Results 11 to 20 of about 21,404,104 (365)

The analog data assimilation [PDF]

Monthly Weather Review, 2017
In light of growing interest in data-driven methods for oceanic, atmospheric, and climate sciences, this work focuses on the field of data assimilation and presents the analog data assimilation (AnDA).
Ailliot, Pierre, Fablet, Ronan, Lguensat, Redouane, Pulido, Manuel Arturo, Tandeo, Pierre   +4 more
core   +6 more sources

Deep Data Assimilation: Integrating Deep Learning with Data Assimilation [PDF]

Applied Sciences, 2021
In this paper, we propose Deep Data Assimilation (DDA), an integration of Data Assimilation (DA) with Machine Learning (ML). DA is the Bayesian approximation of the true state of some physical system at a given time by combining time-distributed ...
Rossella Arcucci, Jiangcheng Zhu, Shuang Hu, Yike Guo   +3 more
semanticscholar   +4 more sources

Displacement Data Assimilation [PDF]

Journal of Computational Physics, 2016
We show that modifying a Bayesian data assimilation scheme by incorporating kinematically-consistent displacement corrections produces a scheme that is demonstrably better at estimating partially observed state vectors in a setting where feature ...
Mariano, Arthur J., Restrepo, Juan M., Rosenthal, W. Steven, Venkataramani, Shankar C.   +3 more
core   +3 more sources

Evaluating Data Assimilation Algorithms [PDF]

Monthly Weather Review, 2012
Data assimilation leads naturally to a Bayesian formulation in which the posterior probability distribution of the system state, given the observations, plays a central conceptual role.
A. M. Stuart, Anderson, Apte, Apte, Apte, Arulampalam, Auvinen, Bain, Banks, Banks, Bengtsson, Bennett, Brett, Brooks, Bryson, Bröcker, Carrassi, Chorin, Chorin, Cotter, Cotter, Courtier, Cox, Cox, Doucet, Evensen, Evensen, Evensen, Fisher, Hamill, Harlim, Harvey, Hesthaven, Hinze, Jazwinski, K. J. H. Law, Kaipio, Kalman, Kalnay, Kelley, Lawless, Lei, Leutbecher, Liu, Lorenc, Lorenz, Lorenz, Majda, Meng, Miller, Nocedal, Palmer, Quinn, Saad, Snyder, Stuart, Talagrand, Tarantola, Temam, Tippett, Toth, Trefethen, van Leeuwen, van Leeuwen, Vogel, Vogel, Zhang, Zhang, Zupanski   +68 more
core   +8 more sources

Variational assimilation of Lagrangian data in oceanography [PDF]

PAMM, 2006
We consider the assimilation of Lagrangian data into a primitive equations circulation model of the ocean at basin scale. The Lagrangian data are positions of floats drifting at fixed depth.
Assenbaum M Reverdin G, De Mey P, Forget G, Ghil M, Ghil M, Ide K, Jazwinski A H, Le Dimet F X, Lions J L, Lions J L, Madec G, Maëlle Nodet, Ngodock H E, Penenko V V, Reynaud T, Salman H, Talagrand O, Temam R, Thacker W C   +18 more
core   +13 more sources

Data assimilation: The Schrödinger perspective [PDF]

Acta Numerica, 2018
Data assimilation addresses the general problem of how to combine model-based predictions with partial and noisy observations of the process in an optimal manner. This survey focuses on sequential data assimilation techniques using probabilistic particle-
S. Reich
semanticscholar   +5 more sources

Data assimilation in operator algebras. [PDF]

Proc Natl Acad Sci U S A, 2023
We develop an algebraic framework for sequential data assimilation of partially observed dynamical systems. In this framework, Bayesian data assimilation is embedded in a nonabelian operator algebra, which provides a representation of observables by multiplication operators and probability densities by density operators (quantum states).
Freeman D, Giannakis D, Mintz B, Ourmazd A, Slawinska J.   +4 more
europepmc   +4 more sources

Combining data assimilation and machine learning to infer unresolved scale parametrization [PDF]

Philosophical Transactions of the Royal Society A, 2020
In recent years, machine learning (ML) has been proposed to devise data-driven parametrizations of unresolved processes in dynamical numerical models.
J. Brajard, A. Carrassi, M. Bocquet, Laurent Bertino   +3 more
semanticscholar   +1 more source

Southern Europe and western Asian marine heatwaves (SEWA-MHWs): a dataset based on macroevents [PDF]

Earth System Science Data, 2023
Marine heatwaves (MHWs) induce significant impacts on marine ecosystems. There is a growing need for knowledge about extreme climate events to better inform decision-makers on future climate-related risks.
G. Bonino, S. Masina, G. Galimberti, M. Moretti, M. Moretti   +4 more
doaj   +1 more source

Learning earth system models from observations: machine learning or data assimilation?

Philosophical Transactions of the Royal Society A, 2021
Recent progress in machine learning (ML) inspires the idea of improving (or learning) earth system models directly from the observations. Earth sciences already use data assimilation (DA), which underpins decades of progress in weather forecasting.
A. Geer, Ecmwf, Shinfield Park
semanticscholar   +1 more source