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ITHACA SIGNED

An Information Theoretic Approach to Improving the Reliability of Weather and Climate Simulations

Total Cost €

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EC-Contrib. €

0

Partnership

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 ITHACA project word cloud

Explore the words cloud of the ITHACA project. It provides you a very rough idea of what is the project "ITHACA" about.

small    dependent    synergy    variety    weather    biggest    variables    power    hypothesis    pioneering    numerical    hardware    consumption    sub    estimates    parametrisation    ideas    content    resolution    imprecision    hence    idealised    testable    determinant    parametrisations    wavenumber    size    presented    stochastic    climate    single    arising    degradation    vertical    accuracy    science    basis    negligible    exascale    forecast    components    flow    scientific    arithmetic    carry    regimes    benefits    paramount    atmospheric    reliability    generation    maintaining    core    significantly    earth    efficiency    lies    movement    ensemble    theoretic    minimised    pi    interact    persistent    representation    model    energy    tested    reinvested    models    diagnostics    sorely    bits    advent    timed    supercomputing    mixed    rigorously    computational    paid    computer    nonlinear    dynamical    modules    tools    grid    precision    emulators    irreducible    scales   

Project "ITHACA" data sheet

The following table provides information about the project.

Coordinator
THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD 

Organization address
address: WELLINGTON SQUARE UNIVERSITY OFFICES
city: OXFORD
postcode: OX1 2JD
website: www.ox.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 2˙494˙117 €
 EC max contribution 2˙494˙117 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2016-ADG
 Funding Scheme ERC-ADG
 Starting year 2017
 Duration (year-month-day) from 2017-10-01   to  2022-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD UK (OXFORD) coordinator 2˙494˙117.00

Map

 Project objective

The aim of this project is to develop a new synergy between climate and computer science to increase the accuracy and hence reliability of comprehensive weather and climate models. The scientific basis for this project lies in the PI’s pioneering research on stochastic sub-grid parametrisations for climate models. These parametrisations provide estimates of irreducible uncertainty in weather and climate models, and will be used to determine where numerical precision for model variables can be reduced without degradation. By identifying those bits that carry negligible information – typically in high-wavenumber components of the dynamical core and within parametrisation and Earth-System modules – computational resources can be reinvested into areas (resolution, process representation, ensemble size) where they are sorely needed. This project will determine scale-dependent estimates of information content as rigorously as possible based on a variety of new tools, which include information-theoretic diagnostics and emulators of imprecision, and in a variety of models, from idealised to comprehensive. The project will contribute significantly to the development of next-generation weather and climate models and is well timed for the advent of exascale supercomputing where energy efficiency is paramount and where movement of bits, being the single biggest determinant of power consumption, must be minimised. The ideas will be tested on emerging hardware capable of exploiting the benefits of mixed-precision arithmetic. A testable scientific hypothesis is presented: a proposed increase in forecast reliability arising from an increase in the forecast model’s vertical resolution, the cost being paid for by a reduction in precision of small-scale variables. This project can be expected to provide new scientific understanding of how different scales interact in the nonlinear climate system, for example in maintaining persistent atmospheric flow regimes.

 Publications

year authors and title journal last update
List of publications.
2019 M Kloewer, M Giordano
SoftPosit.jl
published pages: , ISSN: , DOI: 10.5281/zenodo.3541798
Zenodo 2020-04-24
2019 M Kloewer
Lorenz63.jl
published pages: , ISSN: , DOI: 10.5281/zenodo.3541740
Zenodo 2020-04-24
2020 M Kloewer, PD Dueben, TN Palmer
Weather and Climate models in 16-bit arithmetics: Number formats, mitigation and scope.
published pages: , ISSN: 0027-0644, DOI:
Journal of Advances in Modeling Earth Systems (JAMES) in review 2020-04-24
2020 M Kloewer
ShallowWaters.jl
published pages: , ISSN: , DOI: 10.5281/zenodo.3626102
Zenodo 2020-04-24
2018 Chris J. Budd, Andrew T.T. McRae, Colin J. Cotter
The scaling and skewness of optimally transported meshes on the sphere
published pages: 540-564, ISSN: 0021-9991, DOI: 10.1016/j.jcp.2018.08.028
Journal of Computational Physics 375 2020-04-24
2020 Andrew McRae, Tim Palmer
Using reduced-precision arithmetic in the adjoint model of MITgcm
published pages: , ISSN: , DOI:
2020-04-24
2019 M Kloewer
coolFFT.jl
published pages: , ISSN: , DOI:
github 2020-04-24
2019 M Kloewer
Jenks.jl
published pages: , ISSN: , DOI:
github 2020-04-24
2019 M Kloewer
Lorenz96.jl
published pages: , ISSN: , DOI: 10.5281/zenodo.3541775
Zenodo 2020-04-24
2020 T. N. Palmer
The physics of numerical analysis: a climate modelling case study
published pages: 20190058, ISSN: 1364-503X, DOI: 10.1098/rsta.2019.0058
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 378/2166 2020-04-24
2019 M Kloewer
Sonums.jl
published pages: , ISSN: , DOI: 10.5281/zenodo.3531886
Zenodo 2020-04-24
2019 M Kloewer
LogFixPoint16s.jl
published pages: , ISSN: , DOI:
github 2020-04-24
2020 Leo Saffin, Sam Hatfield, Peter Düben, Tim Palmer
Reduced‐precision parametrization: lessons from an intermediate‐complexity atmospheric model
published pages: , ISSN: 0035-9009, DOI: 10.1002/qj.3754
Quarterly Journal of the Royal Meteorological Society 2020-04-24
2020 Sam Hatfield, Andrew McRae, Tim Palmer, Peter Düben
Single-Precision in the Tangent-Linear and Adjoint Models of Incremental 4D-Var
published pages: 1541-1552, ISSN: 0027-0644, DOI: 10.1175/mwr-d-19-0291.1
Monthly Weather Review 148/4 2020-04-24
2019 M Kloewer
Float8s.jl
published pages: , ISSN: , DOI:
Github 2020-04-24
2019 M Kloewer
StochasticRounding.jl
published pages: , ISSN: , DOI:
github 2020-04-24
2019 M Kloewer
Sherlogs.jl
published pages: , ISSN: , DOI: 10.5281/zenodo.3543604
Zonodo 2020-04-24

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