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| * its low diffusive Lagrangian transport scheme with the ability to reproduce small-scale structures and gradients of trace species | |
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| === CLaMS Documentation === | == CLaMS Documentation == |
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| * Climatological run and simplified chemistry by [[http://www.geosci-model-dev.net/7/2895/2014/gmd-7-2895-2014.html|Pommrich et al. (2014)]]. | * Climatological simulation and simplified chemistry by [[http://www.geosci-model-dev.net/7/2895/2014/gmd-7-2895-2014.html|Pommrich et al. (2014)]]. |
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| * Tropospheric mixing and parametrization of unresolved convective updrafts by [[https://www.geosci-model-dev.net/12/2441/2019|Konopka et al. (2019)]]. | |
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| * [[GitLabUpdateClams| Update local CLaMS repository ]] * [[GitLabCommitChanges | Commit changes to central CLaMS repository ]] * [[ Jureca | CLaMS on JURECA/JUWELS ]] * [[ ParallelHowTo ]] |
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| * [[dynmod]] | |
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| * [[conv2ncdf]] | |
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| == Using MPI == | |
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| [[ ParallelHowTo ]] == CLaMS on Supercomputers == [[ Jureca | CLaMS on JURECA ]] |
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| Development: https://bitbucket.org/wxmetvis/mss | Development: https://github.com/Open-MSS/MSS |
Contents
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 various European aircraft field campaigns including THESEO, EUPLEX, TROCCINOX, SCOUT-O3, RECONCILE and STRATOCLIM with a focus on simulating ozone depletion and water vapour transport.
Major strengths of CLaMS in comparison to other CTMs are
- its low diffusive Lagrangian transport scheme with the ability to reproduce small-scale structures and gradients of trace species
- 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).
Improved sedimentation of NAT by Grooß et al. (2014) and of ice by Tritscher et al. (2019).
Extension to the (upper) troposphere using hybrid vertical coordinate zeta by Konopka et al. (2007).
Incorporation of the concept of air mass origin tracers by Günther et al. (2008).
Climatological simulation and simplified chemistry by Pommrich et al. (2014).
Integration of Lagrangian transport into the climate model EMAC by Hoppe et al. (2014).
Tropospheric mixing and parametrization of unresolved convective updrafts by Konopka et al. (2019).
CLaMS Installation
The Main CLaMS Modules
(Installing instructions below using CVS are out-dated, please install the CLaMS modules from the GitLab server instead)
More CLaMS Modules
The CLaMS ksh runscript
Used Libraries
MESSy/CLaMS
CLaMS-ice
CLaMS-ice is a combination of CLaMS trajectories with the double moment bulk microphysics scheme cirrus_bulk for calculating cirrus formation.
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, ERA-Interim
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, AIRS, ...),
- 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
Flight planning tool MSS
Documentation: http://mss.readthedocs.io
Development: https://github.com/Open-MSS/MSS (for bug reports and feature requests, please create an issue under the menu point "issues")
Licenses
Link to the CLaMS-Groups ECHAM5-Licenses