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

Document Type

Article

Publication Date

2011

Publication Title

Journal of Hydrologic Engineering

Volume

16

Issue

12

First page number:

1000

Last page number:

1008

Abstract

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 non-parametric rank sum test and by also using the index in a forecasting scenario.

Keywords

Climate; Climatology; Colorado River; Forecasting; Rank sum; Rivers; Rivers—Management; Sea surface temperatures; Singular value decomposition; Streamflow; Watersheds

Disciplines

Civil and Environmental Engineering | Construction Engineering and Management | Environmental Engineering | Structural Engineering

Language

English

Permissions

Use Find in Your Library, contact the author, or interlibrary loan to garner a copy of the item. Publisher policy does not allow archiving the final published version. If a post-print (author's peer-reviewed manuscript) is allowed and available, or publisher policy changes, the item will be deposited.

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