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Itr: A Computational Framework For Observational Science: Data Assimilation Methods And Their Application For Understanding North Atlantic Zooplankton Dynamics, Andrew J. Pershing
Itr: A Computational Framework For Observational Science: Data Assimilation Methods And Their Application For Understanding North Atlantic Zooplankton Dynamics, Andrew J. Pershing
University of Maine Office of Research Administration: Grant Reports
This project will develop a modular data assimilation system, investigate several algorithms to make data assimilation more efficient, and will apply this system to investigate zooplankton dynamics in the North Atlantic. The goal of data assimilation is to find the value of the control variables (typically, the initial conditions or boundary conditions or model parameters) producing the best agreement between the model and the data. A data assimilation system consists of a forward model representing known dynamics. This model is integrated and the deviation between its predictions and available observations are quantified by a cost function. An adjoint model, representing …