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Climate Data Analysis Tools (CDAT)
Entry ID: LLNL_PCMDI_CDAT
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Summary
Abstract: More Information: http://www-pcmdi.llnl.gov/software-portal/cdat

Climate Data Analysis Tools (CDAT) is a software infrastructure that uses an
object-oriented scripting language to link together separate software
subsystems and packages thus forming an integrated environment for solving
model diagnosis problems. The power of the system comes from Python and its
ability to seamlessly interconnect software. Python provides a general purpose
and full-featured scripting language with a variety of user interfaces
including command-line interaction, stand-alone scripts (applications) and
graphical user interfaces (GUI). The CDAT subsystems, implemented as modules,
provide access to and management of gridded data (Climate Data Management
System or CDMS); large-array numerical operations (Numerical Python); and
visualization (Visualization and Control System or VCS).

One of the most difficult challenges facing climate researchers today is the
cataloging and analysis of massive amounts of multi-dimensional global
atmospheric and oceanic model data. To reduce the labor intensive and
time-consuming process of data management, retrieval, and analysis, PCMDI and
other DOE sites have come together to develop intelligent filing system and
data management software for the linking of storage devices located throughout
the United States and the international climate research community. This
effort, headed by PCMDI, NCAR, and ANL will allow users anywhere to remotely
access this distributed multi-petabyte archive and perform analysis. PCMDI's
CDAT is an innovative system that supports exploration and visualization of
climate scientific data sets. As an "open system", the software sub-systems
(i.e., modules) are independent and freely available to the global climate
community. CDAT is easily extended to include new modules and as a result of
its flexibility, PCMDI has integrated other popular software components, such
as: the popular Live Access Server (LAS) and the Distributed Oceanographic Data
System (DODS). Together with ANL's Globus middleware software, CDAT's focus is
to allow climate researchers the ability to access and analyze
multi-dimensional distributed climate data sets.

[Summary Extracted from the CDAT Home Page]

Related URL
Link: VIEW PROJECT HOME PAGE
Description: Program for Climate Model Diagnosis and Intercomparison

Link: VIEW PROJECT HOME PAGE
Description: Python.org Home Page

Link: GET SERVICE > GET SOFTWARE PACKAGE
Description: Python tools for climate variability analysis from the
Department of Applied Physics II, Faculty of Sciences,
University of the Basque Country.

Link: VIEW RELATED INFORMATION
Description: CDAT Documentation.
Service Citation
Originators: Program for Climate Model Diagnosis and Intercomparison (PCMDI)
Title: Climate Data Analysis Tools (CDAT)
Release_Date: 2004-03-17
Provider: Program for Climate Model Diagnosis and Intercomparison (PCMDI)
Edition: Version 4.0 Beta 2
URL: http://www-pcmdi.llnl.gov/software-portal/cdat
ISO Topic Category
CLIMATOLOGY/METEOROLOGY/ATMOSPHERE
Keywords
Python
Service Provider
Program for Climate Model Diagnosis and Intercomparison, Lawrence Livermore National Laboratory, U. S. Department of Energy

Service Provider Personnel
Name: CDAT SUPPORT
Phone: (925) 422-7626
Fax: (925) 422-7675
Email: cdat-discussion at list.sf.net
Contact Address:
PCMDI
P.O. Box 808, L-103
City: Livermore
Province or State: CA
Postal Code: 94551-0808
Country: USA
Distribution Media
Distribution_Media: Online (HTTP)
Fees: No Fee
Personnel
SCOTT A. RITZ
Role: SERF AUTHOR
Phone: 301-614-5126
Fax: 301-614-5268
Email: Scott.A.Ritz at nasa.gov
Contact Address:
NASA Goddard Space Flight Center
Global Change Master Directory
City: Greenbelt
Province or State: Maryland
Postal Code: 20771
Country: USA
Creation and Review Dates
SERF Creation Date: 2005-08-15
SERF Last Revision Date: 2005-12-16
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