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| Titel |
CREST-Snow Field Experiment: analysis of snowpack properties using multi-frequency microwave remote sensing data |
| VerfasserIn |
T. Y. Lakhankar, J. Munoz, P. Romanov, A. M. Powell, N. Y. Krakauer, W. B. Rossow, R. M. Khanbilvardi |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 17, no. 2 ; Nr. 17, no. 2 (2013-02-22), S.783-793 |
| Datensatznummer |
250018802
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| Publikation (Nr.) |
 copernicus.org/hess-17-783-2013.pdf |
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| Zusammenfassung |
| The CREST-Snow Analysis and Field Experiment (CREST-SAFE) was carried out
during January–March 2011 at the research site of the National Weather
Service office, Caribou, ME, USA. In this experiment dual-polarized
microwave (37 and 89 GHz) observations were accompanied by detailed
synchronous observations of meteorology and snowpack physical properties.
The objective of this long-term field experiment was to improve
understanding of the effect of changing snow characteristics (grain size,
density, temperature) under various meteorological conditions on the
microwave emission of snow and hence to improve retrievals of snow cover
properties from satellite observations. In this paper we present an
overview of the field experiment and comparative preliminary analysis of the
continuous microwave and snowpack observations and simulations. The
observations revealed a large difference between the brightness temperature
of fresh and aged snowpack even when the snow depth was the same. This is
indicative of a substantial impact of evolution of snowpack properties such
as snow grain size, density and wetness on microwave observations. In the
early spring we frequently observed a large diurnal variation in the 37 and
89 GHz brightness temperature with small depolarization corresponding to
daytime snowmelt and nighttime refreeze events. SNTHERM (SNow THERmal
Model) and the HUT (Helsinki University of Technology) snow emission model
were used to simulate snowpack properties and microwave brightness
temperatures, respectively. Simulated snow depth and snowpack temperature using SNTHERM
were compared to in situ observations. Similarly, simulated microwave
brightness temperatures using the HUT model were compared with the observed
brightness temperatures under different snow conditions to identify
different states of the snowpack that developed during the winter season. |
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