کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6410717 | 1332885 | 2015 | 7 صفحه PDF | دانلود رایگان |
- We model the Great Salt Lake level using 576Â years of tree-ring data.
- The tree-ring reconstruction of lake level captures multidecadal cycles.
- The forecast that combines the tree-ring data outperformed those that do not.
- We produce a 5-year prediction that can assist in practical risk management.
SummaryPredicting lake level fluctuations of the Great Salt Lake (GSL) in Utah - the largest terminal salt-water lake in the Western Hemisphere - is critical from many perspectives. The GSL integrates both climate and hydrological variations within the region and is particularly sensitive to low-frequency climate cycles. Since most hydroclimate variable records cover less than a century, forecasting the predominant yet under-represented decadal variability of the GSL level with such relatively short instrumental records poses a challenge. To overcome data limitations, this study assesses two options: (1) developing a model using the observational GSL elevation record of 137Â years to predict itself; (2) incorporating the recently reconstructed GSL elevation that utilized 576Â years worth of tree-ring records into the predictive model. It was found that the statistical models that combined the tree-ring reconstructed data with the observed data outperformed those that did not, in terms of reducing the root mean squared errors. Such predictive models can serve as a means toward practical water risk management.
Journal: Journal of Hydrology - Volume 529, Part 3, October 2015, Pages 962-968