Abstract

Understanding the Earth's climate system and how it might be changing is a preeminent scientific challenge. Global climate models are used to simulate past, present, and future climates, and experiments are executed continuously on an array of distributed supercomputers. The resulting data archive, spread over several sites, currently contains upwards of 100 TB of simulation data and is growing rapidly. Looking toward mid-decade and beyond, we must anticipate and prepare for distributed climate research data holdings of many petabytes. The Earth System Grid (ESG) is a collaborative interdisciplinary project aimed at addressing the challenge of enabling management, discovery, access, and analysis of these critically important datasets in a distributed and heterogeneous computational environment. The problem is fundamentally a Grid problem. Building upon the Globus toolkit and a variety of other …

Metadata

publication

Proceedings of the IEEE 93 (3), 485-495, 2005

year

2005

publication date

2005/2/28

authors

David Bernholdt, Shishir Bharathi, David Brown, Kasidit Chanchio, Meili Chen, Ann Chervenak, Luca Cinquini, Bob Drach, Ian Foster, Peter Fox, Jose Garcia, Carl Kesselman, Rob Markel, Don Middleton, Veronika Nefedova, Line Pouchard, Arie Shoshani, Alex Sim, Gary Strand, Dean Williams

link

https://ieeexplore.ieee.org/abstract/document/1398005/

resource_link

https://arxiv.org/pdf/0712.2262

journal

Proceedings of the IEEE

volume

93

issue

3

pages

485-495

publisher

IEEE