Results 101 to 110 of about 63,163 (313)
Quarterly 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
Hybrid Frequency and Period Based for Angular Speed Measurement of DC Motor Using Kalman Filter
, 2022 Novendra Setyawan +3 more
openalex +2 more sources
Ensemble Kalman filter in latent space using a variational autoencoder pair
Quarterly 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
A Critical Look at Coulomb Counting Towards Improving the Kalman Filter\n Based State of Charge Tracking Algorithms in Rechargeable Batteries [PDF]
, 2021 Kiarash Movassagh +3 more
openalex +1 more source
Data assimilation with extremum Monte Carlo methods
Quarterly 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
GSP-KalmanNet: Tracking Graph Signals via Neural-Aided Kalman Filtering [PDF]
, 2023 Itay Buchnik +5 more
openalex +1 more source
A pilot variational coupled reanalysis based on the CESAM climate model
Quarterly Journal of the Royal Meteorological Society, EarlyView.Variational data assimilation of in‐situ and satellite ocean data and reanalysis atmospheric data into an intermediate complexity Earth system model is possible by adjusting the surface fluxes and internal model parameters. This pilot application requires nearly complete information on the atmospheric state for synchronization.
Armin Köhl +6 more
wiley +1 more source
Vector Tracking Algorithm Based on Adaptive Cubature Kalman Filter [PDF]
, 2018 Xiangjun Zou, Baowang Lian, Zesheng Dan
openalex +1 more source
Quality and Reliability Engineering International, EarlyView.ABSTRACT Accurate state of health (SOH) estimation of Li‐ion batteries is essential for ensuring safety, reliability, and prolonging battery lifespan in energy storage systems and electric vehicles. This study proposes a hybrid temporal convolutional network (TCN)–transformer framework that effectively captures both short‐term temporal dynamics and ...
Fusen Guo +6 more
wiley +1 more source
Groundwater Pollution Concentration Estimation with Modified Kalman Filter Method
Cauchy: Jurnal Matematika Murni dan AplikasiGroundwater quality is very important for human health. Estimation of groundwater pollution concentration to determine groundwater quality is necessary. The concentration of groundwater pollution is estimated using the modified Kalman filter method.
Nenik Estuningsih, Fatmawati Fatmawati
doaj +1 more source