Using oceanic-atmospheric oscillations for long lead time streamflow forecasting

Water Resources Research

Volumn 45, Issue 3, 2009, Pages

  Kalra, Ajay ^a   Ahmad, Sajjad ^a  

^a UNIVERSITY OF NEVADA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATLANTIC MULTIDECADAL OSCILLATIONS; ATMOSPHERIC OSCILLATIONS; CLASSIFICATION ERRORS; COLORADO RIVER BASINS; CORRELATION COEFFICIENTS; COUPLED OSCILLATIONS; DATA-DRIVEN MODELS; EFFICIENCY COEFFICIENTS; FEED-FORWARD BACK PROPAGATION; GEOMETRIC MARGINS; GREEN RIVERS; HYPOTHESIS SPACES; KERNEL APPROACHES; LEAD-TIME; LINEAR FUNCTIONS; LONG LEADS; NAO INDICES; NORTH ATLANTIC OSCILLATIONS; PACIFIC DECADAL OSCILLATIONS; ROOT-MEANS-SQUARE ERRORS; SOUTHERN OSCILLATIONS; STATISTICAL LEARNING THEORIES; STREAM FLOW FORECASTING; STREAMFLOW FORECASTS; STREAMFLOW PREDICTIONS; STRONG SIGNALS; SVM MODELS; WESTERN UNITED STATES;

ARCTIC ENGINEERING; ATMOSPHERIC PRESSURE; BACKPROPAGATION; EDUCATION; INVERSE PROBLEMS; NEURAL NETWORKS; SENSITIVITY ANALYSIS; STREAM FLOW; WEATHER FORECASTING;

SUPPORT VECTOR MACHINES;

ARTIFICIAL NEURAL NETWORK; ATLANTIC MULTIDECADAL OSCILLATION; ATMOSPHERE-OCEAN COUPLING; CLASSIFICATION; EL NINO-SOUTHERN OSCILLATION; FORECASTING METHOD; HYDROLOGICAL MODELING; NORTH ATLANTIC OSCILLATION; OSCILLATION; PACIFIC DECADAL OSCILLATION; SENSITIVITY ANALYSIS; STATISTICAL ANALYSIS; STREAMFLOW;

ARIZONA; GREEN RIVER; LEES FERRY; NORTH AMERICA; UNITED STATES;

COREGONUS ARTEDI;

EID: 65349101737     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2008WR006855     Document Type: Article

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