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. +3 more
core +3 more sources
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 +4 more
core +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 +4 more
europepmc +4 more sources
Effect of microphysics scheme and data assimilation on hydrometeor and radiative flux simulations in the Arctic [PDF]
Royal Society Open ScienceAlthough 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 +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 +6 more
doaj +1 more source
Temporal and age-structured analysis of Mpox spread in the 2022 Global outbreak: data-assimilation insights for epidemic control. [PDF]
Infect Dis PovertyLi T, Guo X, Wang X, Chen T.
europepmc +3 more sources
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 +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 +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 +4 more
doaj +1 more source