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Dorrestijn, J. (author), Crommelin, D.T. (author), Siebesma, A.P. (author), Jonker, H.J.J. (author), Jakob, C. (author)
Observational data of rainfall from a rain radar in Darwin, Australia, are combined with data defining the large-scale dynamic and thermodynamic state of the atmosphere around Darwin to develop a multicloud model based on a stochastic method using conditional Markov chains. The authors assign the radar data to clear sky, moderate congestus,...
journal article
document
Brinkman, W.P. (author), Veling, W. (author), Dorrestijn, E. (author), Sandino, G. (author), Vakili, A. (author), Van der Gaag, M. (author)
A virtual reality environment was created to study psychotic symptoms of patients that experience psychosis. In the environment people could navigate through a bar with a gamepad while wearing a head mounted display. Their task was to find five virtual characters that have a small label number on their chest. The density and ethnic appearance of...
journal article 2011
document
Dorrestijn, J. (author), Crommelin, D.T. (author), Siebesma, A.P. (author), Jonker, H.J.J. (author), Selten, F. (author)
Conditional Markov chain (CMC) models have proven to be promising building blocks for stochastic convection parameterizations. In this paper, it is demonstrated how two different CMC models can be used as mass flux closures in convection parameterizations. More specifically, the CMC models provide a stochastic estimate of the convective area...
journal article 2016
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Dorrestijn, J. (author)
Clouds are chaotic, difficult to predict, but above all, magnificent natural phenomena. There are different types of clouds: stratus, a layer of clouds that may produce drizzle, cirrus, clouds in the higher parts of the atmosphere, and cumulus, clouds that arise in convective updrafts. Thermals, rising air that is often used by birds and gliders...
doctoral thesis 2016
document
Damos, Petros T. (author), Dorrestijn, J. (author), Thomidis, Thomas (author), Tuells, José (author), Caballero, Pablo (author)
Understanding and predicting mosquito population dynamics is crucial for gaining insight into the abundance of arthropod disease vectors and for the design of effective vector control strategies. In this work, a climate-conditioned Markov chain (CMC) model was developed and applied for the first time to predict the dynamics of vectors of...
journal article 2021
document
Dorrestijn, Eljo (author)
In the field of ecology, camera traps are important tools to collect information on the wildlife of certain areas. The problem that arises with many camera traps is that they can collect more images than a human can realistically go trough all by themselves. To help classify these images computer vision is proposed as an alternative to manual...
bachelor thesis 2021
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