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Clear Climate Code reimplementation of GISTEMP
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CLEAR CLIMATE CODE GISTEMP README FOR RELEASE 0.4.1 Nick Barnes, Clear Climate Code $Date$ CONTENTS 1. Introduction 2. Dependencies 3. Installation 4. Input Data 5. Running 6. Results 7. Regression Testing A. References B. Document history C. Copyright and license 1. INTRODUCTION This is release 0.4.1 of the Clear Climate Code GISTEMP project (ccc-gistemp). Clear Climate Code have reimplemented GISTEMP (the GISS surface temperature analysis system), to make it clearer. Work continues towards making it more clear and more accessible. ccc-gistemp release 0.4.1 is a release of ccc-gistemp version 0.4. The purpose of version 0.4 is to increase clarity by: - removing rounding; - removing intermediate I/O; - gathering and documenting parameters in parameters.py; - general code clarification. Changes since earlier releases are described in more detail in release-notes.txt. URLs for further information: http://clearclimatecode.org/ Clear Climate Code website and blog. http://ccc-gistemp.googlecode.com/ ccc-gistemp code repository. 2. DEPENDENCIES The only dependency is Python 2.5 (or a more recent Python version). Python 2.4 was supported for previous releases but has now been dropped. The code should run on OS X, FreeBSD, Windows, and probably a variety of other Unix-like operating systems. A network connection is required to download the input files (which need only be done once), and to display an optional graph from the results. Python may already be installed on your machine (for example, it comes pre-installed on OS X), it may be possible to install it using your operating system's package manager; for Windows you can download an installer from http://www.python.org/download/ . We recommend you use a stable production release from the Python 2.x series (Python 3.x will not work). 3. INSTALLATION Unpack ccc-gistemp-0.4.1.tar.gz. 4. INPUT DATA ccc-gistemp-0.4.1 uses input data in the subdirectory input/. This input data includes large files of temperature records from GHCN, USHCN, and sea surface data, and small files of additional temperature records and station tables from GISS. ccc-gistemp-0.4.1 includes code (tool/preflight.py) to fetch this data from the originating organisations over the internet. It will not download a file if it is already present in the input/ directory, so if you wish to run ccc-gistemp with updated input data, you can delete the input/ directory before you start. 5. RUNNING To run ccc-gistemp: python tool/run.py That command runs steps 0 through 5. To run only a single step or a shorter sequence of steps, use the -s argument. For instance: python tool/run.py -s 3 # Runs just step 3 python tool/run.py -s 0-3,5 # Runs steps 0,1,2,3,5 (omitting 4) We use this directory structure: ccc-gistemp-x.x.x/code/ Source code for the GISTEMP algorithm only /config/ Configuration files /doc/ Internal developer documentation /input/ Input data files /log/ Log files /tool/ Tools - sources other than the GISTEMP algorithm /work/ Intermediate data files /result/ Final result files Running the code should write to the input/ directory when fetching input data, but subsequently only write to the work/ log/ and result/ directories. Before running tool/run.py, these directories can all be deleted (if you wish, for example, to have a clean run). 6. RESULTS After running run.py, the GISTEMP result files are all in the result/ directory. A simple graphical chart is made using the Google Chart API; this file: result/google-chart.url contains the URL of a chart showing the global annual mean surface temperature anomaly. If you have the results of two separate runs in two different directories, old-result/ and new-result/ , then an HTML report comparing the two can be generated with this command: python tool/compare_results.py --labela=old --labela=new old-result new-result This will produce a file called index.html in the current directory, including various statistical comparisons of the two result files. 7. REGRESSION TESTING To test ccc-gistemp against GISTEMP: python tool/regression.py This will fetch a tarball from http://ccc-gistemp.googlecode.com/files/ccc-gistemp-test-2009-12-28.tar.gz and uncompress it to a local directory ccc-gistemp-test-2009-12-28/. This contains input files and result data kindly provided to the ccc-gistemp project by Dr Reto Ruedy of NASA GISS, from an actual run of GISTEMP at GISS on 2009-12-28. Once the tarball is fetched and unpacked, the local ccc-gistemp code will be run on it and the results compared, generating a report in index.html. Note that there are indeed some changes between the results of the reference run and 0.4.1, mainly caused by a change to the GISTEMP algorithm, for rural/urban station distinction, made at GISS since the reference run. We have replicated that change in ccc-gistemp (see http://ccc-gistemp.googlecode.com/issues/detail?id=54). To test ccc-gistemp running the same algorithm as the reference GISTEMP run, edit code/parameters.py to set use_global_brightness = False before running tool/regression.py. A. REFERENCES None. B. DOCUMENT HISTORY Most recent changes first: 2010-03-11 DRJ Updated to prepare for 0.4.1. 2010-03-09 DRJ Updated to prepare for 0.4.0. 2010-01-26 NB Updated to prepare for 0.3.0. 2010-01-25 DRJ Removed PNG result. 2010-01-22 NB Updated to reflect some code moving to tool/. 2010-01-11 NB Updated to describe preflight better. 2010-01-06 DRJ Updated for our all-Python status. 2009-12-03 NB Updated for transfer to GoogleCode project. 2008-09-19 DRJ Added PNG result. 2008-09-13 NB Updated for CCC 0.1.0. 2008-09-12 NB Updated for CCC 0.0.3. 2008-09-12 NB Updated for CCC 0.0.2. 2008-09-11 NB Updated for CCC 0.0.1. 2008-09-08 NB Created. C. COPYRIGHT AND LICENSE This document is copyright (C) 2009, 2010 Ravenbrook Limited. All rights reserved. Redistribution and use of this document in any form, with or without modification, is permitted provided that redistributions of this document retain the above copyright notice, this condition and the following disclaimer. THIS DOCUMENT IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS AND CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS DOCUMENT, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. $URL$ $Rev$
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