Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Daan Crommelin"'
Autor:
Federica Gugole, Luc E Coffeng, Wouter Edeling, Benjamin Sanderse, Sake J de Vlas, Daan Crommelin
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 9, p e1009355 (2021)
Many countries are currently dealing with the COVID-19 epidemic and are searching for an exit strategy such that life in society can return to normal. To support this search, computational models are used to predict the spread of the virus and to ass
Externí odkaz:
https://doaj.org/article/4cc442746df74e1a8b38be35869e1fa0
Autor:
Fredrik Jansson, Gijs van den Oord, Inti Pelupessy, Johanna H. Grönqvist, A. Pier Siebesma, Daan Crommelin
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 11, Iss 9, Pp 2958-2979 (2019)
Abstract As a computationally attractive alternative for global large eddy simulations (LESs), we investigate the possibility of using comprehensive three‐dimensional LESs as a superparameterization that can replace all traditional parameterization
Externí odkaz:
https://doaj.org/article/9c6830fd2de948a78094b68b87d8d8ea
Autor:
Gijs van den Oord, Fredrik Jansson, Inti Pelupessy, Maria Chertova, Johanna H. Grönqvist, Pier Siebesma, Daan Crommelin
Publikováno v:
SoftwareX, Vol 12, Iss , Pp 100608- (2020)
We present a Python interface for the Dutch Atmospheric Large Eddy Simulation (DALES), an existing Fortran code for high-resolution, turbulence-resolving simulation of atmospheric physics. The interface is based on an infrastructure for remote and pa
Externí odkaz:
https://doaj.org/article/e5ec2d2e8d2245d395123bcd91b39e03
Autor:
Anne Eggels, Daan Crommelin
Publikováno v:
Entropy, Vol 21, Iss 2, p 100 (2019)
In this study, we present a novel method for quantifying dependencies in multivariate datasets, based on estimating the Rényi mutual information by minimum spanning trees (MSTs). The extent to which random variables are dependent is an important que
Externí odkaz:
https://doaj.org/article/2608dc1f71c946ff8982d440542dfb2a
Publikováno v:
Computers & Mathematics with Applications, 143, 94-107
Computers and Mathematics with Applications, 143, 94-107. Agon Elsevier
Computers and Mathematics with Applications, 143, 94-107. Agon Elsevier
Neural closure models have recently been proposed as a method for efficiently approximating small scales in multiscale systems with neural networks. The choice of loss function and associated training procedure has a large effect on the accuracy and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95f44a6130f86cd8f3e8b2fa64ac862f
https://doi.org/10.1016/j.camwa.2023.04.030
https://doi.org/10.1016/j.camwa.2023.04.030
Autor:
Fabian Dablander, Tessa Blanken, Charlotte Coosje Tanis, Rosa Breed, Luc E. Coffeng, Daan Crommelin, Wouter Edeling, Pieter Gautier, Beatrice de Graaf, Federica Gugole, Frenk van Harreveld, Dewi Jager, Lotte Jensen, Rina Knoeff, Melle van der Linde, Benjamin Sanderse, Anniek De Ruijter, Sake de Vlas, Catrien Santing, Bert Zwart, Hans Heesterbeek, Denny Borsboom
Lockdowns and associated measures imposed in response to the COVID-19 crisis inflict severe damage to society. Across the globe, scientists and policymakers study ways to lift measures while maintaining control of virus spread in circumstances that c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d25f8173ed6211d29fe8bda16f1b2313
https://doi.org/10.31234/osf.io/3jz8e
https://doi.org/10.31234/osf.io/3jz8e
Autor:
Fredrik Jansson, Gijs van den Oord, Inti Pelupessy, Maria Chertova, Johanna H. Grönqvist, A. Pier Siebesma, Daan Crommelin
Publikováno v:
Journal of Advances in Modeling Earth Systems, 14(8), e2021MS002892.1-e2021MS002892.16
Journal of Advances in Modeling Earth Systems, 14(8)
Journal of Advances in Modeling Earth Systems, 14(8):e2021MS002892. Wiley-Blackwell
Journal of Advances in Modeling Earth Systems, 14(8)
Journal of Advances in Modeling Earth Systems, 14(8):e2021MS002892. Wiley-Blackwell
In atmospheric modeling, superparameterization (SP) has gained popularity as a technique to improve cloud and convection representations in large-scale models by coupling them locally to cloud-resolving models. We show how the different representatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f5a75d15479d02c19c50dcb6add7a3d
http://www.scopus.com/inward/record.url?scp=85136938901&partnerID=8YFLogxK
http://www.scopus.com/inward/record.url?scp=85136938901&partnerID=8YFLogxK
Autor:
Daan Crommelin, Benjamin Sanderse, Luc E. Coffeng, Sake J. de Vlas, Wouter Edeling, Federica Gugole
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 9, p e1009355 (2021)
PLoS Computational Biology
PLoS Computational Biology, 17(9):1009355. Public Library of Science
PLoS Computational Biology, 17(9):e1009355. Public Library of Science
PLoS Computational Biology, 17(9)
PLoS Computational Biology
PLoS Computational Biology, 17(9):1009355. Public Library of Science
PLoS Computational Biology, 17(9):e1009355. Public Library of Science
PLoS Computational Biology, 17(9)
Many countries are currently dealing with the COVID-19 epidemic and are searching for an exit strategy such that life in society can return to normal. To support this search, computational models are used to predict the spread of the virus and to ass
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba741b3b902698da703bd059c8ad8478
https://doaj.org/article/4cc442746df74e1a8b38be35869e1fa0
https://doaj.org/article/4cc442746df74e1a8b38be35869e1fa0