Results 1 to 10 of about 1,031,036 (328)

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

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

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

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

Effect of microphysics scheme and data assimilation on hydrometeor and radiative flux simulations in the Arctic [PDF]

Royal Society Open Science
Although clouds are a major factor influencing atmospheric environments in the Arctic, numerical simulations of Arctic clouds are uncertain. In this study, the effects of microphysics scheme and data assimilation (DA) on the simulation of clouds ...
Dae-Hui Kim, Hyun Mee Kim
doaj   +2 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   +14 more sources

Data assimilation for the Model for Prediction Across Scales – Atmosphere with the Joint Effort for Data assimilation Integration (JEDI-MPAS 1.0.0): EnVar implementation and evaluation [PDF]

Geoscientific Model Development, 2022
On 24 September 2021, JEDI-MPAS 1.0.0, a new data assimilation (DA) system for the Model Prediction Across Scales – Atmosphere (MPAS-A) built on the software framework of the Joint Effort for Data assimilation Integration (JEDI) was publicly released for
Z. Liu, C. Snyder, J. J. Guerrette, B.-J. Jung, J. Ban, S. Vahl, S. Vahl, Y. Wu, Y. Wu, Y. Trémolet, T. Auligné, B. Ménétrier, A. Shlyaeva, S. Herbener, E. Liu, E. Liu, D. Holdaway, D. Holdaway, B. T. Johnson   +18 more
doaj   +1 more source

Bivariate sea-ice assimilation for global-ocean analysis–reanalysis [PDF]

Ocean Science, 2023
In the last decade, various satellite missions have been monitoring the status of the cryosphere and its evolution. Besides sea-ice concentration data, available since the 1980s, sea-ice thickness retrievals are now ready to be used in global operational
A. Cipollone, D. S. Banerjee, D. S. Banerjee, D. S. Banerjee, D. Iovino, A. Aydogdu, S. Masina   +6 more
doaj   +1 more source

The bulk parameterizations of turbulent air–sea fluxes in NEMO4: the origin of sea surface temperature differences in a global model study [PDF]

Geoscientific Model Development, 2022
Wind stress and turbulent heat fluxes are the major driving forces that modify the ocean dynamics and thermodynamics. In the Nucleus for European Modelling of the Ocean (NEMO) ocean general circulation model, these turbulent air–sea fluxes (TASFs) can ...
G. Bonino, D. Iovino, L. Brodeau, S. Masina   +3 more
doaj   +1 more source

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 observations with a dynamic model in an optimal way.
Rossella Arcucci, Jiangcheng Zhu, Shuang Hu, Yi-Ke Guo   +3 more
openaire   +3 more sources