Environmental Modeling and Prediction

Quantitative analysis of marine and atmospheric systems is an important part of SoMAS research. Our faculty are involved in a diversity of research efforts that employ modeling and other quantitative tools to better understand and predict oceanographic, atmospheric and ecological processes. By combining mathematical models and empirical data, SoMAS faculty gain insight into the causes and consequences of natural phenomena and human disturbances. Here are a few examples of current quantitative research at SoMAS:

Understanding the causes and consequences large-scale oceanographic phenomena

Role of oceanic processes on global carbon cycles

Evaluating mechanisms of climate change

Exploring the impact of physical circulation and oceanographic features on biological resources

Assessing anthropogenic impacts on food web dynamics

Predicing regional weather from meso-scale models

Participating Faculty: 

Atmospheric

Physical / Chemical

Biological:

Page last modified on Friday, June 29, 2007 by George E. Carroll