Data assimilation for modeling and predicting
multiscale coupled physical-biological dynamical interactions in the sea
Allan R. Robinson, Ph.D.
Tuesday, August 13, 2002
2:00 p.m.–Pacific Forum
Data assimilation is now being extended to interdisciplinary
oceanography from physical oceanography that 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 accuracy’s, and simple to complex
methods are discussed. The powerful potential of dedicated compatible data
sets is emphasized. Assimilation concepts and research issues are
overviewed for field estimation and parameter estimation. Illustrations
are presented for both deep sea and coastal regions, including results
from real-time forecasts in Massachusetts Bay, the Gulf of Maine and
elsewhere with the Harvard Ocean Prediction System (HOPS).
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