INTERNATIONAL SYMPOSIUM ON INFORMATION TECHNOLOGY IN OCEANOGRAPHY (ITO-98) GOA, INDIA 12-16 OCTOBER 1998

An efficient and accurate coastal zone monitoring and prediction system requires the integration of observations and numerical models. The integrated use of observations and models is best done using data assimilation methods, which in an optimal way merges the information about the dynamics contained in the model with the information about the current state of a system contained in a set of measurements. The observing system will have to consist of oceanic in-situ data, remotely sensed information, and observations of biochemical variables. The MIS proposed here is designed to access, store and manipulate the different data in-order to prepare them for easy integration in data assimilation models. Important design considerations of such an information system include, among others (1) downloading of real-time data from distributed sites, (2) pre-processing of data, including format and resolution conversion, inter/extrapolation and data quality checks, (3) efficient storage and retrieval of remote sensing, in-situ and simulated data, (4) data exchange with the numerical models, and (5) dissemination of analyses and predictions to end users.

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"to continously improve our understanding of the seas around us and to translate this knowledge to benefit all"

Copyright© National Institute Of Oceanography, Goa,India,1998
updated on 7th July'98