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UID:submissions.supercomputing.org_SC20_sess297_inv109@linklings.com
SUMMARY:Augmenting a Sea of Data with Dynamics: The Global Ocean State Est
 imation Problem
DESCRIPTION:Invited Talk\n\nAugmenting a Sea of Data with Dynamics: The Gl
 obal Ocean State Estimation Problem\n\nHeimbach\n\nClimate change is funda
 mentally ocean change. The ocean absorbs more than 90% of the Earth’
 s radiative imbalance and about 30% of anthropogenic CO_2 emissions, leadi
 ng to ocean warming and acidification. Because of the formidable challenge
  of observing the full-depth global ocean circulation in its spatial detai
 l and the many time scales of oceanic motions, numerical simulations play 
 an essential role in quantifying patterns of climate variability and chang
 e. For the same reason, predictive capabilities are confounded by the high
 -dimensional space of uncertain inputs required to perform such simulation
 s (initial conditions, model parameters and external forcings). Inverse me
 thods optimally extract and blend information from observations and models
 . Parameter and state estimation, in particular, enable rigorously calibra
 ted and initialized predictive models to optimally learn from sparse, hete
 rogeneous data while satisfying fundamental equations of motion. A key ena
 bling computational approach is the use of adjoint methods for solving a n
 onlinear least-squares optimization problem and the use of algorithmic dif
 ferentiation for generating and maintaining derivative codes alongside a s
 tate-of-the-art ocean general circulation model. Emerging capabilities are
  the uncertainty propagation from the observations through the model to ke
 y oceanic metrics such as equator-to-pole oceanic mass and heat transport.
  Also of increasing interest is the application of optimal experimental de
 sign methods for developing effective observing systems. We argue that met
 hods that are being developed in computational science and engineering at 
 the interface of predictive data science, in particular those that are sca
 lable to real-world problems, remain under-utilized in ocean climate model
 ing. Realizing their full potential involves considerable practical hurdle
 s in the context of high-performance computing, but it is indispensable fo
 r advancing simulation-based contributions as we enter the UN Decade of Oc
 ean Science for Sustainable Development.\n\nTag: Applications, Computation
 al Science, Government Strategies, Programs, and Funding, Weather and Clim
 ate\n\nRegistration Category: Tech Program Reg Pass, Exhibits Reg Pass
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