UV-CDAT / News: Recent posts

CDAT 4.1 is now available.

CDAT (Climate Data Analysis Tools) is an open-source, Python-based environment for scientific calculations and graphics with focus on the needs of climate modelers. This release includes Full Mac OS-X support, thermodynamic diagrams contrib package, and averager/time tools bug fixes (bounds related issues).

Final Version of CDAT 3.3 is here.

The final developpment (beta) release of CDAT 3.3 is available at http://cdat.sf.net
Also the documentation has been updated. CDAT 3.3 should be out really soon. Please help us track down the last glitches by testing 3.3bfinal !
Thanks.

In order to reduce the size of the files to be downloaded,
and to minimize required rebuilding with new minor releases,
we have separated the distribution into 3 parts:

The "pysrc" part is Python / Tcl / Tk.
The "exsrc" part is Netcdf / Pyfort / Pmw / xgks fonts
The "cdat" part is the cdat packages.

All three parts can be unpacked in the same directory. Build instructions are in the cdat part in README.txt. Remove any
former cdat distributions from the directory before unpacking.

cdat-3.2b7 is now available. It now works on IRIX 6.5 and AIX.

A beta release of CDAT-3.2 is now available.
********************* Release 3.2 (planned 2/?/2002) ************************
1. Revised build system allows for installation into an existing Python.
Please see README.txt to learn the new installation system.
(Paul Dubois)
2. In genutil.statistics, the linearegression now can return std error
and probabilities for regression constant (in addition of the regression co
ef).
Power users that used this capability should be aware that the syntax sligh
tly
changed, see the doc string. (Charles Doutriaux)
3. Contributed package shgrid added (Clyde Dease)
After installation, go to contrib/shgrid/Test and run python shgridtest.py;
a documentation file shgridmodule.doc will be produced as a byproduct.... read more

CDAT (Climate Data Analysis Tools) is an open-source, Python-based environment for scientific calculations and graphics with focus on the needs of climate modelers. It is coordinated by the Program for Climate Model Diagnosis and Intercomparison (PCMDI), Lawrence Livermore National Laboratory.

PCMDI is happy to announce release 3.1 of Climate Data Analysis Tools, with a much improved browser, data selection facilities, and diagnostics. The project web site is:... read more

CDAT (Climate Data Analysis Tools) is an open-source, Python-based environment for scientific calculations and graphics with focus on the needs of climate modelers. It is coordinated by the Program for Climate Model Diagnosis and Intercomparison.

The final cdat-3.1 release candiate, 3.1c3, has been posted to Source Forge. The 3.1 release is scheduled for Jan. 9.

cdat-3.1c.tar.gz is available for download. After a short period of final bug hunting, we will release the final version soon. Users are urged to try building this release.

CDAT (Climate Data Analysis Tools) is an open-source, Python-based environment for scientific calculations and graphics with focus on the needs of climate modelers.

A new beta release of cdat-3.1 is now available. Please follow the build instructions in
the top-level README to install it.

This beta fixes a number of bugs and further improves the installation system.

In developing 3.1 we had accidentally broken support for 8-bit color displays.

It is fixed now.

A source-only beta release of cdat-3.1 is available.

There are significant improvements throughout the
system. The vcdat browser has many new capabilities.

The build process has been revamped to increase the likelyhood of successful
user builds from source. The build no longer requires Motif.

We have successfully built cdat-3.1b1 on Sun-Solaris, several flavors of Linux, and a Dec under OSF1. There is one spot in the build remaining, in package vcs, where the
system must be known; we hope to have this removed by the time of 3.1's final release.... read more

The Getting Started with CDAT manual has a new chapter, Chapter 5, that explains some of the relationships between Numeric arrays, masked arrays, file variables, and transient variables. It is available at the CDAT web site, cdat.sf.net.

The file cdat-3.0.1-addendum.tgz describes the steps to enable Lightweight Directory Access Protocol (LDAP) access in CDAT 3.0 and build a CDMS metadata catalog.

Enabling access to LDAP (Lightweight Directory
Access Protocol) is a prerequisite for implementing metadata catalogs in CDMS. Obtain the file CDAT-3.0.0-addendum.tgz and read ldap.html for details.

It took me two tries but cdat-3.0.0-bSolaris5.6.tar.Z is on SourceForge and finally has the right length. For some reason we lost a few hundred bytes the first two times.

The Solairis file in release 3.0.0 appears to be corrupted. Service to SourceForge downloads is poor today and we have not been able to replace it yet.

When we do the filename will start with an extra "a" to indicate the revised file.

Climate Data Analysis Tools (CDAT) announces version 3.0.0. CDAT is an open-source suite of Python modules for manipulation and plotting of scientific data.

Climate Data Analysis Tools (CDAT) announces version 3.0.0. CDAT is an open-source suite of Python modules for manipulation and plotting of scientific data.

Beta testers should report bugs using the SourceForge bug tracking system. Use the category "Robustness issues" for bad input producing abnormal terminations, strange error messages, etc; use "Normal bug" for good input producing bad results. Use the requests category for things you wish were handled.