Literature DB >> 31955679

The physics of numerical analysis: a climate modelling case study.

T N Palmer1.   

Abstract

The case is made for a much closer synergy between climate science, numerical analysis and computer science. This article is part of a discussion meeting issue 'Numerical algorithms for high-performance computational science'.

Keywords:  artificial intelligence; climate modelling; exascale computing; low-precision modelling; stochastic parametrization

Year:  2020        PMID： 31955679      PMCID： PMC7015293          DOI： 10.1098/rsta.2019.0058

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN： 1364-503X            Impact factor:   4.226


  4 in total

1.  Inexactness and a future of computing.

Authors:  Krishna V Palem
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2014-06-28       Impact factor: 4.226

2.  Stochastic modelling and energy-efficient computing for weather and climate prediction.

Authors:  Tim Palmer; Peter Düben; Hugh McNamara
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2014-06-28       Impact factor: 4.226

3.  Addressing model error through atmospheric stochastic physical parametrizations: impact on the coupled ECMWF seasonal forecasting system.

Authors:  Antje Weisheimer; Susanna Corti; Tim Palmer; Frederic Vitart
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2014-06-28       Impact factor: 4.226

4.  A personal perspective on modelling the climate system.

Authors:  T N Palmer
Journal:  Proc Math Phys Eng Sci       Date:  2016-04       Impact factor: 2.704
  4 in total
  1 in total

1.  Numerical algorithms for high-performance computational science.

Authors:  Jack Dongarra; Laura Grigori; Nicholas J Higham
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2020-01-20       Impact factor: 4.226
  1 in total

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