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A Comprehensive Review of Numerical Weather Prediction Models

by Rashi Aggarwal, Rajendra Kumar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 74 - Number 18
Year of Publication: 2013
Authors: Rashi Aggarwal, Rajendra Kumar
10.5120/12989-0246

Rashi Aggarwal, Rajendra Kumar . A Comprehensive Review of Numerical Weather Prediction Models. International Journal of Computer Applications. 74, 18 ( July 2013), 44-48. DOI=10.5120/12989-0246

@article{ 10.5120/12989-0246,
author = { Rashi Aggarwal, Rajendra Kumar },
title = { A Comprehensive Review of Numerical Weather Prediction Models },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 74 },
number = { 18 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 44-48 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume74/number18/12989-0246/ },
doi = { 10.5120/12989-0246 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:42:41.047811+05:30
%A Rashi Aggarwal
%A Rajendra Kumar
%T A Comprehensive Review of Numerical Weather Prediction Models
%J International Journal of Computer Applications
%@ 0975-8887
%V 74
%N 18
%P 44-48
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Weather forecasting has been an area of considerable interest among researchers since long. In particular, precipitation has been found to be interesting because of its chaotic nature and also because of the direct impact it has on the society. Even after the invention of complex Coupled Numerical Weather Prediction Models, the errors in prediction have been found to be of significant magnitude. The present study aims at investigating all the aspects of error dynamics in dynamic and statistical predictions, and reviews these two prediction models on the basis of errors arising due to initial conditions and understanding of physical processes generating with time series.

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Index Terms

Computer Science
Information Sciences

Keywords

Artificial Neural Networks weather forecasting time series analysis

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