2015
DOI: 10.1007/s11831-015-9152-1
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Abstract: Numerical Weather Prediction (NWP) is in a period of transition. As resolutions increase, global models are moving towards fully nonhydrostatic dynamical cores, with the local and global models using the same governing equations; therefore we have reached a point where it will be necessary to use a single model for both applications. The new dynamical cores at the heart of these unified models are designed to scale e ciently on clusters with hundreds of thousands or even millions of CPU cores and GPUs. Operati… Show more

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Cited by 52 publications
(39 citation statements)
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References 291 publications
(233 reference statements)
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“…Recent reviews have pointed out the necessity to develop new-generation atmospheric models, using stateof-the-art numerical methods, to adequately capture all the physical processes needed for a complete representation of our climate system (Slingo et al 2009;Marras et al 2016). In particular, it has been argued that increasing the flexibility offered by the numerical grids used in atmospheric models will be crucial to improve the representation of the various spatial and physical scales involved (Williamson 2007;Slingo et al 2009;Staniforth and Thuburn 2012).…”
Section: Introductionmentioning
confidence: 99%
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“…Recent reviews have pointed out the necessity to develop new-generation atmospheric models, using stateof-the-art numerical methods, to adequately capture all the physical processes needed for a complete representation of our climate system (Slingo et al 2009;Marras et al 2016). In particular, it has been argued that increasing the flexibility offered by the numerical grids used in atmospheric models will be crucial to improve the representation of the various spatial and physical scales involved (Williamson 2007;Slingo et al 2009;Staniforth and Thuburn 2012).…”
Section: Introductionmentioning
confidence: 99%
“…Advanced numerical methods are required for which the discretized equations can be formulated in a general framework while preserving important stability and accuracy properties. The numerical methods used to solve the basic flow equations are still often based on finite-difference methods, but if one wants to efficiently take advantage of advanced meshing techniques, numerical discretizations have to be redeveloped in consequence (Marras et al 2016). In this context, both finite-volume and finite-element methods (FEMs) emerge as good candidates to solve atmospheric flows on irregular, adaptive grids because of their overall flexibility, high scalability, and excellent conservation properties.…”
Section: Introductionmentioning
confidence: 99%
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“…Consequently, there is already available a substantial number of related reviews, developed from various angles and through varied methodological preferences, many of which are referenced in this paper. In particular, we refer the interested reader to [26,62] for indepth discussions of theories guiding multiscale atmospheric modelling and to [146,177,88,144,23,95], among the others, for specialised reviews of the numerical methods explored in dynamical cores of atmospheric models. To avoid duplicating the existing literature, we instead outline the historical background to the interdisciplinary crossfertilisation at the foundation of the all-scale atmospheric models, with particular emphasis on a select class of versatile finite-volume methods discussed in the body of the paper.…”
Section: Historical Backgroundmentioning
confidence: 99%
“…Сущность метода состоит в том, что иско-мую непрерывную величину аппроксимируют кусоч-ным набором простейших функций, заданных над ограниченными конечными элементами, т.е. породный массив представляется в виде набора относительно больших конечных элементов, как правило, связанных между собой в отдельных узлах (Sdvyzhko, Babets, Kravchenko, & Smirnov, 2016;Marras et al, 2015).…”
Section: методики экспериментовunclassified