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Kevin J. Anchukaitis

Researcher at University of Arizona

Publications -  143
Citations -  11540

Kevin J. Anchukaitis is an academic researcher from University of Arizona. The author has contributed to research in topics: Climate change & Global warming. The author has an hindex of 48, co-authored 129 publications receiving 9246 citations. Previous affiliations of Kevin J. Anchukaitis include Woods Hole Oceanographic Institution & University of Tennessee.

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A high yield cellulose extraction system for small whole wood samples and dual measurement of carbon and oxygen stable isotopes

TL;DR: In this article, a cellulose extraction system for small amounts of wood and leaves is described, which allows simultaneous extraction of cellulose from 150 samples by means of in-house filter tubes, where chemicals used for the cellulose extract are exchanged and eliminated in batches.
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Spatiotemporal Variability in the Climate Growth Response of High Elevation Bristlecone Pine in the White Mountains of California

TL;DR: In this article, the authors evaluate differences in climate induced by topography (topoclimate) to better understand the dual signals of temperature and moisture, unmix signals from trees growing at and near the upper forest border based on the seasonal mean temperature (SMT) experienced by each tree.
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Multiscale trends and precipitation extremes in the Central American Midsummer Drought

TL;DR: In this paper, the authors use a high resolution gridded precipitation dataset to investigate the apparent discrepancies and quantify the spatiotemporal complexities of the Central American Midsummer Drought (MSD) and detect spatially variable trends in MSD timing, the amount of rainy season precipitation, the number of consecutive and total dry days, and extreme wet events at the local scale.
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Freshwater stress on small island developing states: population projections and aridity changes at 1.5 and 2 °C

TL;DR: In this article, the authors apply a recently developed methodology that circumvents the GCM limitation of coarse resolution in order to project future changes in aridity on small island developing states (SIDS) and find that future population growth will dominate changes in projected freshwater stress especially toward the end of the century.
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An interpreted language implementation of the Vaganov–Shashkin tree-ring proxy system model

TL;DR: The re-implementation in a high level interpreted language, while sacrificing speed, provides opportunities to systematically evaluate model parameters, generate large ensembles of simulated tree-ring chronologies, and embed proxy system modeling within data assimilation approaches to climate reconstruction.