]> 2012-05-27T23:52:17-04:00 The earth system grid: supporting the next generation of climate modeling research 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 technologies, ESG is developing an environment that addresses authentication, authorization for data access, large-scale data transport and management, services and abstractions for high-performance remote data access, mechanisms for scalable data replication, cataloging with rich semantic and syntactic information, data discovery, distributed monitoring, and Web-based portals for using the system. article 42314329 3 485-495 The Earth System Grid: Supporting the Next Generation of Climate Modeling Research 2005 Year 93 Volume Title Computer science Tag Paper url Pages Number Key Proceedings of the IEEE Journal Bibtype Dean Williams Gary Strand Alex Sim Arie Shoshani Line Pouchard Veronika Nefedova Don Middleton Rob S. Markel Carl Kesselman Jose M. Garcia Peter Fox Ian T. Foster Bob Drach Luca Cinquini Ann L. Chervenak Meili Chen Kasidit Chanchio David Brown Shishir Bharathi David E. Bernholdt Author Abstract Publication Journal Paper