Computer technology for short-term prediction of sea level anomalies spatial distribution in the arctic

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.