Placing modern droughts in historical context in the Ohio Valley using tree-rings

Matheus, Trevis J.; Maxwell, Justin T.

doi:10.1080/02723646.2018.1426166

Cited by 4 publications

(1 citation statement)

References 32 publications

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“…He found that trees within the Great Lakes region, which correlate well with net basin supply (Brinkmann, 1987; combined over‐lake precipitation, lake evaporation, and runoff into the lake) were insufficiently sensitive to reconstruct lake level fluctuations and thus suggested leveraging data from other areas that have strong climate teleconnections with the Great Lakes region. The use of existing tree‐ring series from forests growing in the Great Lakes basins still do not appear to be robust enough for lake level reconstructions, although efforts are underway to improve this (Larson & Rawling, 2016; Matheus & Maxwell, 2018).…”

Section: Introductionmentioning

confidence: 99%

A 420‐Year Perspective on Winter Lake Erie Levels

Wiles

Devereux

Gaglioti

et al. 2023

Geophysical Research Letters

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Here, we present a 420‐year‐long winter lake level reconstruction for Lake Erie based primarily on temperature‐sensitive tree‐ring chronologies from Alaska, Oregon, and California. This well‐verified model explains more than 51% of the variance in winter lake levels over a 131‐year calibration period (1860–1990) and shows strong decadal fluctuations related to changes in sea surface temperatures in the North Pacific and the North Atlantic, which alternate in terms of their relative influence. Decadal variability is superimposed on a persistent secular lake level rise that began in the mid‐1900s coinciding with a growing influence of the Atlantic sector. In the context of the last 420 years, the instrumental period experienced extreme lake levels, with the lowest over the entire record during the Dustbowl and the highest in 2020. Fluctuations in Lake Erie water levels are primarily determined by climate, and their variability greatly impacts the region's infrastructure and ecosystems.

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Section: Introductionmentioning

confidence: 99%