Streamflow Forecasting Using Singular Value Decomposition and Support Vector Machine for the Upper Rio Grande River Basin

The current study improves streamflow forecast lead‐time by coupling climate information in a data‐driven modeling framework. The spatial–temporal correlation between streamflow and oceanic–atmospheric variability represented by sea surface temperature (SST), 500‐mbar geopotential height (Z 500 ), 500‐mbar specific humidity (SH 500 ), and 500‐mbar east–west wind (U 500 ) of the Pacific and the Atlantic Ocean is obtained through singular value...