Zobrazeno 1 - 10
of 60
pro vyhledávání: '"B. van Werkhoven"'
Autor:
R. Hut, N. Drost, N. van de Giesen, B. van Werkhoven, B. Abdollahi, J. Aerts, T. Albers, F. Alidoost, B. Andela, J. Camphuijsen, Y. Dzigan, R. van Haren, E. Hutton, P. Kalverla, M. van Meersbergen, G. van den Oord, I. Pelupessy, S. Smeets, S. Verhoeven, M. de Vos, B. Weel
Publikováno v:
Geoscientific Model Development, Vol 15, Pp 5371-5390 (2022)
Hutton et al. (2016) argued that computational hydrology can only be a proper science if the hydrological community makes sure that hydrological model studies are executed and presented in a reproducible manner. Hut, Drost and van de Giesen replied t
Externí odkaz:
https://doaj.org/article/ca80fb3662f244a5b4c8599d0d8f752f
Publikováno v:
SoftwareX, Vol 12, Iss , Pp 100549- (2020)
Detecting single-pulse astronomical transients, such as pulsars or fast radio bursts, requires collecting and processing enormous amounts of data. AMBER is a software processing pipeline that makes it possible to detect these single-pulse phenomena i
Externí odkaz:
https://doaj.org/article/aa1d518bd2a244249ea7e86582c95eb8
Autor:
I. Pelupessy, B. van Werkhoven, A. van Elteren, J. Viebahn, A. Candy, S. Portegies Zwart, H. Dijkstra
Publikováno v:
Geoscientific Model Development, Vol 10, Pp 3167-3187 (2017)
In this paper we present the Oceanographic Multipurpose Software Environment (OMUSE). OMUSE aims to provide a homogeneous environment for existing or newly developed numerical ocean simulation codes, simplifying their use and deployment. In this w
Externí odkaz:
https://doaj.org/article/0bf6a3e27bfe4ce69c0078ad639a16cd
Autor:
S.-E. Brunnabend, H. A. Dijkstra, M. A. Kliphuis, H. E. Bal, F. Seinstra, B. van Werkhoven, J. Maassen, M. van Meersbergen
Publikováno v:
Ocean Science, Vol 13, Iss 1, Pp 47-60 (2017)
An important contribution to future changes in regional sea level extremes is due to the changes in intrinsic ocean variability, in particular ocean eddies. Here, we study a scenario of future dynamic sea level (DSL) extremes using a high-resolution
Externí odkaz:
https://doaj.org/article/9b8a61cf23244168b413dca7637ab84f
Autor:
S.-E. Brunnabend, H. A. Dijkstra, M. A. Kliphuis, B. van Werkhoven, H. E. Bal, F. Seinstra, J. Maassen, M. van Meersbergen
Publikováno v:
Ocean Science, Vol 10, Iss 6, Pp 881-891 (2014)
As an extreme scenario of dynamical sea level changes, regional sea surface height (SSH) changes that occur in the North Atlantic due to an abrupt weakening of the Atlantic meridional overturning circulation (AMOC) are simulated. Two versions of the
Externí odkaz:
https://doaj.org/article/cdf2585857784e9188706331d3969c5e
Autor:
B. van Werkhoven, J. Maassen, M. Kliphuis, H. A. Dijkstra, S. E. Brunnabend, M. van Meersbergen, F. J. Seinstra, H. E. Bal
Publikováno v:
Geoscientific Model Development, Vol 7, Iss 1, Pp 267-281 (2014)
The Parallel Ocean Program (POP) is used in many strongly eddying ocean circulation simulations. Ideally it would be desirable to be able to do thousand-year-long simulations, but the current performance of POP prohibits these types of simulations
Externí odkaz:
https://doaj.org/article/75e5cef625d0480aaf40d5220f6b1694
Akademický článek
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Publikováno v:
2020 XXXIIIrd General Assembly and Scientific Symposium of the International Union of Radio Science.
This decade, the Square Kilometre Array (SKA) will perform its first observations. Preparations for building dishes, antennas, correlators and infrastructure are well underway. Concurrently, software for the processing of SKA observations is develope
Publikováno v:
SoftwareX, Vol 12, Iss, Pp 100549-(2020)
Detecting single-pulse astronomical transients, such as pulsars or fast radio bursts, requires collecting and processing enormous amounts of data. AMBER is a software processing pipeline that makes it possible to detect these single-pulse phenomena i
Autor:
Jason Maassen, Ceriel J. H. Jacobs, Henri E. Bal, Zeno Geradts, Pieter Hijma, B. van Werkhoven
Publikováno v:
van Werkhoven, B, Hijma, P, Jacobs, C J H, Maassen, J, Geradts, Z J M H & Bal, H E 2018, ' A Jungle Computing approach to common image source identification in large collections of images ', Digital Investigation, vol. 27, pp. 3-16 . https://doi.org/10.1016/j.diin.2018.09.002
Digital Investigation, 27, 3-16. Elsevier
Digital Investigation, 27, 3-16. Elsevier
Analyzing digital images is an important investigation in forensics with the ever increasing number of images from computers and smartphones. In this article we aim to advance the state-of-the-art in common image source identification (which images o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d89562dbf505cad1001eeab59e0ab46
https://hdl.handle.net/1871.1/e1df3d1b-8cc1-476c-9901-0b226975b7e3
https://hdl.handle.net/1871.1/e1df3d1b-8cc1-476c-9901-0b226975b7e3