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Article
Feasibility of Multi-Year Forecast for the Colorado River Water Supply: Time Series Modeling
Water
  • Brian Plucinski, Utah State University
  • Yan Sun, Utah State University
  • Shih-Yu (Simon) Wang, Utah State University
  • Robert R. Gilies, Utah State University
  • James Eklund, State of Colorado's Colorado River Representative
  • Chih-Chia Wang, Central Weather Bureau
Document Type
Article
Publisher
MDPI AG
Publication Date
11-20-2019
Creative Commons License
Creative Commons Attribution 4.0
Disciplines
Abstract

The future of the Colorado River water supply (WS) affects millions of people and the US economy. A recent study suggested a cross-basin correlation between the Colorado River and its neighboring Great Salt Lake (GSL). Following that study, the feasibility of using the previously developed multi-year prediction of the GSL water level to forecast the Colorado River WS was tested. Time-series models were developed to predict the changes in WS out to 10 years. Regressive methods and the GSL water level data were used for the depiction of decadal variability of the Colorado River WS. Various time-series models suggest a decline in the 10-year averaged WS since 2013 before starting to increase around 2020. Comparison between this WS prediction and the WS projection published in a 2012 government report (derived from climate models) reveals a widened imbalance between supply and demand by 2020, a tendency that is confirmed by updated WS observation. Such information could aid in management decision-making in the face of near-future water shortages.

Citation Information
Plucinski, B.; Sun, Y.; Wang, S.-Y.S.; Gillies, R.R.; Eklund, J.; Wang, C.-C. Feasibility of Multi-Year Forecast for the Colorado River Water Supply: Time Series Modeling. Water 2019, 11, 2433.