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The association between climate teleconnection indices and Upper Klamath seasonal streamflow: Trans‐Niño Index
Author(s) -
Kennedy Adam M.,
Garen David C.,
Koch Roy W.
Publication year - 2009
Publication title -
hydrological processes
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.222
H-Index - 161
eISSN - 1099-1085
pISSN - 0885-6087
DOI - 10.1002/hyp.7200
Subject(s) - streamflow , teleconnection , climatology , pacific decadal oscillation , environmental science , drainage basin , north atlantic oscillation , precipitation , structural basin , geology , sea surface temperature , geography , el niño southern oscillation , meteorology , cartography , paleontology
Abstract This research investigates large‐scale climate features affecting inter‐annual hydrologic variability of streams flowing into Upper Klamath Lake (UKL), Oregon, USA. UKL is an arid, mountainous basin located in the rain shadow east of the crest of the Cascade Mountains in the northwestern United States. Developing accurate statistical models for predicting spring and summer seasonal streamflow volumes for UKL is difficult because the basin has complex hydrology and a high degree of topographic and climatologic variability. In an effort to reduce streamflow forecast uncertainty, six large‐scale climate indices—the Pacific North American Pattern, Southern Oscillation Index, Pacific Decadal Oscillation (PDO), Multivariate El Niño‐Southern Oscillation Index, Niño 3·4, and a revised Trans‐Niño Index (TNI)—were evaluated for their ability to explain inter‐annual variation of the major hydrologic inputs into UKL. The TNI is the only index to show significant correlations during the current warm phase of the PDO. During the warm PDO phase (1978–present), the averaged October through December TNI is strongly correlated with the subsequent April through September streamflow ( r = 0·7) and 1 April snow water equivalent ( r = 0·6). Regional analysis shows that this climate signal is not limited to UKL but is found throughout the northwestern United States. Incorporating the TNI variable into statistical streamflow prediction models results in standard errors of forecasts issued on the first of February and earlier that are 7–10% smaller than those for the models without the TNI. This, coupled with other enhancements to the statistical models, offers a significant increment of improvement in forecasts used by water managers. Copyright © 2009 John Wiley & Sons, Ltd.