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Modeling Seasonality of Rainfall by Nonlinear curve Fitting to Monthly Rainfall Time Series of Jorhat

by Gouri Goutam Borthakur, Sudeepta Pran Baruah
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 149 - Number 9
Year of Publication: 2016
Authors: Gouri Goutam Borthakur, Sudeepta Pran Baruah
10.5120/ijca2016911440

Gouri Goutam Borthakur, Sudeepta Pran Baruah . Modeling Seasonality of Rainfall by Nonlinear curve Fitting to Monthly Rainfall Time Series of Jorhat. International Journal of Computer Applications. 149, 9 ( Sep 2016), 6-13. DOI=10.5120/ijca2016911440

@article{ 10.5120/ijca2016911440,
author = { Gouri Goutam Borthakur, Sudeepta Pran Baruah },
title = { Modeling Seasonality of Rainfall by Nonlinear curve Fitting to Monthly Rainfall Time Series of Jorhat },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2016 },
volume = { 149 },
number = { 9 },
month = { Sep },
year = { 2016 },
issn = { 0975-8887 },
pages = { 6-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume149/number9/26023-2016911440/ },
doi = { 10.5120/ijca2016911440 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:54:16.611339+05:30
%A Gouri Goutam Borthakur
%A Sudeepta Pran Baruah
%T Modeling Seasonality of Rainfall by Nonlinear curve Fitting to Monthly Rainfall Time Series of Jorhat
%J International Journal of Computer Applications
%@ 0975-8887
%V 149
%N 9
%P 6-13
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, an attempt to model the temporal variability of rainfall is made by performing a time series analysis on the monthly rainfall data of Jorhat from 1994 to 2013 (excluding 2003). The monthly rainfall time series showed seasonality with a prominent frequency of 0.083 cycles per year. A curve fitting technique by nonlinear regression on the original rainfall time series and on the resulting regular residuals of the subsequent fits is performed to model the seasonality of the rainfall. The selected model is capable of showing the same seasonality and frequency of rainfall variability as that of the original rainfall time series. The selected model has the potentiality to be replicated to model rainfall in places showing similar seasonality as that of the present case.

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Index Terms

Computer Science
Information Sciences

Keywords

monthly rainfall time series seasonality curve fitting nonlinear regression Jorhat.

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