alexa Investigating An Association Between Sunspot Numbers And Summer-monsoon Rainfall In India
ISSN: 2157-7587

Hydrology: Current Research
Open Access

Like us on:
OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Share This Page

Additional Info

Loading Please wait..

3rd International Conference on Hydrology & Meteorology
September 15-16, 2014 Hyderabad International Convention Centre, India

Surajit Chattopadhyay
ScientificTracks Abstracts: Hydrol Current Res
DOI: 10.4172/2157-7587.S1.012
The sunspot number (SN) is well correlated with 10.7 cm solar flux, a quantity measured by remote sensing techniques. Quite a handful of research works are available where remote sensing technique has been used to investigate various aspects of sunspot. The SN time series provides the longest existing record of solar activity, and is thus the best available data set for studying the long-term evolution of solar activity and, in particular, of the 11-year activity cycle. The present study reports an investigation on the association between the mean annual sunspot numbers and the summer-monsoon rainfall in India by the implementation of artificial neural network. We have studied cross correlations. After Box-Cox transformation, the time spectral analysis has been executed and it has been found that both of the time series have an important spectrum at the fifth harmonic. An artificial neural network (ANN) model has been developed on the data series averaged continuously by five years and the neural network could establish a predictor-predict and relationship between the sunspot numbers and the mean yearly summer-monsoon rainfall in India. Hence, the study revealed that by the implementation of artificial neural network average of five years sunspot numbers can give a good estimate for five years averaged summer-monsoon rainfall in India. In future, further studies may be carried out to make a yearly prediction of summer-monsoon rainfall based on yearly mean sunspot numbers.
Surajit Chattopadhyay completed his PhD in Mathematics from Indian Institute of Engineering Science & Technology (IIEST), Shibpur in 2010. He is an Associate Professor of Mathematics in Pailan College of Management and Technology, Kolkata and a Visiting Associate of IUCAA, Pune and IMSc, Chennai. His research area encompasses cosmology and statistical modeling of complex geophysical processes. Till date, he has 31 papers in geophysical processes and 58 papers in cosmology. He has published in journals like Theoretical and Appl. Climatology, Meteorological Applications, Journal of Hydroinformatics, Pure and Applied Geophysics, Acta Geophysica etc. His Google-scholar H-index is 14.
image PDF   |   image HTML
Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version