PyClimate 1.1. Analysis of atmospheric and oceanic data
Announce: PyClimate 1.1, 13 June 2001 We present version 1.1 of our package PyClimate: http://www.pyclimate.org It is dedicated to the analysis of atmospheric and oceanic data sets using Python. It makes heavy use of NumPy and some of our own C extensions to speed up the code. It is distributed according to the GNU General Public License Version 2 (it is free). The updates from version 1.0 to 1.1 comprise: a) Some minor bugs corrected. b) Addition of functions and classes to perform Canonical Correlation Analysis (CCA) in the EOF space. c) Additional functions and scaling conventions for EOFs. The interface for EOFs and SVD is much easier than previous version. The routines accept arbitrarily shaped fields for input and reshape accordingly their outputs. d) Updated algorithms (much faster) for the random selection of subsamples in Monte Carlo tests on eigenvectors. e) New algorithms for differential operators on the sphere. Current version handles periodic boundary conditions in longitude and arbitrarily shaped scalar or vector fields organized according to COARDS Conventions. Current version handles fields arranged as (T,Z,lat,lon). f) Exception strings have been converted to classes. g) The reference file has grown a lot. It is not currently distributed with the package, but can still be accessed from the WEB server. We have made our best to make all those changes backwards compatible. In some cases (exception strings -> classes), they may break some code, but we are enforced to make those changes due to Python's new designs. We would appreciate feedback by users. Enjoy ;-) Jon Saenz, jsaenz@wm.lc.ehu.es Jesus Fernandez, chus@wm.lc.ehu.es Juan Zubillaga, juan@zubi.net <P><A HREF="http://www.pyclimate.org">PyClimate 1.1</A> - Analysis of Atmospheric and Oceanic Data Sets using Python. (13-Jun-01)</P>
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Jon Saenz