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Outgoing Long wave Radiation Prediction Using Dynamic Mode Decomposition

Publication Type : Conference Paper

Publisher : International Journal of Engineering and Technology(UAE) .

Source : International Journal of Engineering and Technology(UAE), Volume 7, p.986-989 (2018)

Campus : Coimbatore

School : School of Engineering

Center : Computational Engineering and Networking

Department : Center for Computational Engineering and Networking (CEN)

Year : 2018

Abstract : Weather prediction is a very tedious process since lot of factors affect it and because of that it is very non-linear in nature. Many research works have shown that the Outgoing Longwave Radiation (OLR) has a very concrete linear relation with many weather parameters includ-ing rainfall and it is one of the key factor in determining the global energy budget. In this work we are predicting the global surface OLR by using past OLR data and loading it onto Dynamic Mode Decomposition (DMD) algorithm. The DMD is a technique which uses data driv-en dimensionality reduction approach for extracting dynamically relevant features which uses time-resolved numerical data for prediction and analysis.

Cite this Research Publication : V. Abhijith, Dr. Geetha Srikanth, Kp, S., and R, V., “Outgoing Long wave Radiation Prediction Using Dynamic Mode Decomposition”, International Journal of Engineering and Technology(UAE), vol. 7, pp. 986-989, 2018.

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