Journal of Water Resource and Protection

Vol.7 No.3(2015), Paper ID 54149, 12 pages

DOI:10.4236/jwarp.2015.73016

 

Identification of Influential Sea Surface Temperature Locations and Predicting Streamflow for Six Months Using Bayesian Machine Learning Regression

 

N. K. Shrestha, G. Urroz

 

Department of Agricultural and Biological Engineering, University of Florida, Immokalee, USA
Department of Civil and Environmental Engineering, Utah State University, Logan, USA

 

Copyright © 2015 N. K. Shrestha, G. Urroz et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

How to Cite this Article


Shrestha, N. and Urroz, G. (2015) Identification of Influential Sea Surface Temperature Locations and Predicting Streamflow for Six Months Using Bayesian Machine Learning Regression. Journal of Water Resource and Protection, 7, 197-208. doi: 10.4236/jwarp.2015.73016.

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