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Full Record Details
Persistent URL
http://purl.org/net/epubs/work/12153180
Record Status
Checked
Record Id
12153180
Title
Weather prediction and climate modeling at Exascale: introducing the Gung Ho project
Contributors
CM Maynard (Met. Office)
,
MJ Glover (Met. Office)
,
N Wood (Met. Office)
,
R Ford (STFC Daresbury Lab.)
,
SM Pickles (STFC Daresbury Lab.)
,
D Ham (Met. Office)
,
E Mueller (Met. Office)
,
G Riley (Manchester Univ.)
Abstract
The Met Office's numerical weather prediction and climate model code, the Unified Model (UM) is almost 25 years old. It is a unified model in the sense that the same model is used to predict both short term weather and longer term climate change. More accurate and timely predictions of extreme weather events and better understanding of the consequences of climate change require bigger computers. Some of the underlying assumptions in the UM will inhibit scaling to the number of processor cores likely to be deployed at Exascale. In particular, the longitude-latitude discretisation presently used in the UM would result in 12m grid resolution at the poles for a 10km resolution at mid-latitudes. The Gung-Ho project is a research collaboration between the Met Office, NERC funded researchers and STFC Daresbury to design a new dynamical core that will exhibit very large data parallelism. The accompanying software design and development project to implement this new core and enable it to be coupled to physics parameterisation, ocean models etc is presented and some of the computational science issues discussed.
Organisation
STFC
,
HC
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Language
English (EN)
Type
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Presentation
Presented at Exascale Applications and Software Conference (EASC2013), Edinburgh, Scotland, 9-11 Apr 2011.
2013
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