Results 101 to 110 of about 1,938,747 (236)
Coupled observation‐operator approximations in outer‐loop coupling data assimilation
We present a methodology for coupled variational data assimilation that allows the effect of coupled observation operators whilst maintaining separate minimisations across model components. This allows us to constrain the atmosphere, ocean, and sea‐ice components of our coupled model directly from satellite radiances. We illustrate the system in action
P. A. Browne +5 more
wiley +1 more source
Battery management systems (BMS) are widely used in energy storage systems and electric vehicles. The precise estimation of state-of-charge is a key factor affecting the performance of BMS.
Shengwei Gao +3 more
doaj +1 more source
The introduction of adaptive parameter tuning in the numerical weather prediction models of DWD in 2022 substantially improved the forecast quality of near‐surface variables like 2‐m temperature and 2‐m humidity. Since 2023, refinements and extensions, primarily affecting the surface evaporation and its diurnal cycle, have led to further advances ...
Günther Zängl
wiley +1 more source
The Orbit Determination of Leo Satellites Using Extended Kalman Filter [PDF]
We studied the nonlinear estimation problem of extended Kalman filter and applied this method to LEO satellite system. Through this method the performance of extended Kalman filter was analyzed.
Gunn-Ho Sohn +2 more
doaj
Discrete Extended Kalman Filter On Lie Groups
Publication in the conference proceedings of EUSIPCO, Marrakech, Morocco ...
Bourmaud, Guillaume +3 more
openaire +4 more sources
Neighborhood methods are commonly used in verification to avoid the double‐penalty issue. This study evaluates such methods for the assimilation of infrared and visible satellite observations and extends them to multiscale assimilation. Moreover, a novel technique is tested aimed at mitigating complex biases and structural errors in real‐world model ...
Lukas Kugler +4 more
wiley +1 more source
Enhancing severe convection forecasts with microwave radiance assimilation in limited‐area models
Microwave satellite radiances remain largely underexploited in convection‐permitting limited‐area models. We assess the assimilation of humidity‐sensitive radiances from the MHS instrument in the operational ICON‐2I model, improving the precipitation forecast of a severe convective event over the Marche region, Italy, substantially by correcting ...
Marcello Grenzi +5 more
wiley +1 more source
In the actual working environment, most equipment models present nonlinear characteristics. For nonlinear system filtering, filtering methods such as the Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF), and Cubature Kalman Filter (CKF) have ...
Chengyi Li, Chenglin Wen
doaj +1 more source
Error in ERA5 2‐m temperature identified using GraphCast
We identify a recurrent error in ERA5 2‐m temperature over the Ethiopian Highlands that occurs predominantly at 0600 UTC on ≈7%$$ \approx 7\% $$ of dates. The artefact is caused by the 2D optimal‐interpolation scheme assimilating temporally displaced surface reports (e.g., 0900 UTC) into the 0600 UTC analysis.
Hannah M. Christensen +5 more
wiley +1 more source
Exact Robust Filtering and Differentiation Based on Sliding Modes and Homogeneity
ABSTRACT This article addresses the problem of online estimation of the derivatives of a signal corrupted by measurement noise. The measured signal is modeled as the sum of a smooth nominal component and a uniformly bounded noise term. A key objective is to attenuate the effect of high‐frequency noise.
Jaime A. Moreno, Arie Levant
wiley +1 more source

