Searched for: subject%3A%22data%255C%252Bassimilation%22
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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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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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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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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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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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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)
In the community of petroleum engineering, the use of surrogate modelling techniques have recently gained more and more popularity to improve the efficiency of history matching. However, it is still not possible to fully utilize their potential in realistic applications. One of the challenges is to retain high accuracy while increasing the...
doctoral thesis 2021
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Lopez Restrepo, S. (author), Yarce Botero, A. (author), Quintero Montoya, O.L. (author), Pinel Pelaez, N. (author), Hinestroza Ramirez, J.E. (author), Nino-Ruiz, Elias David (author), Anderson Flórez, Jimmy (author), Rendón, Angela Maíra (author), Alvarez-Laínez, Monica Lucia (author), Heemink, A.W. (author)
Particulate matter (PM) is one of the most problematic pollutants in urban air. The effects of PM on human health, associated especially with PM of ≤2.5μm in diameter, include asthma, lung cancer and cardiovascular disease. Consequently, major urban centers commonly monitor PM2.5 as part of their air quality management strategies. The Chemical...
book chapter 2021
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Leeuwenburgh, O. (author), Emerick, Alexandre A. (author), Jafarpour, Behnam (author), Zhang, Dongxiao (author), Luo, Xiaodong (author)
contribution to periodical 2021
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Wang, Z. (author), Hut, R.W. (author), van de Giesen, N.C. (author)
Particle filters are non-Gaussian filters, which means that the assumption that the error distribution of the ensemble should be Gaussian is unnecessary. Like the ensemble Kalman filter, particle filters are based on the Monte Carlo approximation to represent the distribution of model states. It requires a substantial number of particles to...
journal article 2020
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Jin, J. (author)
Severe dust storms present great threats to the environment, property and human health over the areas in the downwind of arid regions. Several dynamical dust models have been developed to predict the dust concentrations in the atmosphere. Currently, the accuracy of these models is limited mainly due to the imperfect modeling of dust emissions....
doctoral thesis 2019
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van Peet, J. (author)
Ozone (O3) directly and indirectly affects human health (depending on the altitude it is sometimes referred to as “good” or “bad” ozone) and has an important role in the temperature structure of the atmosphere. Because of the impact of ozone on air quality and climate change, the objective of this thesis is to improve our understanding of the...
doctoral thesis 2019
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Mazzoleni, M. (author), Amaranto, A. (author), Solomatine, D.P. (author)
This study aims at proposing novel approaches for integrating qualitative flow observations in a lumped hydrologic routing model and assessing their usefulness for improving flood estimation. Routing is based on a three-parameter Muskingum model used to propagate streamflow in five different rivers in the United States. Qualitative flow...
journal article 2019
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Jin, J. (author), Segers, Arjo (author), Heemink, A.W. (author), Yoshida, Mayumi (author), Han, Wei (author), Lin, H.X. (author)
Aerosol optical depths (AODs) from the new Himawari-8 satellite instrument have been assimilated in a dust simulation model over East Asia. This advanced geostationary instrument is capable of monitoring the East Asian dust storms which usually have great spatial and temporal variability. The quality of the data has been verified through a...
journal article 2019
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Jesus de Moraes, R. (author)
The exploitation of subsurface resources is, inevitably, surrounded by uncertainty. Limited knowledge on the economical, operational, and geological setting are just a few instances of sources of uncertainty. From the geological point of view, the currently available technology is not able to provide the description of the fluids and rock...
doctoral thesis 2018
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Goncalves Dias De Barros, E. (author)
Over the past decades, many technological advances have unlocked new opportunities to boost efficiency in the oil and gas industry (e.g., complex well drilling, injection of advanced chemicals, sophisticated instrumentation). The real engineering challenge is to apply these technologies in the best possible way for each particular case. This...
doctoral thesis 2018
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Pasetto, Damiano (author), Arenas-Castro, Salvador (author), Bustamante, Javier (author), Casagrandi, Renato (author), Chrysoulakis, Nektarios (author), Cord, Anna F. (author), Dittrich, Andreas (author), Domingo‐Marimon, Cristina (author), El Serafy, G.Y.H. (author), Karnieli, Arnon (author), Kordelas, Georgios A. (author), Manakos, Ioannis (author), Mari, Lorenzo (author), Monteiro, Antonio (author), Palazzi, Elisa (author), Poursanidis, Dimitris (author), Rinaldo, Andrea (author), Terzago, Silvia (author), Ziemba, A.M. (author), Ziv, Guy (author)
Spatiotemporal ecological modelling of terrestrial ecosystems relies on climatological and biophysical Earth observations. Due to their increasing availability, global coverage, frequent acquisition and high spatial resolution, satellite remote sensing (SRS) products are frequently integrated to in situ data in the development of ecosystem...
review 2018
Searched for: subject%3A%22data%255C%252Bassimilation%22
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