Data Assimilation for Modeling and Predicting Multiscale Coupled Physical-Biological Interactions in the Sea

Monday, April 29, 2002 - 11:15am - 12:00pm
Keller 3-180
Allan Robinson (Harvard University)
Joint work with P.F.J. Lermusiaux.

Data assimilation is now being extended to interdisciplinary oceanography from physical oceanography which has derived and extended methodologies from meteorology and engineering for over a decade and a half. There is considerable potential for data assimilation to contribute powerfully to understanding, modeling and predicting biological-physical interactions in the sea over the multiple scales in time and space involved. However, the complexity and scope of the problem will require substantial computational resources, adequate data sets, biological model developments and dedicated novel assimilation algorithms. Interdisciplinary interactive processes, multiple temporal and spatial scales, data and models of varied accuracies and simple to complex methods are discussed. The powerful potential of dedicated compatible data sets is emphasized. Assimilation concepts and research issues are overviewed and illustrated for both deep sea and coastal regions. Progress and prospectus in the areas of parameter estimation, field estimation, models, data, errors and system evaluation are also summarized.