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The earth system Grid : enabling access to multi-model climate simulation data.

Journal Article · · Bulletin of the American Meteorological Society
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  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  2. Argonne National Lab. (ANL), Argonne, IL (United States)
  3. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  4. Univ. of Southern California, Marina del Ray, CA (United States). Information Services Institute
  5. National Center for Atmospheric Research, Boulder, CO (United States)
  6. National Oceanic and Atmospheric Administration (NOAA), Seattle, WA (United States). PMEL
  7. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  8. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
+ Show Author Affiliations
Climate scientists face a wide variety of practical problems, but there is an overarching need to efficiently access and manipulate climate model data. Increasingly, for example, researchers must assemble and analyze large datasets that are archived in different formats on disparate platforms, and extract portions of datasets to compute statistical or diagnostic metrics 'in place'. The need for a common virtual environment in which to access both climate model datasets and analysis tools is therefore keenly felt. The software infrastructure to support such an environment must therefore not only provide ready access to climate data, but also must facilitate the use of visualization software, diagnostic algorithms, and related resources. To this end, the Earth System Grid Center for Enabling Technologies (ESG-CET) was established in 2006 by the Scientific Discovery through Advanced Computing (SciDAC)-2 program of the U.S. Department of Energy (DOE) through the Office of Advanced Scientific Computing Research (OASCR) and the Office Biological and Environmental Research (OBER) within the Office of Science (Fig. 1). ESG-CET is working to advance climate science by developing computational resources for accessing and managing model data that are physically located in distributed multiplatform archives.
Research Organization:
Argonne National Laboratory (ANL), Argonne, IL (United States)
Sponsoring Organization:
USDOE Office of Science (SC); DOC; NSF
DOE Contract Number:
AC02-06CH11357
OSTI ID:
963265
Report Number(s):
ANL/MCS/JA-60805
Journal Information:
Bulletin of the American Meteorological Society, Journal Name: Bulletin of the American Meteorological Society Journal Issue: 2 ; Feb. 2009 Vol. 90; ISSN 0003-0007; ISSN BAMIAT
Country of Publication:
United States
Language:
ENGLISH

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Related Subjects

54 ENVIRONMENTAL SCIENCES
ALGORITHMS
CLIMATE MODELS
CLIMATES
METRICS
SIMULATION