@article{(Open Science Index):https://publications.waset.org/pdf/10001177,
	  title     = {Satellite Rainfall Prediction Techniques - A State of the Art Review},
	  author    = {S. Sarumathi and  N. Shanthi and  S. Vidhya},
	  country	= {},
	  institution	= {},
	  abstract     = {In the present world, predicting rainfall is considered
to be an essential and also a challenging task. Normally, the climate
and rainfall are presumed to have non-linear as well as intricate
phenomena. For predicting accurate rainfall, we necessitate advanced
computer modeling and simulation. When there is an enhanced
understanding of the spatial and temporal distribution of precipitation
then it becomes enrichment to applications such as hydrologic,
climatic and ecological. Conversely, there may be some kind of
challenges occur in the community due to some application which
results in the absence of consistent precipitation observation in
remote and also emerging region. This survey paper provides a
multifarious collection of methodologies which are epitomized by
various researchers for predicting the rainfall. It also gives
information about some technique to forecast rainfall, which is
appropriate to all methods like numerical, traditional and statistical.
},
	    journal   = {International Journal of Aerospace and Mechanical Engineering},
	  volume    = {9},
	  number    = {2},
	  year      = {2015},
	  pages     = {144 - 151},
	  ee        = {https://publications.waset.org/pdf/10001177},
	  url   	= {https://publications.waset.org/vol/98},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 98, 2015},
	}