Paleo-reconstructed net basin supply scenarios and their effect on lake levels in the upper great lakes
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Paleo-reconstructed hydrologic records offer the potential to evaluate water resources system performance under conditions that may be more extreme than seen in the historical record. This study uses a stochastic simulation framework consisting of a non-homogeneous Markov chain model (NHMM) to simulate the climate state using Palmer Drought Severity Index (PDSI)-reconstructed data, and K-nearest neighbor (K-NN) to resample observational net basin supply magnitudes for the Great Lakes of North America. The method was applied to generate 500 plausible simulations, each with 100 years of monthly net basin supply for the Upper Great Lakes, to place the observed data into a longer temporal context. The range of net basin supply sequences represents what may have occurred in the past 1,000 years and which can occur in future. The approach was used in evaluation of operational plans for regulation of Lake Superior outflows with implications for lake levels of Superior, Michigan, Huron and Erie, and their interconnecting rivers. The simulations generally preserved the statistics of the observed record while providing new variability statistics. The framework produced a variety of high and low net basin supply sequences that provide a broader estimate of the likelihood of extreme lake levels and their persistence than with the historical record. The method does not rely on parametrically generated net basin supply values unlike parametric stochastic simulation techniques, yet still generates new variability through the incorporation of the paleo-record. The process described here generated new scenarios that are plausible based on the paleo and historic record. The evaluation of Upper Great Lakes regulation plans, subject to these scenarios, was used to evaluate robustness of the regulation plans. While the uncertain future climate cannot be predicted, one can evaluate system performance on a wide range of plausible climate scenarios.
KeywordsGreat Lake Lake Level Palmer Drought Severity Index Glacial Isostatic Adjustment International Joint Commission
This work was supported by a research contract from the Institute of Water Resources, US Army Corps of Engineers, as a contribution to the International Upper Great Lakes Study. The authors thank David Fay, Bill Werick, Wendy Leger and Eugene Stakhiv for making this work possible. The authors also wish to thank the anonymous reviewers who made this work better through their constructive criticism.
- Chiew F, Srikanthan R, Frost A, Payne E (2005) Reliability of daily and annual stochastic rainfall data generated from different data lengths and data characteristics:1223–1229Google Scholar
- Clark MP, Gangopadhyay S, Brandon D, Werner K, Hay L, Rajagopalan B, Yates D (2004) A resampling procedure for generating conditioned daily weather sequences. Water Resour Res 40:W04304Google Scholar
- Fagherazzi L, Guay R, Sparks D, Salas J, Sveinsson O (2005) Stochastic Modeling and Simulation of the Great Lakes-St Lawrence River System. Report prepared for the Lakes. Ontario - St. Lawrence River Study of the International Joint Commission, Ottawa and WashingtonGoogle Scholar
- Fagherazzi L (2011) Stochastic Modeling and Simulation of the Great Lakes System. Report prepared for the International Upper Great Lakes Study of the International Joint. Commission, Ottawa and WashingtonGoogle Scholar
- Gauthier R (2007) Changing Great Lakes Hydrology and Hydraulics. Great Lakes Water Commission, Ottawa and WashingtonGoogle Scholar
- International Great Lakes Levels Board (1973) Regulation of Great Lakes water levels : Report to the International Joint Commission. International Great Lakes Levels Board. Ottawa, CanadaGoogle Scholar
- IUGLS (2012) Lake Superior Regulation: Addressing Uncertainty in Upper Great Lakes Water Levels. Report to the International Joint Commission. International Great Lakes Levels Board, OttawaGoogle Scholar
- Moody P, Brown C (2012) Modeling stakeholder-defined climate risk on the Upper Great Lakes. Water Resour Res 48:W10524Google Scholar
- Neff BP, Nicholas JR, Great Lakes Commission., Geological Survey (U.S.) (2005) Uncertainty in the Great Lakes water balance. In: U.S. Dept. of the Interior, U.S. Geological Survey. WashingtonGoogle Scholar
- Prairie J, Nowak K, Rajagopalan B, Lall U, Fulp T (2008) A stochastic nonparametric approach for streamflow generation combining observational and pale reconstructed data. Water Resour Res 44Google Scholar
- Wiles GC, Krawiec AC, D’Arrigo RD (2009) A 265‐year reconstruction of Lake Erie water levels based on North Pacific tree rings. Geophys Res Lett 36(5)Google Scholar