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| Titel |
Simulation of the microwave emission of multi-layered snowpacks using the Dense Media Radiative transfer theory: the DMRT-ML model |
| VerfasserIn |
G. Picard, L. Brucker, A. Roy, F. Dupont, M. Fily, A. Royer, C. Harlow |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 6, no. 4 ; Nr. 6, no. 4 (2013-07-26), S.1061-1078 |
| Datensatznummer |
250017862
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| Publikation (Nr.) |
 copernicus.org/gmd-6-1061-2013.pdf |
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| Zusammenfassung |
| DMRT-ML is a physically based numerical model designed to compute the
thermal microwave emission of a given snowpack. Its main application is the
simulation of brightness temperatures at frequencies in the range 1–200 GHz
similar to those acquired routinely by space-based microwave radiometers.
The model is based on the Dense Media Radiative Transfer (DMRT) theory for
the computation of the snow scattering and extinction coefficients and on
the Discrete Ordinate Method (DISORT) to numerically solve the radiative
transfer equation. The snowpack is modeled as a stack of multiple horizontal snow layers
and an optional underlying interface representing the soil or the bottom ice. The model
handles both dry and wet snow conditions. Such a general design allows the model to
account for a wide range of snow conditions. Hitherto, the model has been used to
simulate the thermal emission of the deep firn on ice sheets, shallow snowpacks
overlying soil in Arctic and Alpine regions, and overlying ice on the large ice-sheet
margins and glaciers. DMRT-ML has thus been validated in three very different conditions:
Antarctica, Barnes Ice Cap (Canada) and Canadian tundra. It has been recently used
in conjunction with inverse methods to retrieve snow grain size from remote sensing
data. The model is written in Fortran90 and available to the snow remote sensing
community as an open-source software. A convenient user interface is provided in Python. |
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