GENIE: Grid enabled integrated earth system model
GENIE: Grid enabled integrated earth system model
An understanding of the astonishing and, as yet, unexplained natural variability of past climate is an essential pre-requisite to increase confidence in predictions of long-term future climate change. GENIE is a new Grid-enabled modelling framework that can compose an extensive range of Earth System Models (ESMs) for simulation over multi-millennial timescales, to study ice age cycles and long-term human induced global change. Grid technology is a key enabler for the flexible coupling of constituent models, subsequent execution of the resulting ESMs and the management of the data that they generate.
15-16
Price, Andrew
f4db9dfc-23b6-4c11-8da6-bbf0ee35d6d5
Lenton, Tim
2e73ba9a-99c0-43be-bda3-1e769206d72d
Cox, Simon
4fe1de98-4843-4d45-9143-3369b6b9a241
Valdes, Paul
1d96598c-56b8-4582-bc4a-e5618309641b
Shepherd, John
f38de3ac-eb3b-403f-8767-c76be68d8bf2
2005
Price, Andrew
f4db9dfc-23b6-4c11-8da6-bbf0ee35d6d5
Lenton, Tim
2e73ba9a-99c0-43be-bda3-1e769206d72d
Cox, Simon
4fe1de98-4843-4d45-9143-3369b6b9a241
Valdes, Paul
1d96598c-56b8-4582-bc4a-e5618309641b
Shepherd, John
f38de3ac-eb3b-403f-8767-c76be68d8bf2
Price, Andrew, Lenton, Tim, Cox, Simon, Valdes, Paul and Shepherd, John
,
The GENIE Team
(2005)
GENIE: Grid enabled integrated earth system model.
ERCIM News, 61, .
Abstract
An understanding of the astonishing and, as yet, unexplained natural variability of past climate is an essential pre-requisite to increase confidence in predictions of long-term future climate change. GENIE is a new Grid-enabled modelling framework that can compose an extensive range of Earth System Models (ESMs) for simulation over multi-millennial timescales, to study ice age cycles and long-term human induced global change. Grid technology is a key enabler for the flexible coupling of constituent models, subsequent execution of the resulting ESMs and the management of the data that they generate.
This record has no associated files available for download.
More information
Published date: 2005
Identifiers
Local EPrints ID: 23521
URI: http://eprints.soton.ac.uk/id/eprint/23521
PURE UUID: 5c3db9eb-d0a8-4d9a-931e-9d42073fdac1
Catalogue record
Date deposited: 20 Mar 2006
Last modified: 23 Jul 2022 01:38
Export record
Contributors
Author:
Andrew Price
Author:
Tim Lenton
Author:
Simon Cox
Author:
Paul Valdes
Corporate Author: The GENIE Team
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics