A conjugate BFGS method for accurate estimation of a posterior error covariance matrix in a linear inverse problem
Sign Up to like & getrecommendations! Published in 2020 at "Quarterly Journal of the Royal Meteorological Society"
DOI: 10.1002/qj.3838
Abstract: One effective data assimilation/inversion method is the four‐dimensional variational method (4D‐Var). However, it is a non‐trivial task for a conventional 4D‐Var to estimate a posterior error covariance matrix. This study proposes a method to estimate… read more here.
Keywords: matrix; error covariance; method; posterior error ... See more keywords
Boundedness of the Kalman Filter Revisited
Sign Up to like & getrecommendations! Published in 2021 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2021.08.381
Abstract: Abstract The boundedness of the Kalman filter, as the first cornerstone of its stability analysis, has been proved in the classical literature through upper bounds of non-recursive filters in the sense of the trace of… read more here.
Keywords: filter; kalman filter; boundedness kalman; error covariance ... See more keywords
Analysis of geometric selection of the data-error covariance inflation for ES-MDA
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Petroleum Science and Engineering"
DOI: 10.1016/j.petrol.2019.06.032
Abstract: Abstract The ensemble smoother with multiple data assimilation (ES-MDA) has become a popular assisted history-matching method. In its standard form, the method requires the specification of the number of iterations in advance. If the selected… read more here.
Keywords: selection data; error covariance; data error; inflation ... See more keywords
Improving Convective Precipitation Forecasts Using Ensemble‐Based Background Error Covariance in 3DVAR Radar Assimilation System
Sign Up to like & getrecommendations! Published in 2020 at "Earth and Space Science"
DOI: 10.1029/2019ea000667
Abstract: Skillful quantitative precipitation forecast using the numerical weather prediction model relies on an accurate estimate of the atmospheric state as an initial condition. Variational assimilation methods (VAR) have the potential to provide improved initial state… read more here.
Keywords: assimilation; background error; model; error ... See more keywords
Distributed Kalman Filter With Faulty/Reliable Sensors Based on Wasserstein Average Consensus
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3146418
Abstract: This brief considers distributed Kalman filtering problem for systems with sensor faults. A trust-based classification fusion strategy is proposed to resist against sensor faults. First, the local sensors collect measurements and then update their state… read more here.
Keywords: distributed kalman; wasserstein average; filter faulty; kalman filter ... See more keywords
Compensation Filtering for Spacecraft Attitude Estimation Using Error-Covariance Reconstruction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3160555
Abstract: Traditional spacecraft attitude estimation algorithms normally require the assumption that the true quaternion approximates to the estimated value. Otherwise, it may lead to a large truncation error. However, this assumption is difficult to be always… read more here.
Keywords: error covariance; spacecraft attitude; error; estimation ... See more keywords
Dynamical Structures of Cross-Domain Forecast Error Covariance of a Simulated Tropical Cyclone in a Convection-Permitting Coupled Atmosphere–Ocean Model
Sign Up to like & getrecommendations! Published in 2020 at "Monthly Weather Review"
DOI: 10.1175/mwr-d-20-0116.1
Abstract: Understanding the dynamics of the flow-dependent forecast error covariance across the air–sea interface is beneficial toward revealing the potential influences of strongly coupled data assimilation on tropical cyclone (TC) initialization in coupled models, and the… read more here.
Keywords: forecast error; cross domain; error covariance; forecast ... See more keywords
Efficient Regional Hybrid Ensemble-Variational Data Assimilation using the Global-Ensemble-Model-Augmented Error Covariance for Numerical Weather Prediction over Eastern China
Sign Up to like & getrecommendations! Published in 2020 at "Atmosphere"
DOI: 10.3390/atmos11040365
Abstract: An efficient regional hybrid ensemble-variational (EnVar) data assimilation method using the global-ensemble-model-augmented error covariance is proposed and preliminarily tested in this study. This method uses the global ensemble error covariance as the complementary low-resolution regional… read more here.
Keywords: data assimilation; global ensemble; error covariance; ensemble error ... See more keywords