4.4 Article

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

期刊

JOURNAL OF HYDROLOGIC ENGINEERING
卷 16, 期 12, 页码 1000-1008

出版社

ASCE-AMER SOC CIVIL ENGINEERS
DOI: 10.1061/(ASCE)HE.1943-5584.0000153

关键词

Streamflow; Forecasting; Water supply; Sea surface temperatures; Climate; Colorado River; Singular value decomposition; Rank sum

资金

  1. NOAA [NA070AR4310228]
  2. EPSCoR
  3. Office Of The Director [0814372] Funding Source: National Science Foundation

向作者/读者索取更多资源

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.

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