Results 1 to 10 of about 21,404,104 (365)

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

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

Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review [PDF]

IEEE/CAA Journal of Automatica Sinica, 2023
Data assimilation (DA) and uncertainty quantification (UQ) are extensively used in analysing and reducing error propagation in high-dimensional spatial-temporal dynamics. Typical applications span from computational fluid dynamics (CFD) to geoscience and
Sibo Cheng, César A. Quilodrán Casas, Said Ouala, A. Farchi, Che Liu, P. Tandeo, Ronan Fablet, D. Lucor, B. Iooss, J. Brajard, Dunhui Xiao, T. Janjić, Weiping Ding, Yike Guo, A. Carrassi, M. Bocquet, Rossella Arcucci   +16 more
semanticscholar   +1 more source

Score-based Data Assimilation [PDF]

Neural Information Processing Systems, 2023
Data assimilation, in its most comprehensive form, addresses the Bayesian inverse problem of identifying plausible state trajectories that explain noisy or incomplete observations of stochastic dynamical systems.
François Rozet, Gilles Louppe
semanticscholar   +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

The Antarctic Marginal Ice Zone and Pack Ice Area in CMEMS GREP Ensemble Reanalysis Product

Frontiers in Earth Science, 2022
Global ocean reanalyses provide consistent and comprehensive records of ocean and sea ice variables and are therefore of pivotal significance for climate studies, particularly in data-sparse regions such as Antarctica.
Doroteaciro Iovino, Julia Selivanova, Julia Selivanova, Simona Masina, Andrea Cipollone   +4 more
doaj   +1 more source

Summertime sea-ice prediction in the Weddell Sea improved by sea-ice thickness initialization

Scientific Reports, 2021
Skillful sea-ice prediction in the Antarctic Ocean remains a big challenge due to paucity of sea-ice observations and insufficient representation of sea-ice processes in climate models.
Yushi Morioka, Doroteaciro Iovino, Andrea Cipollone, Simona Masina, Swadhin K. Behera   +4 more
doaj   +1 more source

Decadal Sea Ice Prediction in the West Antarctic Seas with Ocean and Sea Ice Initializations

Communications Earth & Environment, 2022
Decadal sea ice variability in the west Antarctic seas can be skillfully predicted, with highest skill in a decadal reforecast experiment where sea surface temperature, sea ice concentration and subsurface ocean temperature and salinity are initialized ...
Yushi Morioka, Doroteaciro Iovino, Andrea Cipollone, Simona Masina, Swadhin K. Behera   +4 more
doaj   +1 more source

Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization [PDF]

Foundations of Data Science, 2020
The reconstruction from observations of high-dimensional chaotic dynamics such as geophysical flows is hampered by (i) the partial and noisy observations that can realistically be obtained, (ii) the need to learn from long time series of data, and (iii ...
M. Bocquet, J. Brajard, A. Carrassi, Laurent Bertino   +3 more
semanticscholar   +1 more source