Results 101 to 110 of about 186,344 (275)
A low dimensional Kalman filter for systems with lagged observables [PDF]
This note describes how the Kalman filter can be modified to allow for the vector of observables to be a function of lagged variables without increasing the dimension of the state vector in the filter. This is useful in applications where it is desirable
Kristoffer Nimark
core
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
NONLINEAR FILTERING OF RANDOM SEQUENCES WITH EXTENDED LEAST-SQUARE METHOD 1
Informatika, 2018 For nonlinear random sequences filtering the extended least-square method is proposed. The received suboptimal filter equations include linearization for nonlinear measurement function only.
V. M. Artemiev +2 more
doaj
Quarterly Journal of the Royal Meteorological Society, EarlyView.This work demonstrates the potential of the assimilation of satellite solar‐induced fluorescence (SIF) retrievals at eight‐day and 0.1° resolutions in the integrated forecast system (IFS), developed at the European Centre for Medium‐Range Weather Forecasts (ECMWF), at global scale, to provide a more realistic representation of the vegetation temporal ...
Sébastien Garrigues +12 more
wiley +1 more source
Quarterly Journal of the Royal Meteorological Society, EarlyView.Though many studies have shown potential benefit in assimilating all‐sky infrared radiances from geostationary satellites, at numerical weather prediction centres it is still common practice to assimilate clear‐sky radiances. We present the operationalization of the all‐sky assimilation of the spinning enhanced visible and infrared imager (SEVIRI ...
Annika Schomburg +5 more
wiley +1 more source
Estimating Time-Varying Coefficients With the VC Program [PDF]
The estimation of models with time-varying coefficients is usually performed by Kalman-Bucy filtering. The two-sided filter proposed by Schlicht (1988) is statistically and computationally superior to the one-sided Kalman-Bucy filter.
Schlicht, Ekkehart
core
A parallel Kalman filter via the square root Kalman filtering [PDF]
, 1993 A parallel algorithm for Kalman filtering with contaminated observations is developed. Theı parallel implementation is based on the square root version of the Kalman filter (see [3]).
Cipra, Tomas, Romera, Rosario
core +1 more source
Quarterly Journal of the Royal Meteorological Society, EarlyView.This article demonstrates that assimilating machine‐learning‐derived surface nitrate can improve five‐day phytoplankton forecast substantially within the Met Office operational system for the Northwest European Shelf. We explain the reasons behind this improvement and propose that an online system where machine learning and data assimilation are cycled
Deep S. Banerjee +2 more
wiley +1 more source
The discrete-time compensated Kalman filter [PDF]
A suboptimal dynamic compensator to be used in conjunction with the ordinary discrete time Kalman filter was derived. The resultant compensated Kalman Filter has the property that steady state bias estimation errors, resulting from modelling errors, were
Athans, M., Lee, W. H.
core +1 more source
Quarterly Journal of the Royal Meteorological Society, EarlyView.The study evaluates five factors affecting the assimilation of surface‐sensitive Advanced Microwave Sounding Unit‐A (AMSU‐A) radiances over land, including the simultaneous estimation of surface emissivity and the standard set of state variables, to improve numerical weather prediction (NWP) at Environment and Climate Change Canada (ECCC).
Zheng Qi Wang +4 more
wiley +1 more source