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
fDate :
June 30 2014-July 4 2014
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;
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
DOI :
10.1109/ICCTPEA.2014.6893365
