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| Titel |
Evaluating the Utah Energy Balance (UEB) snow model in the Noah land-surface model |
| VerfasserIn |
R. Sultana, K.-L. Hsu, J. Li, S. Sorooshian |
| 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 ; 18, no. 9 ; Nr. 18, no. 9 (2014-09-10), S.3553-3570 |
| Datensatznummer |
250120466
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| Publikation (Nr.) |
 copernicus.org/hess-18-3553-2014.pdf |
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| Zusammenfassung |
| Noah (version 2.7.1), the community land-surface model (LSM) of National
Centers for Environmental Predictions-National Center for Atmospheric
Research (NCEP-NCAR), which is widely used to describe the land-surface
processes either in stand-alone or in coupled land-atmospheric model
systems, is recognized to underestimate snow–water equivalent (SWE). Noah's
SWE bias can be attributed to its simple snow sub-model, which does not
effectively describe the physical processes during snow accumulation and
melt period. To improve SWE simulation in the Noah LSM, the Utah Energy
Balance (UEB) snow model is implemented in Noah to test alternate
snow surface temperature and snowmelt outflow schemes. Snow surface
temperature was estimated using the force-restore method and snowmelt event is
regulated by accounting for the internal energy of the snowpack. The
modified Noah's SWE simulations are compared with the SWE observed at
California's NRCS SNOTEL stations for 7 water years: 2002–2008, while
the model's snow surface temperature is verified with observed surface-temperature
data at an observation site in Utah. The experiments show that
modification in Noah's snow process substantially reduced SWE estimation
bias while keeping the simplicity of the Noah LSM. The results suggest that
the model did not benefit from the alternate temperature representation but
primary improvement can be attributed to the substituted snowmelt process. |
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