The use of imprecise processing to improve accuracy in weather \& climate prediction

DOI10.1016/j.jcp.2013.10.042zbMath1349.86032OpenAlexW1994023085WikidataQ56984640 ScholiaQ56984640MaRDI QIDQ349240

Peter D. Düben, Hugh McNamara, Tim N. Palmer

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.2013.10.042

zbMATH Keywords

scale separationatmospheric modelsLorenz '96single precisionspectral discretisationstochastic processor

Mathematics Subject Classification ID

Meteorology and atmospheric physics (86A10) Computational methods for problems pertaining to geophysics (86-08)

Cites Work

• A statistically accurate modified quasilinear Gaussian closure for uncertainty quantification in turbulent dynamical systems
• A computational strategy for multiscale systems with applications to Lorenz 96 model
• Algorithm-Based Fault Tolerance for Matrix Operations
• An Algorithm for the Machine Calculation of Complex Fourier Series

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