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Climate Data Analysis Tools Facilitate Scientific Investigations

Journal Article · · EOS, Transactions, American Geophysical Union
DOI:https://doi.org/10.1029/2009EO350002· OSTI ID:1600879
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  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
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Insightful analysis of geophysical phenomena often depends on the choice of software tools to access, manipulate, and visualize data sets of interest. Our data exploration tasks can be efficiently executed in a single computational environment by the freely distributed Climate Data Analysis Tools (CDAT; http://www-pcmdi.llnl.gov/software-portal/). Although CDAT has been designed primarily for climate science applications, its capabilities are increasingly being enhanced to address the data needs of other geophysical sciences. The CDAT software is based on the object-oriented Python computer language, but the software extends existing constructs to achieve capabilities that are relevant to any gridded geophysical data. Depending on the users preference, CDAT can be fully deployed by either a script or graphical user interface.

Research Organization:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
AC52-07NA27344
OSTI ID:
1600879
Report Number(s):
LLNL-JRNL--411149; 370854
Journal Information:
EOS, Transactions, American Geophysical Union, Journal Name: EOS, Transactions, American Geophysical Union Journal Issue: 35 Vol. 90; ISSN 0096-3941
Publisher:
American Geophysical Union (AGU)Copyright Statement
Country of Publication:
United States
Language:
English

References (4)

Summarizing multiple aspects of model performance in a single diagram journal April 2001
Performance metrics for climate models journal January 2008
VisTrails: visualization meets data management conference January 2006
Convectively Coupled Equatorial Waves: Analysis of Clouds and Temperature in the Wavenumber–Frequency Domain journal February 1999

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Related Subjects

54 ENVIRONMENTAL SCIENCES
CDAT
Climate Data Analysis