Download BEAT packages
Which package(s) do I need?
Depending on the tasks you want to perform you may need to download one or more of the packages that are listed below.
If you don't have access to a scientific analysis application such as IDL or MATLAB and want to perform operations on ingested data or if you want to make use of the specialised visualisation capabilities of VISAN, then you should download the VISAN package. This package includes both the CODA (BEAT-I) and BEAT-II functionality required to perform data ingestion from within VISAN. VISAN also includes a product browser that allows you to interactively inspect the contents of any product file that is supported by BEAT (including HDF, netCDF, and XML files). VISAN is available for Windows (XP and higher), Linux, and Mac OS X (10.6 and higher).
If you want to ingest atmospheric data from anything other than VISAN (IDL, MATLAB, Python, or your own C/Fortran programs), then you should download the BEAT package. The BEAT package contains both the CODA (BEAT-I) and BEAT-II interfaces.
If you plan on using the BEAT package in combination with IDL, then you might also want to download the BEAT Scientific Tutorial. This tutorial provides an introduction to the data access capabilities of BEAT by showing some real-life examples.
For performing your own MIPAS Level 2 processing, you can download GeoFit from the official GMTR/Geofit site at the University of Bologna. If you want to access the output from GeoFit using BEAT, you should also download and install the BEAT package and enable the
gmtr2beat conversion tool that comes with the GeoFit framework package.
If you are running Windows you can download a binary package for BEAT (in the form of a self-extracting executable). This package includes the C libraries (both for CODA and BEAT-II), the command line tools, the IDL interfaces for IDL 6.3 and higher, the MATLAB interfaces for MATLAB R2007b and higher, and the Python interfaces for Python 2.7.8 and Numpy 1.8.2 (you will need those exact versions for the Python interface).
For all other platforms you should download the source package for BEAT. The source package contains the sources of BEAT (for every BEAT module, including the C libraries, the interfaces to Fortran, IDL, MATLAB, and Python, and the command line tools), the documentation, and instructions for building BEAT.
|README||BEAT release notes|
|INSTALL||BEAT installation instructions|
|beat-6.9.0.tar.gz||3.2 MB||BEAT source package|
|beatsetup-win32-6.9.0.exe||16 MB||BEAT binary package (Windows 32-bit installer)|
|beatsetup-win64-6.9.0.exe||18 MB||BEAT binary package (Windows 64-bit installer)|
Previous release(s) of BEAT can be downloaded here.
WARNING: THIS IS AN OLD VERSION OF VISAN THAT STILL USES BEAT 6.8.0. A NEW VERSION OF VISAN WILL BE PROVIDED SOON.
To install VISAN, just download the binary package for your platform and follow the instructions from the INSTALL file. There are binary packages for Windows (2000/XP/Vista/7), Linux, and Mac OS X (10.5-10.8).
We also provide a source package of VISAN. You probably won't need this unless you are a developer and want to extend VISAN or port VISAN to a currently unsupported platform. The source package contains almost everything that is needed to build VISAN on Windows, Linux, or Mac OS X (i.e. it includes source packages for Python, VTK, wxWidgets, etc.).
|README||VISAN release notes|
|INSTALL||VISAN installation instructions (binary installation)|
|visan-glnx86-i386-3.10.0.tar.gz||70 MB||VISAN binary package (Linux 32-bit)|
|visan-glnx86-x86_64-3.10.0.tar.gz||71 MB||VISAN binary package (Linux 64-bit)|
|visansetup-win32-3.10.0.exe||36 MB||VISAN binary package (Windows 32-bit installer)|
|visansetup-win64-3.10.0.exe||40 MB||VISAN binary package (Windows 64-bit installer)|
|visan-macosx-ppc-3.10.0.dmg||60 MB||VISAN binary package (Mac OS X disk image for PowerPC)|
|visan-macosx-i386-3.10.0.dmg||61 MB||VISAN binary package (Mac OS X disk image for Intel)|
|visan-3.10.0.tar.gz||95 MB||VISAN source package (All platforms)|
(installation instructions are inside the package)
Previous release(s) of VISAN can be downloaded here.
BEAT Scientific Tutorial 2.3
This tutorial, created in co-operation with KNMI, provides an introduction to BEAT and its capabilities for use in atmospheric science. By using a number of real-life scientific case studies, the tutorial shows how one can use the BEAT tools to proceed from asking a scientifically interesting question to answering it. The tutorial consists of two VISAN examples and three IDL examples. The examples cover both BEAT interfaces (BEAT-I and BEAT-II), all ENVISAT atmospheric intruments, and both level-1, level-2, and level-3/4 data products. The tutorial can be run on Windows and Unix based platforms.
In order to run the tutorial you should already have IDL, VISAN, and BEAT (especially the IDL interfaces if you want to run the IDL examples) installed. The tutorial package contains the tutorial documentation, the IDL and VISAN tutorial files, and a set of required example data products.
|beat-tutorial-2.3.zip||75 MB||BEAT Scientific Tutorial|
GeoFit is the MIPAS Special Modes process developed by the University of Bologna, Italy. GeoFit can retrieve atmospheric constituents from a set of spectroscopic measurements coming from MIPAS Level 1b data.
GeoFit can be downloaded from the official GMTR/Geofit site at the University of Bologna.
Sample Product Files
Sample files for the ENVISAT atmospheric instruments can be found on the ENVISAT Sample Data Products page at ESA. For GOME a few sample products (level 1, level 2, and level 4) are provided below. GOME level 4 files can also be obtained from the ASCII Data archive in the Assimilated Ozone Fields section of the GOME Fast Delivery website.
|gomel1.zip||12.7 MB||GOME Level 1 sample file|
|gomel2.zip||576 KB||GOME Level 2 sample file|
|gomel4.zip||1.1 MB||GOME Level 4 sample files|
MSG/IUP Bremen reference spectra database
This file (52 MB unzipped) contains reference spectra courtesy of the Molecular Spectroscopy Group of the Institute for Environmental Physics of the University of Bremen. Please check the Spectral Databases documentation for more information.
|bremen_spectra_20070827.zip||25 MB||GOME and SCIAMACHY reference spectra database|