We are busy
working on a new CDAT release version CDAT-v5.0. This
big release will bring several new exciting features to the CDAT
community. We expect to have the 'Beta'
version ready for release in October 2007. We
will be releasing CDAT
v4.3 in August with a small subset of features listed
below.
The new features include:
- LAS CDAT
interface to IPCC data
- New VCDAT
- Light version
-New point and click edit capabilities in a revamped VCS
canvas with GUI
- TrueType
fonts
- Direct
PostScript output
- NetCDF 4.0
(data compression)
- VisTrails
- New numPy
will replace pyFor
- Google
Earth with CDAT
- iCDAT- Adobe
Flash web application
- Trac
source repository, check it
up!
Live Access
Server (LAS)is a software that provides
visualization and subsetting of multi-dimensional scientific data for
Web users, enabling visualization, subsetting, and reformatting.
On-the-fly visualization makes it possible to explore the dataset
entirely within a Web browser environment. Should further analysis at
the desktop be desirable subsetting allows the scientist to download
small units of data that move efficiently on the Internet. Reformatting
makes it simple to ingest the data into the scientist’s
choice of desktop environments.
NewLAS
CDATwebinterface
enables browsing and downloading of theIPCCESG
climate model simulations data holdings through the GUI web
application.
VisTrails,
while originally (and solely) developed by researchers at the
University of Utah that provides support for data exploration and
visualization, is being applied to climate data analysis and
visualization as part of the SciDAC2 Visualization and Analytics Center
for Enabling Technology (VACET).
Basic reading a variable from one file
and saving it to another NetCDF file, also concatenating
files.
This
tip provides information on the basic writing data to a NetCDF file
techniques. You can learn
all about reading a variable from one file, operating on it and writing
to another file, or reading the same variable from severeal consecutive
files, concatenating the data and writing to a new NetCDF file.
Reading
ASCII data, creating axes and saving all to a NetCDF file.
A lot of data exist in an ASCII
format, hence it is important to know how to read this data and save it
to
a proper NetCDF file. We will learn how to read some standard ASCII
data
formats, create time and other axis and save all to a NetCDF file.