Published October 18, 2017
| Version v1
Software
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The Polar (v2.0) and Extrapolar (v1.0) SWIFT model: Fast stratospheric ozone chemistry for global climate models
- 1. Alfred-Wegener-Institute Helmholtz-Centre for Polar and Marine Research
Description
SWIFT is a numerically efficient stratospheric ozone chemistry scheme intended for the use in coupled general circulation models (AOGCMs). In our approach we approximate the numerical output of a full stratospheric chemistry model with orthogonal polynomial functions of higher degree. This approach is also referred to as repro-modelling and has been successfully applied to chemical models in previous studies.
Due to the differences in polar and extrapolar stratospheric ozone chemistry the SWIFT model is split into two modules:
- The Polar SWIFT Model https://www.geosci-model-dev.net/10/2671/2017/
- The Extrapolar SWIFT Model https://www.geosci-model-dev-discuss.net/gmd-2017-134/#discussion
This repository contains the version 2.0 of the Polar SWIFT model and the version 1.0 of the Extrapolar SWIFT model:
- The MATLAB code for the SWIFT integration into the Chemistry and Transport Model (CTM) ATLAS. [swift_MATLAB.tar.gz]
- The Fortran code for the SWIFT integration into a General Circulation Model (GCM), e.g. ECHAM 6. [swift_fortran.tar.gz]
- (only Extrapolar SWIFT) The Polynomial functions stored as NetCDF-files [swift_extrapolar_polynomials_v1.0.tar.gz].
- (only Extrapolar SWIFT) The data processing and fitting routines to determine the polynomial functions. Please refer to the included HTML documentation (./doc/index.html). [swift_extrapolar_source_v1.0.tar.gz].
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Additional details
References
- Kreyling, D., Wohltmann, I., Lehmann, R., and Rex, M.: The Extrapolar SWIFT model (version 1.0): Fast stratospheric ozone chemistry for global climate models, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2017-134, in review, 2017.
- Wohltmann, I., Lehmann, R., and Rex, M.: Update of the Polar SWIFT model for polar stratospheric ozone loss (Polar SWIFT version 2), Geosci. Model Dev., 10, 2671-2689, https://doi.org/10.5194/gmd-10-2671-2017, 2017.