NHM–SMAP: spatially and temporally high-resolution nonhydrostatic atmospheric model coupled with detailed snow process model for Greenland Ice Sheet
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Published:2018-02-23
Issue:2
Volume:12
Page:635-655
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ISSN:1994-0424
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Container-title:The Cryosphere
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language:en
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Short-container-title:The Cryosphere
Author:
Niwano MasashiORCID, Aoki TeruoORCID, Hashimoto AkihiroORCID, Matoba SumitoORCID, Yamaguchi SatoruORCID, Tanikawa Tomonori, Fujita KojiORCID, Tsushima Akane, Iizuka Yoshinori, Shimada Rigen, Hori Masahiro
Abstract
Abstract. To improve surface mass balance (SMB) estimates for the Greenland Ice Sheet
(GrIS), we developed a 5 km resolution regional climate model combining the
Japan Meteorological Agency Non-Hydrostatic atmospheric Model and the Snow
Metamorphism and Albedo Process model (NHM–SMAP) with an output interval of
1 h, forced by the Japanese 55-year reanalysis (JRA-55). We used in situ data
to evaluate NHM–SMAP in the GrIS during the 2011–2014 mass balance years. We
investigated two options for the lower boundary conditions of the atmosphere:
an offline configuration using snow, firn, and ice albedo, surface
temperature data from JRA-55, and an online configuration using values
from SMAP. The online configuration improved model performance in simulating
2 m air temperature, suggesting that the surface analysis provided by JRA-55
is inadequate for the GrIS and that SMAP results can better simulate physical conditions
of snow/firn/ice. It also reproduced the measured features
of the GrIS climate, diurnal variations, and even a strong mesoscale wind
event. In particular, it successfully reproduced the temporal evolution of
the GrIS surface melt area extent as well as the record melt event around 12
July 2012, at which time the simulated melt area extent reached 92.4 %.
Sensitivity tests showed that the choice of calculation schemes for vertical
water movement in snow and firn has an effect as great as
200 Gt year−1 in the GrIS-wide accumulated SMB estimates; a scheme
based on the Richards equation provided the best performance.
Publisher
Copernicus GmbH
Subject
Earth-Surface Processes,Water Science and Technology
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