Basis for Extending Long-Term Streamflow Forecasts in the Colorado River Basin

被引:15
|
作者
Lamb, Kenneth W. [1 ,2 ]
Piechota, Thomas C. [1 ]
Aziz, Oubeidillah A. [3 ]
Tootle, Glenn A. [3 ]
机构
[1] Univ Nevada, Dept Civil & Environm Engn, Las Vegas, NV 89154 USA
[2] Cal Poly Univ, Dept Civil Engn, Pomona, CA 91767 USA
[3] Univ Tennessee, Dept Civil & Environm Engn, Knoxville, TN 37996 USA
基金
美国国家科学基金会;
关键词
Streamflow; Forecasting; Water supply; Sea surface temperatures; Climate; Colorado River; Singular value decomposition; Rank sum; SEA-SURFACE TEMPERATURES; EL-NINO; WINTER CLIMATE; UNITED-STATES; JET-STREAM; PACIFIC; VARIABILITY; TELECONNECTIONS; PATTERNS; PRECIPITATION;
D O I
10.1061/(ASCE)HE.1943-5584.0000153
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The National Weather Service (NWS) maintains a collection of computer models used to perform various functions for managing the rivers of the United States. One function of the NWS's river forecast centers is to provide long-term resource forecasts for the main river basins in the United States. By using singular value decomposition (SVD) analysis, the research presented here identifies a new sea surface temperature (SST) index which demonstrates significant, long-lead covariance with streamflow in the Colorado River Basin. This index is compared with other existing climate indices by using the nonparametric rank sum test and by also using the index in a forecasting scenario. DOI: 10.1061/(ASCE)HE.1943-5584.0000153. (C) 2011 American Society of Civil Engineers.
引用
收藏
页码:1000 / 1008
页数:9
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