Nonlinear continuous data assimilation
15 pages, 19 ...
Larios, Adam, Pei, Yuan
openaire +2 more sources
Statistical variational data assimilation
This paper is a contribution in the context of variational data assimilation combined with statistical learning. The framework of data assimilation traditionally uses data collected at sensor locations in order to bring corrections to a numerical model designed using knowledge of the physical system of interest.
Amina Benaceur, Barbara Verfürth
openaire +5 more sources
Ensemble optimal interpolation for adjoint-free biogeochemical data assimilation. [PDF]
Mattern JP, Edwards CA.
europepmc +1 more source
Simultaneous data assimilation and cardiac electrophysiology model correction using differentiable physics and deep learning. [PDF]
Kashtanova V +4 more
europepmc +1 more source
A data assimilation framework to predict the response of glioma cells to radiation. [PDF]
Liu J, Ii DAH, Yang J, Yankeelov TE.
europepmc +1 more source
Interconnected hydrologic extreme drivers and impacts depicted by remote sensing data assimilation. [PDF]
Lahmers TM +7 more
europepmc +1 more source
Bayesian sequential data assimilation for COVID-19 forecasting. [PDF]
Daza-Torres ML +3 more
europepmc +1 more source
An ensemble data assimilation modeling system for operational outdoor microalgae growth forecasting. [PDF]
Yan H +4 more
europepmc +1 more source
Editorial: Data assimilation in cardiovascular medicine: Merging experimental measurements with physics-based computational models. [PDF]
Lim E, Shi Y, Leo HL, Al Abed A.
europepmc +1 more source

