Searched for: subject%3A%22Data%255C+assimilation%22
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Diab Montero, H.A. (author)
In this dissertation, I explore ensemble data assimilation methods to enhance our capability to forecast earthquakes and slow slip events, focusing on the critical challenge posed by limited information on the current stress state of faults. <br/>At the outset, the research acknowledges the inherent limitations in our current understanding of...
doctoral thesis 2024
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Pinto, Martino (author)
Particle Tracking Velocimetry (PTV) is an effective and non-intrusive flow measurement technique that is able to provide quantitative information of the full velocity field at a certain instant in time, by tracking each particle individually with high-speed cameras. This permits to have a very high precision in measuring the flow evolutions. The...
master thesis 2024
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Yarce Botero, A. (author)
When considering air quality, notably in South America, it seems that we are falling behind more developed regions in exacerbating the issue. This shortfall serves not just as observation, but as a warning, as air quality problems here are rapidly escalating. Nevertheless, by examining how other countries have addressed similar issues, we can...
doctoral thesis 2024
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Shan, X. (author), Steele-Dunne, S.C. (author), Hahn, Sebastian (author), Wagner, Wolfgang (author), Bonan, Bertrand (author), Albergel, Clement (author), Calvet, Jean Christophe (author), Ku, Ou (author)
ASCAT normalized backscatter (σ<sub>40</sub><sup>o</sup>) and slope (σ<sup>′</sup>) contain valuable information about soil moisture and vegetation. While σ<sub>40</sub><sup>o</sup> has been assimilated to constrain soil moisture, sometimes together with Leaf Area Index (LAI), this study is the first to assimilate σ<sup>′</sup> directly to...
journal article 2024
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Oudshoorn, Christiaan (author)
The data assimilation process for geothermal reservoirs often relies on well data which primarily offers insights into the immediate vicinity of the borehole. However, integrating geophysical methods can provide valuable information beyond well proximity, possibly enhancing reservoir predictions. Electromagnetic methods can be sensitive to the...
master thesis 2023
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Saredi, E. (author)
Particle Image Velocimetry (PIV) is considered nowadays the state-of-the-art for non-intrusive and quantitative 3D velocity measurements. Its ability to measure the velocity field around complex geometries is a valuable tool that engineers can exploit for aerodynamic design optimization in various domains, such as aerospace, wind turbines and...
doctoral thesis 2023
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Yarce Botero, A. (author), Lopez Restrepo, S. (author), Sebastian Rodriguez, Juan (author), Valle, Diego (author), Galvez-Serna, Julian (author), Montilla, Elena (author), Botero, Francisco (author), Henzing, Bas (author), Heemink, A.W. (author)
The densest network for measuring air pollutant concentrations in Colombia is in Medellin, where most sensors are located in the heavily polluted lower parts of the valley. Measuring stations in the higher elevations on the mountains surrounding the valley are not available, which limits our understanding of the valley’s pollutant dynamics and...
journal article 2023
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Pang, Mijie (author), Jin, J. (author), Segers, Arjo (author), Jiang, Huiya (author), Fang, Li (author), Lin, H.X. (author), Liao, Hong (author)
Super dust storms re-occurred over East Asia in 2021 spring and casted great health damages and property losses. It is essential to achieve an accurate dust forecast to reduce the damage for early warning. The forecasting system fundamentally relies on a numerical model which can forecast the full evolution of dust storms. However, large...
journal article 2023
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Mohsan, M. (author), Vardon, P.J. (author), Vossepoel, F.C. (author)
Data assimilation methods have been implemented on a slope stability problem, and the performance of different constitutive models and data assimilation schemes has been investigated. In the first part, a data assimilation scheme called the ensemble Kalman filter (EnKF) is implemented using a finite element model (FEM) and its performance with...
conference paper 2023
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Hinestroza Ramirez, Jhon Edinson (author), Soto Barbosa, Juan Ernesto (author), Yarce Botero, A. (author), Suárez Higuita, Danilo Andrés (author), Lopez-Restrepo, Santiago (author), Cruz Ruiz, Lisseth Milena (author), Sólorzano Araque, Valeria (author), Céspedes, Andres (author), Lorduy Hernandez, Sara (author)
This manuscript introduces an exploratory case study of the SIMFAC’s (Sistema de Información Meteorológica de la Fuerza Aérea Colombiana) operational implementation of the Weather Research and Forecasting (WRF) model with a 3DVAR (three-dimensional variational) data assimilation scheme that provides meteorological information for military,...
