Abstract
Low‐frequency (interannual or longer period) climatic variability is of interest because of its significance for the understanding and prediction of protracted climatic anomalies. Closed basin lakes are sensitive to long‐term climatic fluctuations and integrate out high‐frequency variability. It is thus natural to examine the records of such lakes to better understand long‐term climate dynamics. Here we use singular spectral analysis and multitaper spectral analysis to analyze the time series of Great Salt Lake (GSL) monthly volume change from 1848 to 1992 and monthly precipitation, temperature, and streamflow for nearby stations with 74 or more years of data. This analysis reveals high fractional variance in 15–18, 10–12, 3–7 and 2‐year frequency bands, which seems to be consistent across time series. The putative decadal and interdecadal signals appear to be related to large‐scale climate signals. The interannual signals are consistent with El Nino Southern Oscillation and quasi‐biennial variability. Prospects for improved prediction of the GSL volume and of protracted wet/dry periods in the western United States are discussed.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 2503-2515 |
| Number of pages | 13 |
| Journal | Water Resources Research |
| Volume | 31 |
| Issue number | 10 |
| DOIs | |
| State | Published - Oct 1995 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 13 Climate Action
All Science Journal Classification (ASJC) codes
- Water Science and Technology
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