-
Notifications
You must be signed in to change notification settings - Fork 0
rameezu/DART
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
# DART software - Copyright UCAR. This open source software is provided # by UCAR, "as is", without charge, subject to all terms of use at # http://www.image.ucar.edu/DAReS/DART/DART_download # # DART $Id$ Welcome to DART, the Data Assimilation Research Testbed. See the bottom of this file for quick-start instructions. Extensive on-line documentation is on the project web pages: http://www.image.ucar.edu/DAReS/DART Extensive local documentation is included in the DART subversion checkout. Open 'documentation/index.html' in your browser to begin. A Matlab/PDF introduction is in the documentation/DART_LAB directory. There are a set of PDF presentations along with hands-on Matlab exercises. This starts with a very basic introduction to data assimilation and covers several fundamental algorithms in the system. A slightly more advanced tutorial in PDF format is in the documentationb/tutorial subdirectory. Start with the index file which explains what each subsection covers. The DART Manhattan release documentation is on the web: http://www.image.ucar.edu/DAReS/DART/Manhattan/documentation/html/Manhattan_release.html and also in the subversion tree here at: documentation/html/Manhattan_release.html General documentation in HTML format is in the documentation/html directory. In addition, all parts of the DART system include HTML files in the respective model and source directories. There is an 'index.html' file in the top level documentation directory which references all the other doc files. There is a mailing list where we summarize updates to the DART repository and notify users about recent bug fixes. It is not generally used for discussion so it's a low-traffic list. To add yourself go here and click on 'Dart-users', and if you use WRF see 'wrfdart-users' also: http://mailman.ucar.edu/mailman/listinfo/ The Manhattan release is new and currently supports only a subset of the models. We will port over any requested model so contact us if yours is not on the list. In the meantime, we suggest you check out our 'classic' release of DART which is the Lanai release plus additional development features. All new development will be based on the Manhattan release but the 'classic' release will remain for those models which already have the necessary features. Existing users will see that we have rearranged our directory tree. We hope this helps you find the various pieces that come with the DART distribution. Contact us for more help or for more information on other models already using DART or for how to add your model or observation types. Thank you - The DART Development Team. dart at ucar.edu Quick-start for the impatient: Go into the 'build_templates' directory and copy over the closest mkmf.template.compiler.system file into 'mkmf.template'. Edit it to set the NETCDF directory location if not in /usr/local or comment it out and set $NETCDF in your environment. *This NetCDF library must have been compiled with the same compiler that you use to compile DART and must include the F90 interfaces.* Go into 'models/lorenz_63/work' and run './quickbuild.csh'. If it compiles, hooray. Run this series of commands to do a very basic test: ncgen -o perfect_input.nc perfect_input.cdl ./perfect_model_obs ncgen -o filter_input.nc filter_input.cdl ./filter If that runs, hooray again. Finally, if you have Matlab installed on your system add '$DART/diagnostics/matlab' to your matlab search path and run the 'plot_total_err' diagnostic script while in the 'models/lorenz_63/work' directory. If the output plots and looks reasonable (error level stays around 2 and doesn't grow unbounded) you're great! Congrats. If you are planning to run one of the larger models and want to use the Lorenz 63 model as a test, run './quickbuild.csh -mpi'. It will build filter and any other MPI-capable executables with MPI. *The 'mpif90' command you use must have been built with the same version of the compiler as you are using.* If any of these steps fail or you don't know how to do them, go to the DART project web page listed above for very detailed instructions that should get you over any bumps in the process. # <next few lines under version control, do not edit> # $URL$ # $Revision$ # $Date$
About
Data Assimilation Research Testbed
Resources
Stars
Watchers
Forks
Packages 0
No packages published
Languages
- Fortran 63.0%
- HTML 16.5%
- Shell 9.0%
- MATLAB 7.6%
- Roff 0.9%
- Python 0.7%
- Other 2.3%