Kspectrum
Kspectrum computes the synthetic absorption spectrum for a gas mixture in arbitrary thermodynamic conditions (pressure, temperature and molar composition) from public spectroscopic databases. The main and only purpose of the code is to produce high-resolution absorption spectra for a given set of thermodynamic conditions; in particular, Kspectrum will NOT perform the following tasks:
compute molecular absorption for any other source than allowed energetic transitions: even if some limited effort has been put into the representation of collision-induced absorption and continua, these sources of opacity will have to be computed separately for each application in a separate step.
perform radiative transfer computations: one of the main ideas behind Kspectrum is that the resulting absorption spectra can be used for a wide variety of applications, possibly in complex 3D scenes (as, for instance, in combustion engines). Dedicated tools will have to be used in order to solve radiative transfer; Kspectrum by itself will only be used to produce the input spectral data.
Absorption spectrum for terrestrial air, at ground level, for a Mid-Latitude Summer standard atmospheric profile. The absorption coefficient is also provided for each one of the three molecular species used in the gas mixture (logscale).
Spectroscopic databases
Kspectrum uses the HITRAN spectroscopic database in order to retrieve transition parameters (versions 2004, 2008 and 2012). Additionally, it can use the HITEMP-2010 and CDSD-4000 databases (respectively for water and carbon dioxide) at high-temperature levels. Further development would be required for additional databases (HITRAN-2016 ? GEISA ?).
Reference results
The main idea behind Kspectrum was initially to develop a code that would not need to use numerical simplifications such as a line profile truncation (assuming the distant line-wing profile is well known, which is obviously not the case). The resulting code was therefore capable of adding the contribution of every known transition at every wavenumber, in order to produce a value of the absorption coefficient with a known accuracy; also, a custom spectral discretisation algorithm was implemented in order to produce a non-uniform spectral grid according to a second accuracy criteria. Further versions quickly acquired the possibility to perform a line-wings truncation and use a specified constant spectral step, but the original algorithms that give the possibility to compute reference results (in the sense that a numerical accuracy is provided over resulting spectra) are still available.
Plot of the atmospheric cumulated optical depth as a function of wavenumber, for a clear-sky Mid-Latitude Summer standard terrestrial atmospheric profile. Two kspectrum results are provided: using a 25 inverse centimeters truncation of the line profile, and without any truncation. The same result (with a truncation) obtained from the 4A code is also presented.
Physical models
This code can take into account the Lorentz and the Voigt line profiles, as well as common sub-lorentzian corrective profiles. The isotopic composition can be specified, making this code suitable for non-terrestrial applications. The code was mainly thought for thermal infrared applications, but absorption spectra can be produced for any spectral range as long as transition parameters are available. As a general rule, Kspectrum was designed to remain as polyvalent as possible; one immediate disadvantage is that special sources of opacity, such as collision-induced absorption or continua, should be computed separately for any given application. Also, line-mixing processes have not yet been taken into consideration, and require further developments.
Some neat features
Every time-consuming step of the computation has been parallelised, even though the parallel architecture is far from optimal and should require a major revision: the computation time does not scale very well with the number of processes because of inter-processes communication, and also it was not thought for multi-node clusters. But at least Kspectrum will run faster on a reasonably good single node (approx. 20 cores).
Also, the code has been implemented with the obsessions of:
working with arbitrary large numbers of transitions. For instance, the CDSD-4000 database holds the parameters for more than 6 hundred millions of transitions for carbon dioxide; Kspectrum will, in time, eventually compute the contribution of every transition at every wavenumber of the spectrum.
being able to resume interrupted runs: whether your PC crashes or Kspectrum reaches the maximum computation time allowed by the cluster's queue, it will be possible to resume an interrupted computation instead of starting over from scratch: as in a video game, Kspectrum performs frequent backups of the current run.
Quickstart
Kspectrum 1.3:
Preqrequisites
All you need is a fortran compiler. We are using gfortran for development, but it should also work with other fortran compilers (ifort, pgfortran, etc.). You should export the name of your fortran compiler into the F77 environment variable; for instance, using the bash interpreter:
export F77=gfortran
Then you can try to compile Kspectrum: go to the main Kspectrum
directory, then use the make all command to compile.
The most common sources of failure can be fixed by editing the
"Makefile" file in order to check compilation options (and more
specifically options related to the target architecture and
optimisations).
Whenever you modify a source file, you can re-compile using the make all command.
But in the case you have to modify an include file, you will have to
erase all existing object files first using the make clean command,
before recompiling from scratch using the make all command again.
Installation
You will have to download both the .tgz file and the installation
script, and place both files in the same directory.
Then run the installation script.
This will uncompress the archive, compile and run a small program that
will generate an example composition file (for Venus' atmosphere).
The installation script will also try to link Line-by-Line spectroscopic
databases to your new installation of Kspectrum, but will most probably
fail if you are not a frequent Kspectrum user, and you will have to read
the documentation in order to link LBL databases yourself (and probably
download then first if you have not already done so).
Please contact us if you want a specific
setup script for your machine so that the linking step is performed when
you download the next version.
Copyright notice
Copyright © 2014-2018 |Méso|Star>
(contact@meso-star.com)
Copyright © 2008-2014 Centre National de la Recherche Scientifique (CNRS)
Copyright © 2008-2014 Fondation Sciences et Technologies pour l'Aéronotique et l'Espace
Copyright © 2008-2014 Institut Mines-Télécom Albi-Carmaux
Copyright © 2008-2014 Université Bordeaux 1
Copyright © 2008-2014 Université Paul Sabatier
License
Kspectrum is free software released under the CeCILL v2.1 license. You are welcome to redistribute it under certain conditions; refer to the license for details.
