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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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Hinestroza-Ramirez, Jhon E. (author), Lopez-Restrepo, Santiago (author), Yarce Botero, A. (author), Segers, Arjo (author), Rendon-Perez, Angela Maria (author), Isaza-Cadavid, Santiago (author), Heemink, A.W. (author), Quintero, Olga Lucia (author)Chemical transport models (CTM) are crucial for simulating the distribution of air pollutants, such as particulate matter, and evaluating their impact on the environment and human health. However, these models rely heavily on accurate emission inventory and meteorological inputs, usually obtained from reanalyzed weather data, such as the...journal article 2023
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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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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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Data Assimilation as a Tool to Improve Chemical Transport Models Performance in Developing CountriesLopez 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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le Coz, C.M.L. (author), Heemink, A.W. (author), Verlaan, M. (author), van de Giesen, N.C. (author)Many satellite-based estimates use gauge information for bias correction. In general, bias-correction methods are focused on the intensity error and do not explicitly correct possible position or timing errors. However, position and timing errors in rainfall estimates can also lead to errors in the rainfall occurrence or the intensity. This is...journal article 2021
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Yarce Botero, A. (author), Lopez Restrepo, S. (author), Pinel Pelaez, N. (author), Quintero-Montoya, Olga (author), Segers, Arjo (author), Heemink, A.W. (author)In this work, we present the development of a 4D-Ensemble-Variational (4DEnVar) data assimilation technique to estimate NOx top-down emissions using the regional chemical transport model LOTOS-EUROS with the NO2 observations from the TROPOspheric Monitoring Instrument (TROPOMI). The assimilation was performed for a domain in the northwest of...journal article 2021
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Lopez Restrepo, S. (author), Nino-Ruiz, Elias D. (author), Guzman-Reyes, Luis G. (author), Yarce, Andres (author), Quintero, O. L. (author), Pinel, Nicolas (author), Segers, Arjo (author), Heemink, A.W. (author)In this paper, we propose an efficient and practical implementation of the ensemble Kalman filter via shrinkage covariance matrix estimation. Our filter implementation combines information brought by an ensemble of model realizations, and that based on our prior knowledge about the dynamical system of interest. We perform the combination of...journal article 2021
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Yarce Botero, A. (author), Quintero Montoya, O.L. (author), Lopez Restrepo, S. (author), Pinel Pelaez, N. (author), Hinestroza Ramirez, J.E. (author), Nino-Ruiz, Elias David (author), Anderson Flórez, Jimmy (author), Rendón, Angela María (author), Alvarez-Laínez, Monica Lucia (author), Heemink, A.W. (author)This chapter book presents Medellín Air qUality Initiative or MAUI Project; it tells a brief story of this teamwork, their scientific and technological directions. The modeling work focuses on the ecosystems and human health impact due to the exposition of several pollutants transported from long-range places and deposited. For this objective,...book chapter 2021
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Lopez Restrepo, S. (author), Yarce Botero, A. (author), Pinel Pelaez, N. (author), Quintero Montoya, O.L. (author), Segers, Arjo (author), Heemink, A.W. (author)The use of low air quality networks has been increasing in recent years to study urban pollution dynamics. Here we show the evaluation of the operational Aburrá Valley’s low-cost network against the official monitoring network. The results show that the PM<sub>2.5</sub> low-cost measurements are very close to those observed by the official...journal article 2021
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Xiao, C. (author), Leeuwenburgh, O. (author), Lin, H.X. (author), Heemink, A.W. (author)Imaging-type monitoring techniques are used in monitoring dynamic processes in many domains, including medicine, engineering, and geophysics. This paper aims to propose an efficient workflow for application of such data for the conditioning of simulation models. Such applications are very common in e.g. the geosciences, where large-scale...journal article 2021
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Jin, J. (author), Segers, Arjo (author), Lin, H.X. (author), Henzing, Bas (author), Wang, X. (author), Heemink, A.W. (author), Liao, Hong (author)When calibrating simulations of dust clouds, both the intensity and the position are important. Intensity errors arise mainly from uncertain emission and sedimentation strengths, while position errors are attributed either to imperfect emission timing or to uncertainties in the transport. Though many studies have been conducted on the...journal article 2021
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Jin, J. (author), Segers, Arjo (author), Liao, Hong (author), Heemink, A.W. (author), Kranenburg, Richard (author), Lin, H.X. (author)Emission inversion using data assimilation fundamentally relies on having the correct assumptions about the emission background error covariance. A perfect covariance accounts for the uncertainty based on prior knowledge and is able to explain differences between model simulations and observations. In practice, emission uncertainties are...journal article 2020
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Lu, S. (author), ten Veldhuis, Marie-claire (author), van de Giesen, N.C. (author), Heemink, A.W. (author), Verlaan, M. (author)Satellite and reanalysis precipitation products perform poorly over regions with low-density ground observation networks. In order to improve space-dependent parameterization of precipitation estimation models in data-scarce environments, the delineation boundaries of precipitation regimes should be accurately identified. Existing approaches...journal article 2020
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- le Coz, C.M.L. (author), Heemink, A.W. (author), Verlaan, M. (author), van de Giesen, N.C. (author) poster 2019
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Vijn, A.R.P.J. (author), Lepelaars, Eugene (author), Dubbeldam, J.L.A. (author), van Gijzen, M.B. (author), Heemink, A.W. (author)This paper presents a parameter estimation method to determine the linear behavior of an object constructed of thin plates. Based on the magnetostatic field equations, an integral equation is derived that fully determines the induced magnetization, whenever the spatial magnetic susceptibility distribution is known. This forward problem is...journal article 2019
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le Coz, C.M.L. (author), Heemink, A.W. (author), Verlaan, M. (author), ten Veldhuis, Marie-claire (author), van de Giesen, N.C. (author)Rainfall estimates based on satellite data are subject to errors in the position of the rainfall events in addition to errors in their intensity. This is especially true for localized rainfall events such as the convective rainstorms that occur during the monsoon season in sub-Saharan Africa. Many satellite-based estimates use gauge...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), Fonseca, Rahul-Mark (author), Helici, Mircea A. (author), Heemink, A.W. (author), Jansen, J.D. (author)We present an efficient workflow that combines multiscale (MS) forward simulation and stochastic gradient computation - MS-StoSAG - for the optimization of well controls applied to waterflooding under geological uncertainty. A two-stage iterative Multiscale Finite Volume (i-MSFV), a mass conservative reservoir simulation strategy, is employed as...journal article 2019
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de Zeeuw, W. (author), Jesus de Moraes, R. (author), Heemink, A.W. (author), Jansen, J.D. (author)We propose a novel adaptive, adjoint-based, iterative multiscale finite volume (i-MSFV) method. The method aims to reduce the computational cost of the smoothing stage of the original i-MSFV method by selectively choosing fine-scale sub-domains (or sub-set of primary variables) to solve for. The selection of fine-scale primary variables is...conference paper 2019