MASSACHUSETTS INSTITUTE OF TECHNOLOGY
Department of Civil and Environmental Engineering



Background


Environmental models increasing in size and complexity




In many nonlinear problems (e.g. climate, atmospheric, oceanographic analysis,
subsurface transport, etc.) small-scale variability can have large scale consequences
This creates need to resolve large range of time and space scales (fine grids, extensive
coverage)
Data sets are also increasing in size and diversity (new in situ and remote sensing instruments,
better communications, etc.).