DocumentCode
229477
Title
Computer technology for short-term prediction of sea level anomalies spatial distribution in the arctic
Author
Zaporozhtsev, I.F. ; Sereda, V.I.
Author_Institution
Murmansk State Tech. Univ., Murmansk, Russia
fYear
2014
fDate
June 30 2014-July 4 2014
Firstpage
211
Lastpage
212
Abstract
Computer technology for sea level anomalies prediction is developed for gridded regularly obtained satellite measured data as input. It is based on multivariate time series analysis, clusterization techniques and linear algebra numerical methods. It is certain to be interesting in oceanology, fishery, gas-and-oil producing industry in the Arctic region.
Keywords
geophysics computing; linear algebra; pattern clustering; sea level; time series; Arctic region; clusterization techniques; computer technology; fishery; gas-and-oil producing industry; linear algebra numerical methods; multivariate time series analysis; oceanology; satellite measured data; short-term sea level anomaly prediction; spatial distribution; Approximation methods; Arctic; Distribution functions; Graphical models; Predictive models; Sea level; Time series analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Technologies in Physical and Engineering Applications (ICCTPEA), 2014 International Conference on
Conference_Location
St. Petersburg
Print_ISBN
978-1-4799-5315-8
Type
conf
DOI
10.1109/ICCTPEA.2014.6893365
Filename
6893365
Link To Document