Ensemble-type numerical uncertainty information from single model integrations
DOI10.1016/j.jcp.2015.02.043zbMath1349.86011OpenAlexW1967017847MaRDI QIDQ349857
Jochem Marotzke, Florian Rauser, Peter Korn
Publication date: 5 December 2016
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jcp.2015.02.043
learning algorithmshallow water equationsautomatic differentiationstochastic methodsensemble methodsgeophysical fluid dynamicsalgorithmic differentiationnumerical errorsicosahedral gridmixed finite volume/finite difference scheme
Hydrology, hydrography, oceanography (86A05) Finite difference methods applied to problems in fluid mechanics (76M20) Finite volume methods applied to problems in fluid mechanics (76M12) Meteorology and atmospheric physics (86A10) Computational methods for problems pertaining to geophysics (86-08)
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