Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/gmd-2017-314
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Model description paper
15 Feb 2018
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Model Development (GMD).
SMRT: An active / passive microwave radiative transfer model for snow with multiple microstructure and scattering formulations (v1.0)
Ghislain Picard1, Melody Sandells2, and Henning Löwe3 1UGA, CNRS, Institut des Géosciences de l’Environnement (IGE), UMR 5001, Grenoble, 38041, France
2CORES Science and Engineering Limited, Burnopfield, UK
3WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland
Abstract. The Snow Microwave Radiative Transfer (SMRT) thermal emission and backscatter model was developed to determine uncertainties in forward modeling through intercomparison of different model ingredients. The model differs from established models by the high degree of flexibility in switching between different electromagnetic theories, representations of snow microstructure, and other modules involved in various calculation steps. SMRT v1.0 includes the Dense Media Radiative Transfer theory (DMRT), the Improved Born Approximation (IBA) and independent Rayleigh scatterers to compute the intrinsic electromagnetic properties of a snow layer. In the case of IBA, five different formulations of the autocorrelation function to describe the snow microstructure characteristics are available, including the sticky hard sphere model, for which close equivalence between IBA and DMRT theories has been shown here. Validation is demonstrated against established theories and models. SMRT was used to identify that several former studies conducting simulations with in-situ measured snow properties are now comparable and moreover appear to be quantitatively nearly equivalent. This study also proves that a third parameter is needed in addition to density and specific surface area to characterize the microstructure. The paper provides a comprehensive description of the mathematical basis of SMRT and its numerical implementation in Python. Modularity supports model extensions foreseen in future versions comprising other media (e.g. sea-ice, frozen lakes), different scattering theories, rough surface models, or new microstructure models.
Citation: Picard, G., Sandells, M., and Löwe, H.: SMRT: An active / passive microwave radiative transfer model for snow with multiple microstructure and scattering formulations (v1.0), Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2017-314, in review, 2018.
Ghislain Picard et al.
Ghislain Picard et al.

Model code and software

SMRT v1.0 GMDD G. Picard, M. Sandells, and H. Loewe https://doi.org/10.5281/zenodo.1173104
Ghislain Picard et al.

Viewed

Total article views: 347 (including HTML, PDF, and XML)

HTML PDF XML Total BibTeX EndNote
259 72 16 347 9 17

Views and downloads (calculated since 15 Feb 2018)

Cumulative views and downloads (calculated since 15 Feb 2018)

Viewed (geographical distribution)

Total article views: 347 (including HTML, PDF, and XML)

Thereof 347 with geography defined and 0 with unknown origin.

Country # Views %
  • 1

Saved

Discussed

Latest update: 20 Apr 2018
Publications Copernicus
Download
Short summary
The Snow Microwave Radiative Transfer (SMRT) is a novel model developed to calculate how microwaves are scattered and emitted by snow. The model is built from separate, interconnecting modules to make it easy to compare different aspects of the theory. SMRT is the first model to allow a choice of how to represent the microstructure of the snow, which is extremely important, and has been used to unite multiple previous studies. This model will ultimately be used to observe snow from space.
The Snow Microwave Radiative Transfer (SMRT) is a novel model developed to calculate how...
Share