Searched for: subject:"Data%5C+assimilation"
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Liu, K. (author)

doctoral thesis 2017
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Lu, S. (author)
Volcanic eruptions release a large amount of volcanic ash, which can pose hazard to human and animal health, land transportation, and aviation safety. Volcanic Ash Transport and Dispersion (VATD) models are critical tools to provide advisory information and timely volcanic ash forecasts. Due to the complexity and the uncertainty of many dynamic...
doctoral thesis 2017
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Lu, S. (author), Heemink, A.W. (author), Lin, H.X. (author), Segers, Arjo (author), Fu, Guangliang (author)
Remote sensing, as a powerful tool for monitoring atmospheric phenomena, has been playing an increasingly important role in inverse modeling. Remote sensing instruments measure quantities that often combine several state variables as one. This creates very strong correlations between the state variables that share the same observation variable....
journal article 2017
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Fu, Guangliang (author), Prata, Fred (author), Lin, H.X. (author), Heemink, A.W. (author), Segers, AJ (author), Lu, S. (author)
Using data assimilation (DA) to improve model forecast accuracy is a powerful approach that requires available observations. Infrared satellite measurements of volcanic ash mass loadings are often used as input observations for the assimilation scheme. However, because these primary satellite-retrieved data are often two-dimensional (2-D) and...
journal article 2017
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Fu, Guangliang (author)
The 2010 Eyjafjallajökull volcano eruption had serious consequences to civil aviation. This has initiated a lot of research on volcanic ash forecasting in recent years. For forecasting the volcanic ash transport after eruption onset, a volcanic ash transport and diffusion model (VATDM) needs to be run with Eruption Source Parameters (ESPs) such...
doctoral thesis 2017
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Benndorf, J. (author), Jansen, J.D. (author)

Advanced data acquisition and process modelling technology provide ‘real-time’ data and decision support capacity for different aspects of the resource extraction process. Closed-loop approaches have recently been applied to utilize information extracted from these data in combination with advanced computing technology for improved production...

journal article 2017
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Dhadly, Manbharat (author), Emmert, John (author), Drob, Douglas (author), Conde, Mark (author), Doornbos, E.N. (author), Shepherd, Gordon (author), Makela, Jonathan (author), Wu, Qian (author), Niciejewski, Rick (author), Ridley, Aaron J. (author)

This paper investigates the large-scale seasonal dependence of geomagnetically quiet time, northern high-latitude F region thermospheric winds by combining extensive observations from eight ground-based (optical remote sensing) and three space-based (optical remote sensing and in situ) instruments. To provide a comprehensive picture of the...

journal article 2017
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Dong, J. (author)
doctoral thesis 2016
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Dong, J. (author), Steele-Dunne, S.C. (author), Ochsner, Tyson E. (author), Hatch, Christine E. (author), Sayde, Chadi (author), Selker, J.S. (author), Tyler, Scott (author), Cosh, Michael H. (author), van de Giesen, N.C. (author)

This study demonstrated a new method for mapping high-resolution (spatial: 1 m, and temporal: 1 h) soil moisture by assimilating distributed temperature sensing (DTS) observed soil temperatures at intermediate scales. In order to provide robust soil moisture and property estimates, we first proposed an adaptive particle batch smoother...

journal article 2016
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Van Velzen, C. (author), Altaf, M.U. (author), Verlaan, M. (author)
Data assimilation methods provide a means to handle the modeling errors and uncertainties in sophisticated ocean models. In this study, we have created an OpenDA-NEMO framework unlocking the data assimilation tools available in OpenDA for use with NEMO models. This includes data assimilation methods, automatic parallelization, and a recently...
journal article 2016
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Lu, S. (author), Lin, X. (author), Heemink, A.W. (author), Fu, G. (author), Segers, A.J. (author)
Volcanic ash forecasting is a crucial tool in hazard assessment and operational volcano monitoring. Emission parameters such as plume height, total emission mass, and vertical distribution of the emission plume rate are essential and important in the implementation of volcanic ash models. Therefore, estimation of emission parameters using...
journal article 2015
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Fu, G. (author), Lin, H.X. (author), Heemink, A.W. (author), Segers, A.J. (author), Lu, S. (author), Palsson, T. (author)
The 2010 Eyjafjallajokull volcano eruption had serious consequences to civil aviation. This has initiated a lot of research on volcanic ash transport forecast in recent years. For forecasting the volcanic ash transport after eruption onset, a volcanic ash transport and diffusion model (VATDM) needs to be run with Eruption Source Parameters (ESP)...
journal article 2015
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Kahrobaei, S. (author), Mansoori, M. (author), Joosten, G.J.P. (author), Van den Hof, P.M.J. (author), Jansen, J.D. (author)
It is well known that parameter updating of large-scale numerical reservoir flow models (a.k.a. ‘computer assisted history matching’) is an ill-posed inverse problem. Typically the number of uncertain parameters in a reservoir flow model is very large whereas the available information for estimating these parameters is limited. The classic...
conference paper 2014
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Garcia Triana, I.D.T.F. (author)
Currently, available models are not able to accurately predict the temporal evolution of coastal morphodynamic processes. The main reason for this, is that essential components governing this evolution are neither fully identified nor understood. Additionally, there is high uncertainty in some of the parameterizations and their input parameters....
doctoral thesis 2014
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Pelc, J.S. (author)
In the presence of environmental issues caused by climate change and eutrophication, ecosystem models capable of providing accurate predictions are of considerable interest. Even the most advanced ecological models are not capable of reproducing reality perfectly, therefore it is essential to integrate them with the available observations. Data...
doctoral thesis 2013
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Krymskaya, M.V. (author)
Global energy use is increasing. As societies advance, they will continue to need energy to power residential and commercial buildings, in the industrial sector, for transportation and other vital services. To satisfy this rising demand, liquid, natural gas, coal, nuclear power and renewable fuel sources are extensively developed. Particularly...
doctoral thesis 2013
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Glegola, M.A. (author)
In this thesis the added value of gravity observations for hydrocarbon reservoir monitoring and characterization is investigated. Reservoir processes and reservoir types most suitable for gravimetric monitoring are identified. Major noise sources affecting time-lapse gravimetry are analyzed. The added value of gravity data for reservoir...
doctoral thesis 2013
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Rings, J. (author), Vrugt, J.A. (author), Schoups, G. (author), Huisman, J.A. (author), Vereecken, H. (author)
Bayesian model averaging (BMA) is a standard method for combining predictive distributions from different models. In recent years, this method has enjoyed widespread application and use in many fields of study to improve the spread-skill relationship of forecast ensembles. The BMA predictive probability density function (pdf) of any quantity of...
journal article 2012
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Kaleta, M.P. (author)
Since the world's energy demand increases every year, the oil & gas industry makes a continuous effort to improve fossil fuel recovery. Physics-based petroleum reservoir modeling and closed-loop model-based reservoir management concept can play an important role here. In this concept measured data are used to improve the geological model, while...
doctoral thesis 2011
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Matgen, P. (author)
The technique of active microwave remote sensing has made much progress toward its high potential to monitor water storage changes in terrestrial surface and subsurface water bodies at various spatial and temporal scales. The number of studies demonstrating the support these data can offer in hydrological and hydraulic model building, model...
doctoral thesis 2011
Searched for: subject:"Data%5C+assimilation"
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