Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"Error Covariance Matrices"”.
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GPS-LiDAR sensor fusion aided by 3D city models for UAVs
… or blocked by buildings, resulting in multipath errors or non-line-of-sight (NLOS) situations. In such cases, additional on-board sensors are desirable to improve global positioning of the UAV. Light Detection and Ranging (LiDAR), one such sensor, provides a real-time point cloud of its …
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Assimilation of Meteosat Second Generation (MSG) satellite data in a regional numerical weather prediction model using a one-dimensional variational approach
… is selected. It maximises the reduction of errors in the model backgrounds while ensuring ease of operational implementation through accurate bias correction procedures and correct radiative transfer simulations. The 1D–VAR retrieval quality is firstly quantified in relative terms employing …
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Uncertainty quantification in ocean state estimation
Quantifying uncertainty and error bounds is a key outstanding challenge in ocean state estimation and climate research. It is particularly difficult due to the large dimensionality of this nonlinear estimation problem and the number of uncertain variables involved. The “Estimating the Circulation …
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Efficient formulation and implementation of ensemble based methods in data assimilation
… realizations encapsulates information about the error correlations driven by the physics and the dynamics of the numerical model. This information can be used to obtain improved estimates of the state of non-linear dynamical systems such as the atmosphere and/or the ocean. This work develops …
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Uncertainty Quantification in ocean state estimation
Quantifying uncertainty and error bounds is a key outstanding challenge in ocean state estimation and climate research. It is particularly difficult due to the large dimensionality of this nonlinear estimation problem and the number of uncertain variables involved. The "Estimating the Circulation …
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Efficient Computational Tools for Variational Data Assimilation and Information Content Estimation
… ) is a difficult, labor intensive, and error prone task. This work develops adjoint systems for two of the most widely used chemical transport models: Harvard's GEOS-Chem global model and for Environmental Protection Agency's regional CMAQ regional air quality model. Both GEOS-Chem and …