Premium
Ocean surface wind prediction in the north Indian Ocean from in situ and satellite observations using genetic algorithm
Author(s) -
Basu Sujit,
Satheesan K.,
Sarkar Abhijit,
Kishtawal C. M.
Publication year - 2005
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/2005gl024827
Subject(s) - scatterometer , satellite , meteorology , climatology , in situ , genetic algorithm , indian ocean , autoregressive model , environmental science , wind speed , sea surface temperature , surface (topology) , remote sensing , algorithm , geology , oceanography , computer science , mathematics , geography , econometrics , machine learning , aerospace engineering , engineering , geometry
Possibility of predicting surface wind speed in the north Indian Ocean from in situ observations and surface wind components from satellite scatterometer observations using an approach based on genetic algorithm (GA) has been demonstrated in this work. The approach, unlike other prediction methods, provides explicit analytical forecast equation. Predictions made up to 3 days in advance have been found to be significantly superior to those made by persistence and autoregressive techniques.