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

Citation data:

Journal of Hydrologic Engineering, ISSN: 1084-0699, Vol: 16, Issue: 12, Page: 1000-1008

Publication Year:
2011
Usage 183
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Citations 33
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Repository URL:
https://digitalscholarship.unlv.edu/fac_articles/59; https://digitalscholarship.unlv.edu/fac_articles/210; http://ezproxy.library.unlv.edu/login?url=http://dx.doi.org/10.1061/(ASCE)HE.1943-5584.0000153
DOI:
10.1061/(asce)he.1943-5584.0000153; 10.1061/(asce)he.1943-5584.0000154
Author(s):
Lamb, Kenneth W.; Piechota, Thomas C.; Aziz, Oubeidillah A.; Tootle, Glenn A.
Publisher(s):
American Society of Civil Engineers (ASCE)
Tags:
Environmental Science; Engineering; Climate; Colorado River; Forecasting; North America – Colorado River Watershed; Ocean temperature; Rank sum; Sea surface temperatures; SVD; Streamflow – Forecasting; Water supply – Forecasting; Climate; Climatology; Colorado River; Forecasting; Rank sum; Rivers; Rivers—Management; Sea surface temperatures; Singular value decomposition; Streamflow; Watersheds; Climate; Climatology; Colorado River; Forecasting; Rank sum; Rivers; Rivers—Management; Sea surface temperatures; Singular value decomposition; Streamflow; Watersheds; Civil and Environmental Engineering; Construction Engineering and Management; Environmental Engineering; Structural Engineering; North America – Colorado River Watershed; Ocean temperature; SVD; Streamflow – Forecasting; Water supply – Forecasting; Environmental Sciences; Other Oceanography and Atmospheric Sciences and Meteorology; Water Resource Management
article description
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. © 2011 American Society of Civil Engineers.