Github: https://github.com/spectraphilic/reflexible
reflexible is a complete rewrite of the pflexible module that was orginally written to work with FLEXPART model output. The new design goals of reflexible will drive significant changes from the prior module but provide greater flexibility.
The reflexible module is being developed to provide an unified data analysis tool for working with geophysical model data. FLEXPART tools will be the initial target group, but other models (WRF, ENKI hydrologic model, etc.) are included in the development plans.
The main paradigm of development and the data model is to work on top of netcdf files. Specific 'Headers' will be created for relevant models. If the data is not natively in netcdf format from the model, it will be converted. The user will have the option to save this converted output for later use.
Initially we aim to provide:
a. an interface to read model output and provide general information about the simulation b. tools for simple access to the data c. simple visualization tools
Some routines were initially created to work with FLEXPART model ouput. FLEXPART is a Lagrangian particle dispersion model.
This software was written for the purposes of conducting research and displaying model results for publications. More information can be found on my homepage.
A maillist has been set up for users at sourceforge. Please direct inquiries via the reflexible_maillist
As for Issues, please use the tool at github.
Direct inquiries may be sent to::
John F Burkhart, University of Oslo
[john.burkhart](mailto://[email protected])
Clone the github repository into a folder in your PYTHONPATH::
$ git clone https://github.com/spectraphilic/reflexible.git
The documentation is hosted at readthedocs.
There are a few 'gotchas' when using the module. First, you will likely have to recompile (f2py) the FortFlex.f file and create a FortFlex.so module for whatever computer you're using. For this you need a Fortran compiler (gfortran) installed, so sometimes that can be an issue.
An alternative 'BinaryFile' class has been created so one can work with pure Python. Alone, it is significantly slower than the FortFlex module, however, if you use the dumpgrid module, significant speedups can be achieved. For this run::
$ python setup.py build_ext --inplace
This will compile the pflexcy.pyx file into a pflexcy.so module that can be imported and used by the pf.readgrid function. A series of tests are run to try and determine the best module to use -- somewhat transparently to the user. See the reflexible.readgridV8 function for more information.
Primary functionality comes from the readheaderV8 function and the readgridV8 function. I have created a "Header" class that can be used for some typical analysis. See the examples directory, and don't forget to read the source code and the getting started documentation.
reflexible comes with a suite of test units that you can run in a series of ways after you compiled the extensions and before you install it::
$ PYTHONPATH=. python -c "import reflexible; reflexible.test()"
or::
$ PYTHONPATH=. python reflexible/tests/all.py
or using the excellent py.test (recommended for developers)::
$ PYTHONPATH=. py.test
If all is working correctly, then you can install it (you might need to be superuser here)::
$ python setup.py install
And hopefully everything works!.
When you run into problems it is always nice that when you are filing
a ticket you would add the information about the versions you are
using. You can do that via the pf.print_versions(). Here it is an
output example::
$ python -c "import reflexible; reflexible.print_versions()" -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= reflexible version: 0.10.0 NumPy version: 1.9.0 Python version: 2.7.8 |Anaconda 2.1.0 (64-bit)| (default, Aug 21 2014, 18:22:21) [GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] Platform: linux2-x86_64 Byte-ordering: little -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=
The primary workflow and usefulness of reflexible comes from the read_header and read_grid routines, which are designed to help ultimately with plotting and data analysis of the FLEXPART output.
To get started, at least become familiar with:
- Header class
- read_header
- read_grid
- fill_backward
- plot_sensitivity
NOTE: the other plotting functions are mostly wrappers which ultimately make a call to plot_sensitivity.
About the mapping.py module, it is primarily designed as some convenience routines for working with basemap.
All these routines were written 'on the fly', without a design plan or test cases. Everything probably could use a rewrite!