Predicting wind field in the Bay of Bengal from scatterometer observations using genetic algorithm

Details Predicting wind field in the Bay of Bengal from scatterometer observations using genetic algorithm Predicting wind field in the Bay of Bengal from scatterometer observations using genetic algorithm

Feb 2007

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007georl..3403603s&link_type=abstract

Geophysical Research Letters, Volume 34, Issue 3, CiteID L03603

Physics

Geophysics

1

Mathematical Geophysics: Time Series Analysis (1872, 4277, 4475), Atmospheric Processes: Remote Sensing, Oceanography: General: Ocean Observing Systems

Scientific paper

A technique based on genetic algorithm (GA) is applied for predicting wind field in the Bay of Bengal (BOB) using satellite scatterometer observations. Empirical orthogonal function (EOF) analysis is used for compressing the spatial variability into a set of eigenmodes. The time series of each principal component (PC) is subjected to singular spectrum analysis (SSA) and GA is applied to the resulting filtered time series. The forecast PCs are weighted by the spatial eigenmodes for computing forecast wind fields. Predictions made up to 5 days in advance are found to be superior to forecast by persistence method.

Affiliated with

Also associated with

No associations

Rating

Predicting wind field in the Bay of Bengal from scatterometer observations using genetic algorithm does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Predicting wind field in the Bay of Bengal from scatterometer observations using genetic algorithm, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Predicting wind field in the Bay of Bengal from scatterometer observations using genetic algorithm will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-739360