MONC - highly scalable cloud modelling on the latest supercomputers

Nicholas Brown

Abstract

The Met Office NERC Cloud model (MONC) is a community code that has been developed in collaboration with EPCC and the Met Office for the modelling of clouds and atmospheric flows at large scale. We routinely run MONC on 32,768 cores and the highly modular, pluggable architecture of this model supports great flexibility of use. Data analytics is critically important and, because of the very large raw data sizes, an in-situ approach has been adopted where the raw data is analysed as it is computed. This model also forms the basis of a public engagement activity which will be discussed.

Original language	English
Number of pages	18
Publication status	Published - Dec 2016
Event	Computing Insight UK 2016 - Manchester, United Kingdom Duration: 14 Dec 2016 → 15 Dec 2016

Conference

Conference	Computing Insight UK 2016
Abbreviated title	CIUK
Country/Territory	United Kingdom
Period	14/12/16 → 15/12/16

Access to Document

http://193.62.125.70/CIUK-2016/NickBrown.pdf

1 Finished

Development of a Met Office NERC cloud model (MONC)
Weiland, M. (Principal Investigator)
NERC
1/01/14 → 31/08/15
Project: Research

1 Software

Met Office NERC Cloud model (MONC)
Brown, N. & Weiland, M., 30 Apr 2018
Research output: Non-textual form › Software

Cite this

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M3 - Abstract

T2 - Computing Insight UK 2016

Y2 - 14 December 2016 through 15 December 2016

ER -

MONC - highly scalable cloud modelling on the latest supercomputers

Abstract

Conference

Access to Document

Fingerprint

Projects

Development of a Met Office NERC cloud model (MONC)

Research output

Met Office NERC Cloud model (MONC)

Cite this