Results 141 to 150 of about 270,111 (384)

Online structural damage identification technique using constrained dual extended Kalman filter

open access: yes, 2017
Periodic health assessment of large civil engineering structures is an effective way to ensure safe performance all through their service lives. Dynamic response‐based structural health assessment can only be performed under normal/ambient operating ...
Subhamoy Sen, B. Bhattacharya
semanticscholar   +1 more source

Improving convection‐permitting all‐sky infrared radiance ensemble data assimilation through mitigating deleterious non‐Gaussian artifacts

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Ensemble Kalman filters (EnKFs) with quality control (QC) are commonly used in the data assimilation (DA) of all‐sky satellite‐sensed infrared radiance (IR) observations. However, the statistical assumptions underlying EnKFs and QC are violated in such DA.
Man‐Yau Chan
wiley   +1 more source

The Extended Parameter Filter

open access: yes, 2013
The parameters of temporal models, such as dynamic Bayesian networks, may be modelled in a Bayesian context as static or atemporal variables that influence transition probabilities at every time step.
Erol, Yusuf   +3 more
core  

Land data assimilation of satellite‐based surface soil moisture: Impact on atmospheric simulations over the contiguous United States

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Soil Moisture Active Passive soil moisture retrievals are assimilated into a land surface model and the resulting land reanalysis product is used to initialise the land component of coupled land‐atmosphere experiments. We show that the local impact of land data assimilation on the atmosphere is influenced by two factors: the magnitude by which it ...
Zdenko Heyvaert   +6 more
wiley   +1 more source

Simple and extended Kalman filters : an application to term structures of commodity prices. [PDF]

open access: yes
This article presents and compares two different Kalman filters. These methods provide a very interesting way to cope with the presence of non-observable variables, which is a frequent problem in finance. They are also very fast even in the presence of a
Galli, Alain, Lautier, Delphine
core  

Ensemble Kalman filter in latent space using a variational autoencoder pair

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
The use of the ensemble Kalman filter (EnKF) in strongly nonlinear or constrained atmospheric, oceanographic, or sea‐ice models can be challenging. Applying the EnKF in the latent space of a variational autoencoder (VAE) ensures that the ensemble members satisfy the balances and constraints present in the model.
Ivo Pasmans   +4 more
wiley   +1 more source

Data assimilation with extremum Monte Carlo methods

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
This study presents the extremum Monte Carlo filter as a data assimilation method and, in particular, a variant of the variational approach (three‐ and four‐dimensional variational), where the state estimates are obtained by solving an optimization problem numerically over a space of prediction functions, instead of the state space itself.
Karim Moussa, Siem Jan Koopman
wiley   +1 more source

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