Arctic marine ecosystems are largely impacted by changes associated with global warming. The
sea ice in Greenland Sea plays an important role in regional and global climate system. The
book investigate the relationships between phytoplankton biomass measured using remotely
sensed chlorophyll-a (CHL) aerosol optical depth (AOD) and sea-ice cover (ICE) in the
Greenland Sea (20°W-10°E 65-85°N) over the period 2003-2012. First hand Satellite data was
used to do correlation analysis. Enhanced statistics methods such as lag regression method and
cointegration analysis method are used for correlation and regression analysis between 2
variables (up to 3 variables). ARMA model was used to prediction time series in the future 3
years. The book not only gives outline of ecosystem in Greenland Sea how the ice impact to the
local ecosystems but also provides valuable statistical methods on analysis correlations and
predicting the future ecosystems.
