Applications of Neural Network in Long Range Weather Forecasting: In the context of smaller geographical region (i.e., Chhattisgarh State, India) - Couverture souple

Karmakar, Sanjeev; Kowar, Manoj Kumar; Guhathakurta, Pulak

 
9783659266706: Applications of Neural Network in Long Range Weather Forecasting: In the context of smaller geographical region (i.e., Chhattisgarh State, India)
Couverture souple
ISBN 10 : 3659266701 ISBN 13 : 9783659266706
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

Long-range weather prediction over high-resolution geographical regions like districts or subdivisions is very complicated. it has been found that these statistical models are not satisfactory and it is impractical to study the highly non-linear relationships between climate and its predictors over the districts or subdivisions. We developed ANN model for long-range weather forecasting of smaller Indian region like districts and subdivision and spatial interpolation of mean climate variable. It has been observed that internal dynamics of meteorological time series data are easily identified by these models and have provided excellent results especially in pattern recognition and prediction. The capability of ANN model in spatial interpolation of mean climate variable of 102 raingauge stations of Chhattisgarh state has also been identified. The model in interpolation has produced excellent results, enforcing strong relation between dependent (climate variable), and independent variables (latitude, longitude, altitude). An application entitled AGRIMETCast has been developed deploying the outcome of the research. The entire development process and outcomes are presented in this book.

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Présentation de l'éditeur

Long-range weather prediction over high-resolution geographical regions like districts or subdivisions is very complicated. it has been found that these statistical models are not satisfactory and it is impractical to study the highly non-linear relationships between climate and its predictors over the districts or subdivisions. We developed ANN model for long-range weather forecasting of smaller Indian region like districts and subdivision and spatial interpolation of mean climate variable. It has been observed that internal dynamics of meteorological time series data are easily identified by these models and have provided excellent results especially in pattern recognition and prediction. The capability of ANN model in spatial interpolation of mean climate variable of 102 raingauge stations of Chhattisgarh state has also been identified. The model in interpolation has produced excellent results, enforcing strong relation between dependent (climate variable), and independent variables (latitude, longitude, altitude). An application entitled AGRIMETCast has been developed deploying the outcome of the research. The entire development process and outcomes are presented in this book.

Biographie de l'auteur

Associate Professor,Bhilai Institute of Technology,Durg,C.G.,India. Karmakar did B.Sc. MCA., PhD in Computer & Information Technology.He has published 60 papers in National/International Conferences/Journals. He has published 4 books. He is also IEEE reviewer, Editor, Subject Expert, PhD supervisor.Currently Four PhD scholars are working under him.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3659266701
ISBN 13 
9783659266706
Reliure
Broché
Nombre de pages
244
Coordonnées du fabricant
non disponible
Personne responsable
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