Ensemble Canonical Correlation Prediction of Surface Temperature over the United States

@inproceedings{Mo2003EnsembleCC,
  title={Ensemble Canonical Correlation Prediction of Surface Temperature over the United States},
  author={Kingtse C. Mo},
  year={2003}
}
Abstract The ensemble canonical correlation (ECC) prediction method is used to predict summer (July–September) and winter (January–March) seasonal mean surface temperature (Tsurf) over the United States. The predictors are the global sea surface temperature (SST), sea level pressure over the Northern Hemisphere Tsurf, and soil moisture over the United States from one to two seasons lead, as well as the model outputs from the NCEP seasonal forecast model. The canonical correlation analysis (CCA… CONTINUE READING