Inferring the instability of a dynamical system from the skill of data assimilation exercises [PDF]
Nonlinear Processes in Geophysics, 2021 Data assimilation (DA) aims at optimally merging observational data and model outputs to create a coherent statistical and dynamical picture of the system under investigation.
Y. Chen +6 more
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Occupational epidemiologist's quest to tame measurement error in exposure
Global Epidemiology, 2020 I aimed to assess current practices and opportunities for addressing the problem of errors in exposure in occupational epidemiology. Occupational epidemiologists appreciate that errors in exposure are a concern, but almost none correct for these errors ...
Igor Burstyn
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Applied Sciences, 2018 A solution framework for UAV motion strategies in uncertain dynamic environments is constructed in this paper. Considering that the motion states of UAV might be influenced by some dynamic uncertainties, such as control strategies, flight environments ...
Jun-hui Cui +3 more
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Theoretical investigation on the mass loss impact on asteroseismic grid-based estimates of mass, radius, and age for RGB stars [PDF]
, 2017 We aim to perform a theoretical evaluation of the impact of the mass loss indetermination on asteroseismic grid based estimates of masses, radii, and ages of stars in the red giant branch phase (RGB).
Degl'Innocenti, S. +3 more
core +2 more sources
Ecohydrologic Error Models for Improved Bayesian Inference in Remotely Sensed Catchments
Water Resources Research, 2019 Leaf area index (LAI) is an important vegetation indicator widely used for simulating vegetation dynamics and quantifying biomass production. Spatial and temporal variability of LAI are often characterized using satellite remote sensing products. However,
Yating Tang +4 more
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Water Science and Engineering, 2017 Though the ensemble Kalman filter (EnKF) has been successfully applied in many areas, it requires explicit and accurate model and measurement error information, leading to difficulties in practice when only limited information on error mechanisms of ...
Tong-chao Nan, Ji-chun Wu
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A Flow‐Dependent Targeted Observation Method for Ensemble Kalman Filter Assimilation Systems
Earth and Space Science, 2020 In this study, we developed a flow‐dependent sequential assimilation‐based targeted observation method by minimizing the analysis error variance under the framework of the ensemble Kalman filter (EnKF).
Yanling Wu, Zheqi Shen, Youmin Tang
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Journal of Pharmaceutical Policy and Practice, 2022 Background Medication administration errors are frequent and cause significant harm globally. However, only a few data are available on their prevalence, nature, and severity in developing countries, particularly in Brazil.
Lindemberg Assunção-Costa +7 more
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Full-field and anomaly initialization using a low-order climate model: a comparison and proposals for advanced formulations [PDF]
, 2014 Initialization techniques for seasonal-to-decadal climate predictions fall into two main categories; namely full-field initialization (FFI) and anomaly initialization (AI).
Asif, M. +5 more
core +2 more sources
Investigation of observational error sources in multi-Doppler-radar three-dimensional variational vertical air motion retrievals [PDF]
Atmospheric Measurement Techniques, 2019 Multi-Doppler-radar network observations have been used in different configurations over the last several decades to conduct three-dimensional wind retrievals in mesoscale convective systems.
M. Oue +6 more
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