The Impact of Melting Ice on the Ecosystems in Greenland Sea: Correlations on Ice Cover, Phytoplankton Biomass, Aod and Par

ISBN-13: 9783642544972 / Angielski / Miękka / 2014 / 86 str.

Bo Qu

Opis

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.

Spis treści

Overview Greenland Sea.- Chlorophyll-a, Ice Cover and North Atlantic Oscillation.- Aerosol Optical Depth, Ice Cover and Cloud Cover.- Photosynthetically Active Radiation, Ice Cover and Sea Surface Temperature.- Predictions of Chlorophyll-a, Aerosol Optical Depth and Photosynthetically Active Radiation.- Conclusions and Discussion.

O autorze

Dr. Bo Qu (Ph D. from Napier University in 1999 in Edinburgh),  Associate Professor works in School of Science, Nantong University, China. Her PhD research was the use of fractional Brownian motion in the modelling of the dispersion of contaminants in fluids. After half year’s work in Queen’s University of Belfast on Irish Sea Modeling, she went to Hong Kong University, did hydraulic modeling for Hong Kong Coastal water, especially the 1998 Hong Kong massive red tidals research using Delft 3D. She then went to Griffith University, Brisbane, Australia did Environmental modeling especially on dimethylsulphide (DMS) research in Arctic Ocean. Her research interests including Polar Ecosystem research; DMS modelling especially on parameter calibrations using genetic algirithms; Hydraulic Modeling for coastal water and oceanic surface; Stochastic Modeling, especially particle tracking modeling using fractional Brownian motion.

Now she is undertaking the National Natural Science Funding Project to set up the environmental modeling in Arctic Ocean.