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[28-Feb-2022] This session invites submissions of adjoint model applications to studying the ocean so as to explore the widening range of these investigations. Contributions are sought from all disciplines of oceanography as well as studies concerning computational aspects of model adjoints. View Part 2 of this session » Location: Ocean Sciences Meeting 2022
Time: 3:30 PM | Date: 28-Feb-2022 | Room: 17
Lead Organizer: Ichiro Fukumori
Add to Outlook | Google | iCal Adjoint models provide computationally efficient means to evaluate sensitivity of modeled quantities with respect to other variables, such as forcing, boundary conditions, parameters, and state. While best known as a tool in data assimilation and state estimation, i.e., adjoint method or 4d-VAR, adjoint models are increasingly employed in other subject areas as well, especially as a tool to investigate the workings of the ocean that can be difficult to conduct otherwise. Examples include sensitivity studies, attribution and identification of causal mechanisms, uncertainty quantification, and observing system design. This session invites submissions of adjoint model applications to studying the ocean so as to explore the widening range of these investigations. Contributions are sought from all disciplines of oceanography as well as studies concerning computational aspects of model adjoints.