@article{(Open Science Index):https://publications.waset.org/pdf/10003050,
	  title     = {Development of a Wind Resource Assessment Framework Using Weather Research and Forecasting (WRF) Model, Python Scripting and Geographic Information Systems},
	  author    = {Jerome T. Tolentino and  Ma. Victoria Rejuso and  Jara Kaye Villanueva and  Loureal Camille Inocencio and  Ma. Rosario Concepcion O. Ang},
	  country	= {},
	  institution	= {},
	  abstract     = {Wind energy is rapidly emerging as the primary
source of electricity in the Philippines, although developing an
accurate wind resource model is difficult. In this study, Weather
Research and Forecasting (WRF) Model, an open source mesoscale
Numerical Weather Prediction (NWP) model, was used to produce a
1-year atmospheric simulation with 4 km resolution on the Ilocos
Region of the Philippines. The WRF output (netCDF) extracts the
annual mean wind speed data using a Python-based Graphical User
Interface. Lastly, wind resource assessment was produced using a
GIS software. Results of the study showed that it is more flexible to
use Python scripts than using other post-processing tools in dealing
with netCDF files. Using WRF Model, Python, and Geographic
Information Systems, a reliable wind resource map is produced.},
	    journal   = {International Journal of Computer and Systems Engineering},
	  volume    = {9},
	  number    = {12},
	  year      = {2015},
	  pages     = {1348 - 1351},
	  ee        = {https://publications.waset.org/pdf/10003050},
	  url   	= {https://publications.waset.org/vol/108},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 108, 2015},
	}