with northeastern Pacific sea surface temperatures, the low-frequency variability of which may provide some predictive ability. Ultimately, the instrumental record and reconstruction suggest that unlike other sites in the region, twentieth century SWE variability in these Sequoia groves has remained within historical boundaries and relatively buffered from extremes and severe declines, though this is likely to change in coming decades with potentially negative effects on water availability for these trees. © 2021, Springer-Verlag GmbH Germany, part of Springer Nature. | en_US |
dc.description.sponsorship | National Science Foundation of Sri Lanka | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer Science and Business Media LLC | en_US |
dc.rights | © Springer-Verlag GmbH Germany, part of Springer Nature 2021. | en_US |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en_US |
dc.subject | Drought | en_US |
dc.subject | El Niño Southern Oscillation | en_US |
dc.subject | Giant sequoia | en_US |
dc.subject | May 1 SWE | en_US |
dc.subject | Pacific Decadal Oscillation | en_US |
dc.title | A multimillennial snow water equivalent reconstruction from giant sequoia tree rings | en_US |
dc.type | Article | en_US |
dc.identifier.eissn | 1432-0894 | |
dc.contributor.department | Laboratory of Tree‐Ring Research, University of Arizona | en_US |
dc.identifier.journal | Climate Dynamics | en_US |
dc.description.note | 12 month embargo; published: 02 January 2021 | en_US |
dc.description.collectioninformation | This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu. | en_US |
dc.eprint.version | Final accepted manuscript | en_US |
dc.identifier.pii | 5548 | |
dc.source.journaltitle | Climate Dynamics |