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| Titel |
Meso-scale modelling and radiative transfer simulations of a snowfall event over France at microwaves for passive and active modes and evaluation with satellite observations |
| VerfasserIn |
V. S. Galligani, C. Prigent, E. Defer, C. Jimenez, P. Eriksson, J.-P. Pinty, J.-P. Chaboureau |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1867-1381
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Measurement Techniques ; 8, no. 3 ; Nr. 8, no. 3 (2015-03-27), S.1605-1616 |
| Datensatznummer |
250116235
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| Publikation (Nr.) |
 copernicus.org/amt-8-1605-2015.pdf |
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| Zusammenfassung |
| Microwave passive and active radiative transfer simulations are performed
with the Atmospheric Radiative Transfer Simulator (ARTS) for a mid-latitude
snowfall event, using outputs from the Meso-NH mesoscale cloud model. The
results are compared to the corresponding microwave observations available
from MHS and CloudSat. The spatial structures of the simulated and observed
brightness temperatures show an overall agreement since the large-scale
dynamical structure of the cloud system is reasonably well captured by
Meso-NH. However, with the initial assumptions on the single-scattering
properties of snow, there is an obvious underestimation of the strong
scattering observed in regions with large frozen hydrometeor quantities. A
sensitivity analysis of both active and passive simulations to the
microphysical parametrizations is conducted. Simultaneous analysis of
passive and active calculations provides strong constraints on the
assumptions made to simulate the observations. Good agreements are obtained
with both MHS and CloudSat observations when the single-scattering properties
are calculated using the "soft sphere" parametrization from Liu (2004),
along with the Meso-NH outputs. This is an important step toward building a
robust data set of simulated measurements to train a statistically based
retrieval scheme. |
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