@article{(Open Science Index):https://publications.waset.org/pdf/7092,
	  title     = {Performance Assessment of Computational Gridon Weather Indices from HOAPS Data},
	  author    = {Madhuri Bhavsar and  Anupam K Singh and  Shrikant Pradhan},
	  country	= {},
	  institution	= {},
	  abstract     = {Long term rainfall analysis and prediction is a
challenging task especially in the modern world where the impact of
global warming is creating complications in environmental issues.
These factors which are data intensive require high performance
computational modeling for accurate prediction. This research paper
describes a prototype which is designed and developed on grid
environment using a number of coupled software infrastructural
building blocks. This grid enabled system provides the demanding
computational power, efficiency, resources, user-friendly interface,
secured job submission and high throughput. The results obtained
using sequential execution and grid enabled execution shows that
computational performance has enhanced among 36% to 75%, for
decade of climate parameters. Large variation in performance can be
attributed to varying degree of computational resources available for
job execution.
Grid Computing enables the dynamic runtime selection, sharing
and aggregation of distributed and autonomous resources which plays
an important role not only in business, but also in scientific
implications and social surroundings. This research paper attempts to
explore the grid enabled computing capabilities on weather indices
from HOAPS data for climate impact modeling and change
detection.},
	    journal   = {International Journal of Civil and Environmental Engineering},
	  volume    = {2},
	  number    = {6},
	  year      = {2008},
	  pages     = {114 - 120},
	  ee        = {https://publications.waset.org/pdf/7092},
	  url   	= {https://publications.waset.org/vol/18},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 18, 2008},
	}