journal article 2023
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Diab Montero, H.A. (author), Li, Meng (author), van Dinther, Ylona (author), Vossepoel, F.C. (author)
Our ability to forecast earthquakes and slow slip events is hampered by limited information on the current state of stress on faults. Ensemble data assimilation methods permit estimating the state by combining physics-based models and observations, while considering their uncertainties. We use an ensemble Kalman filter (EnKF) to estimate...
journal article 2023
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Mohsan, M. (author), Vossepoel, F.C. (author), Vardon, P.J. (author)
Different data assimilation schemes such as the ensemble Kalman filter (EnKF), ensemble smoother (ES) and ensemble smoother with multiple data assimilation (ESMDA) are implemented in a hydro-mechanical slope stability analysis. For a synthetic case, these schemes assimilate displacements at the crest and the slope to estimate strength and...
journal article 2023
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van Hemert, Guus (author)
To study the aerosols in the atmosphere is an important aspect for getting a better understanding of climate change. Therefore, it is important to get accurate observations of aerosols in the atmosphere as well as accurate emission fluxes of aerosol species. Satellite instruments such as SPEXone are able to measure aerosol properties with a high...
master thesis 2022
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Huang, Yilin (author), Xie, Xu (author), Cho, Yubin (author), Verbraeck, A. (author)
Data assimilation (DA) is a methodology widely used by different disciplines of science and engineering. It is typically applied to continuous systems with numerical models. The application of DA to discrete-event and discrete-time systems including agent-based models is relatively new. Because of its non-linearity and non-Gaussianity, the...
journal article 2022
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Cakir, B.O. (author), Gonzalez Saiz, G. (author), Sciacchitano, A. (author), van Oudheusden, B.W. (author)
Three-dimensional Lagrangian particle tracking measurements with helium filled soap bubbles provide quantitative flow visualizations in large measurement volumes up to the cubic metre scale. However, the instantaneously available fluid information density is severely restricted by the finite spatial resolution of the measurements. Therefore,...
journal article 2022
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De Lannoy, Gabriëlle J.M. (author), Bechtold, Michel (author), Albergel, Clément (author), Brocca, Luca (author), Calvet, Jean Christophe (author), Carrassi, Alberto (author), Crow, Wade T. (author), de Rosnay, Patricia (author), Steele-Dunne, S.C. (author)
The beginning of the 21<sup>st</sup> century is marked by a rapid growth of land surface satellite data and model sophistication. This offers new opportunities to estimate multiple components of the water cycle via satellite-based land data assimilation (DA) across multiple scales. By resolving more processes in land surface models and by...
review 2022
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Kumar, Sujay (author), Kolassa, Jana (author), Reichle, Rolf (author), Crow, Wade (author), de Lannoy, Gabrielle (author), de Rosnay, Patricia (author), MacBean, Natasha (author), Quaife, Tristan (author), Steele-Dunne, S.C. (author)
The task of quantifying spatial and temporal variations in terrestrial water, energy, and vegetation conditions is challenging due to the significant complexity and heterogeneity of these conditions, all of which are impacted by climate change and anthropogenic activities. To address this challenge, Earth Observations (EOs) of the land and...
review 2022
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Xiao, C. (author), Lin, H.X. (author), Leeuwenburgh, O. (author), Heemink, A.W. (author)
History matching can play a key role in improving geological characterization and reducing the uncertainty of reservoir model predictions. Application of reservoir history matching is restricted by the huge computational cost by amongst others the many runs of the full model. Surrogate models with a reduced complexity are therefore used to...
journal article 2022
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Lopez Restrepo, S. (author), Yarce Botero, A. (author), Pinel, Nicolás (author), Quintero, O. L. (author), Segers, Arjo (author), Heemink, A.W. (author)
This work proposes a robust and non-Gaussian version of the shrinkage-based knowledge-aided EnKF implementation called Ensemble Time Local H<sub>∞</sub> Filter Knowledge-Aided (EnTLHF-KA). The EnTLHF-KA requires a target covariance matrix to integrate previously obtained information and knowledge directly into the data assimilation (DA). The...
journal article 2022
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O'Hara, Kian (author)
In light of our depleting fossil fuel reserves and the relatively `cheap' extraction of oil and in spite of the highly nonlinear nature of reservoirs, waterflooding has become big business. In recent times, the use of numerical reservoir simulation has not only become possible but has increasingly been used in the petroleum industry in the...
master thesis 2021
Searched for: subject%3A%22Data%255C+assimilation%22
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