3 citations · 4 across the 4 of their papers we have counts for
4 papers
Adjoint-Matching Neural Network Surrogates for Fast 4D-Var Data Assimilation
Austin Chennault, Andrey A. Popov, Amit N. Subrahmanya +4
Data assimilation is the process of fusing information from imperfect computer simulations with noisy, sparse measurements of reality to obtain improved estimates of the state or p…
Alternating Directions Implicit Integration in a General Linear Method Framework
Arash Sarshar, Steven Roberts, Adrian Sandu
Alternating Directions Implicit (ADI) integration is an operator splitting approach to solve parabolic and elliptic partial differential equations in multiple dimensions based on s…
Robust data assimilation using and Huber norms
Vishwas Rao, Adrian Sandu, Michael Ng +1
Data assimilation is the process to fuse information from priors, observations of nature, and numerical models, in order to obtain best estimates of the parameters or state of a ph…
An Efficient Implementation of the Ensemble Kalman Filter Based on an Iterative Sherman-Morrison Formula
Elias D. Nino-Ruiz, Adrian Sandu, Jeffrey Anderson
We present a practical implementation of the ensemble Kalman (EnKF) filter based on an iterative Sherman-Morrison formula. The new direct method exploits the special structure of t…