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[[ Juropa | CLaMS on JUROPA ]] |
The Chemical Lagrangian Model of the Stratosphere (CLaMS)
CLaMS (Chemical Lagrangian Model of the Stratosphere) is a modular chemistry transport model (CTM) system developed at Research Centre Jülich, Germany. CLaMS was first described by McKenna et al (2000a,b) and was expanded into three dimensions by Konopka et al (2004). CLaMS has been employed in recent European field campaigns THESEO, EUPLEX, TROCCINOX and SCOUT-O3 with a focus on simulating ozone depletion and water vapour transport.
Major strengths of CLaMS in comparison to other CTMs are
- its applicability for reverse domain filling studies
- its anisotropic mixing scheme
- its integrability with arbitrary observational data
- its comprehensive chemistry scheme
CLaMS Documentation
The details of the model CLaMS are well documented and published in the scientific literature.
Formulation of advection and mixing by McKenna et al, 2002a
Formulation of chemistry-scheme and initialisation by McKenna et al, 2002b
Comparison of the chemistry module with other stratospheric models by Krämer et al, 2003
Calculation of photolysis rates by Becker et al, 2000
Extension to 3-dimension model version by Konopka et al, 2004
Lagrangian sedimentation by Grooß et al, 2005
The Main CLaMS Modules
More CLaMS Modules
Used Libraries
CLaMS data sets
A chemical transport model does not simulate the dynamics of the atmosphere. For CLaMS, the following meteorological data sets have been used
European Centre for Medium-Range Weather Forecasts (ECMWF), Predictions, Analyses, ERA-15, ERA40
United Kingdom Meteorological Office (UKMO)
- European Centre Hamburg Atmospheric Model (ECHAM4), in the DLR version
To initialize the chemical fields in CLaMS, a large variety of instruments have provided data
on satellite (CRISTA, MIPAS, MLS, HALOE, ILAS, MOPITT, ...),
- on aircraft and balloons (HALOX, FISH, Mark IV, BONBON, ...)
emission inventories (RETRO, EDGAR, GFED, ICE, ...)
If no observations are present, the chemical fields can be initialised from two-dimensional chemical models, chemistry-climate models, climatologies, or from correlations between chemical species or chemical species and dynamical variables.
Example animations
Example animations from a CLaMS simulation of the 2004/05 winter are shown on the page ExampleAnimations.
Additional Tools
Flightplanner
Based on former work concerning a tool to be used for the planning of flights during field campaigns, a new Java-based tool was developed by MarkusEffer.