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Volume 9, issue 3 | Copyright
The Cryosphere, 9, 971-988, 2015
https://doi.org/10.5194/tc-9-971-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 11 May 2015

Research article | 11 May 2015

Numerical simulation of extreme snowmelt observed at the SIGMA-A site, northwest Greenland, during summer 2012

M. Niwano et al.
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Cited articles
Anderson, E. A.: A point energy and mass balance model of a snow cover, NOAA Tech. Rep. NWS19, Office of Hydrology, National Weather Service, Silver Spring, Maryland, USA, 1976.
Anderson, P. S.: A method for rescaling humidity sensors at temperatures well below freezing, J. Atmos. Ocean. Tech., 11, 1388–1391, https://doi.org/10.1175/1520-0426(1994)011<1388:AMFRHS>2.0.CO;2, 1994.
Andreas, E. L.: A theory for the scalar roughness and the scalar transfer coefficients over snow and ice, Bound.-Lay. Meteorol., 38, 159–184, https://doi.org/10.1007/BF00121562, 1987.
Aoki, T. and Yamanouchi, T.: Cloud radiative forcing around Asuka Station, Antarctica, Proc. NIPR Symp. Polar Meteorol. Glaciol., 12–13 July 1990, Tokyo, 76–89, 1992.
Aoki, T., Aoki, T., Fukabori, M., and Uchiyama, A.: Numerical simulation of the atmospheric effects on snow albedo with multiple scattering radiative transfer model for the atmosphere-snow system, J. Meteorol. Soc. Jpn., 77, 595–614, 1999.
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Short summary
A physical snowpack model SMAP and in situ meteorological and snow data obtained at site SIGMA-A on the northwest Greenland ice sheet are used to assess surface energy balance during the extreme near-surface snowmelt event around 12 July 2012. We determined that the main factor for the melt event observed at the SIGMA-A site was low-level clouds accompanied by a significant temperature increase, which induced surface heating via cloud radiative forcing in the polar region.
A physical snowpack model SMAP and in situ meteorological and snow data obtained at site SIGMA-A...
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