The University of Arizona
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Data Assimilation for Estimating the Past and Future Ocean State: Reanalysis, State Estimation, and Forecasting.

TRIPODS Seminar

Data Assimilation for Estimating the Past and Future Ocean State: Reanalysis, State Estimation, and Forecasting.
Series: TRIPODS Seminar
Location: ENR2 S215
Presenter: Matthew Mazloff, Scripps Institution of Oceanography

Ocean models and observations are combined to produce estimates of the past and future ocean. I will discuss how these models and data are synthesized, highlighting issues faced in the ocean optimization problem. A case study in the Tropical Pacific Ocean is used to demonstrate the skill of modern ocean numerical models, and how the realism of represented physics determines which oceanic processes can
be considered deterministic as opposed to stochastic. The work
highlights the promise of extending weather forecast skill with
coupled ocean-atmosphere models.

(Pizza, coffee & tea will be provided at 11:20am)