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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
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Slobbe, D.C. (author), Sumihar, JH (author), Frederikse, T. (author), Verlaan, M. (author), Klees, R. (author), Zijl, F (author), Hashemi Farahani, H. (author), Broekman, R (author)In this paper, we present a novel Kalman filter approach to combine a hydrodynamic model-derived lowest astronomical tide (LAT) surface with tide gauge record-derived LAT values. In the approach, tidal water levels are assimilated into the model. As such, the combination is guided by the model physics. When validating the obtained “Kalman...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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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
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Kaleta, M.P. (author), Hanea, R.G. (author), Heemink, A.W. (author), Jansen, J.D. (author)Gradient-based history matching algorithms can be used to adapt the uncertain parameters in a reservoir model using production data. They require, however, the implementation of an adjoint model to compute the gradients, which is usually an enormous programming effort. We propose a new approach to gradient-based history matching which is based...journal article 2010
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Van Velzen, N. (author)The accuracy of dynamic simulation models can be increased by using observations in conjunction with a data assimilation or model calibration algorithm. However, implementing such algorithms usually increases the complexity of the model software significantly. By using concepts from object oriented programming, this thesis proposes a software...doctoral thesis 2010
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Przybysz-Jarnut, J.K. (author)The numerical simulation of hydrocarbon reservoir flow is necessarily an approximation of the flow in the real reservoir. The knowledge about the reservoir is limited and some of the processes occurring are either not taken into account or not described in an adequate way. The parameters influencing the flow are usually not known, except in a...doctoral thesis 2010
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Rommelse, J.R. (author)The research presented in this thesis aims at improving computer models that allow simulations of water, oil and gas flows in subsurface petroleum reservoirs. This is done by integrating, or assimilating, measurements into physics-bases models. In recent years petroleum technology has developed rapidly. Nowadays wells can be drilled to a depth...doctoral thesis 2009
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El Serafy, G.Y.H. (author), Mynett, A.E. (author)Numerical models of a water system are always based on assumptions and simplifications that may result in errors in the model's predictions. Such errors can be reduced through the use of data assimilation and thus can significantly improve the success rate of the predictions and operational forecasts. The ensemble Kalman filter (EnKF) is a...journal article 2008