Simulation and diagnosis of observation, model and background error contributions in data assimilation cycling
Sign Up to like & getrecommendations! Published in 2019 at "Quarterly Journal of the Royal Meteorological Society"
DOI: 10.1002/qj.3454
Abstract: Data assimilation is usually cycled in time, through a temporal succession of analysis and forecast steps. This implies that forecast errors arise from contributions of observation, model and background errors, which are introduced during successive… read more here.
Keywords: data assimilation; simulation diagnosis; observation model; model background ... See more keywords
Correcting observation model error in data assimilation.
Sign Up to like & getrecommendations! Published in 2019 at "Chaos"
DOI: 10.1063/1.5087151
Abstract: Standard methods of data assimilation assume prior knowledge of a model that describes the system dynamics and an observation function that maps the model state to a predicted output. An accurate mapping from model state… read more here.
Keywords: observation; data assimilation; model; model error ... See more keywords
Learning a Novel LiDAR Submap-based Observation Model for Global Positioning in Long-Term Changing Environments
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2022.3169849
Abstract: AbstractIn complex environments with long-term changes such as light, seasonal and viewpoint changes, robust, accurate and high-frequency global positioning based on LiDAR map is still a challenge, which is crucial for autonomous vehicles or robots.… read more here.
Keywords: observation model; long term; lidar submap; term ... See more keywords
An Observation Model From Linear Interpolation for Quaternion-Based Attitude Estimation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3238688
Abstract: This article aims to solve multiple problems associated with attitude estimation; the complexity of Kalman filter (KF) calculations in the attitude and heading reference system (AHRS), the interference sensitivity of magnetic, angular rate, and gravity… read more here.
Keywords: observation model; quaternion; linear interpolation; attitude estimation ... See more keywords
Observation and Model Bias Estimation in the Presence of Either or Both Sources of Error
Sign Up to like & getrecommendations! Published in 2017 at "Monthly Weather Review"
DOI: 10.1175/mwr-d-16-0273.1
Abstract: AbstractIn numerical weather prediction and in reanalysis, robust approaches for observation bias correction are necessary to approach optimal data assimilation. The success of bias correction can be limited by model errors. Here, simultaneous estimation of… read more here.
Keywords: observation; presence; bias estimation; model ... See more keywords
De-biasing Particle Filtering for a Continuous Time Hidden Markov Model With a Cox Process Observation Model
Sign Up to like & getrecommendations! Published in 2022 at "Statistica Sinica"
DOI: 10.5705/ss.202022.0210
Abstract: We develop a (nearly) unbiased particle filtering algorithm for a specific class of continuous-time state-space models, such that (a) the latent process $X_t$ is a linear Gaussian diffusion; and (b) the observations arise from a… read more here.
Keywords: observation model; continuous time; model; particle filtering ... See more keywords