Articles | Volume 12, issue 2
https://doi.org/10.5194/tc-12-635-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/tc-12-635-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
NHM–SMAP: spatially and temporally high-resolution nonhydrostatic atmospheric model coupled with detailed snow process model for Greenland Ice Sheet
Meteorological Research Institute, Japan Meteorological Agency,
Tsukuba, 305-0052 Japan
Teruo Aoki
Graduate School of Natural Science and Technology, Okayama University,
Okayama, 700-8530 Japan
Meteorological Research Institute, Japan Meteorological Agency,
Tsukuba, 305-0052 Japan
Akihiro Hashimoto
Meteorological Research Institute, Japan Meteorological Agency,
Tsukuba, 305-0052 Japan
Sumito Matoba
Institute of Low Temperature Science, Hokkaido University, Sapporo,
060-0819 Japan
Satoru Yamaguchi
Snow and Ice Research Center, National Research Institute for Earth
Science and Disaster Resilience, Nagaoka, 940-0821 Japan
Tomonori Tanikawa
Meteorological Research Institute, Japan Meteorological Agency,
Tsukuba, 305-0052 Japan
Koji Fujita
Graduate School of Environmental Studies, Nagoya University, Nagoya,
464-8601 Japan
Akane Tsushima
Research Institute for Humanity and Nature, Kyoto, 603-8047 Japan
Yoshinori Iizuka
Institute of Low Temperature Science, Hokkaido University, Sapporo,
060-0819 Japan
Rigen Shimada
Earth Observation Research Center, Japan Aerospace Exploration Agency,
Tsukuba, 305-8505 Japan
Masahiro Hori
Earth Observation Research Center, Japan Aerospace Exploration Agency,
Tsukuba, 305-8505 Japan
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Motoshi Nishimura, Teruo Aoki, Masashi Niwano, Sumito Matoba, Tomonori Tanikawa, Tetsuhide Yamasaki, Satoru Yamaguchi, and Koji Fujita
Earth Syst. Sci. Data, 15, 5207–5226, https://doi.org/10.5194/essd-15-5207-2023, https://doi.org/10.5194/essd-15-5207-2023, 2023
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We presented the method of data quality checks and the dataset for two ground weather observations in northwest Greenland. We found that the warm and clear weather conditions in the 2015, 2019, and 2020 summers caused the snowmelt and the decline in surface reflectance of solar radiation at a low-elevated site (SIGMA-B; 944 m), but those were not seen at the high-elevated site (SIGMA-A; 1490 m). We hope that our data management method and findings will help climate scientists.
Yukihiko Onuma, Koji Fujita, Nozomu Takeuchi, Masashi Niwano, and Teruo Aoki
The Cryosphere, 17, 3309–3328, https://doi.org/10.5194/tc-17-3309-2023, https://doi.org/10.5194/tc-17-3309-2023, 2023
Short summary
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We established a novel model that simulates the temporal changes in cryoconite hole (CH) depth using heat budgets calculated independently at the ice surface and CH bottom based on hole shape geometry. The simulations suggest that CH depth is governed by the balance between the intensity of the diffuse component of downward shortwave radiation and the wind speed. The meteorological conditions may be important factors contributing to the recent ice surface darkening via the redistribution of CHs.
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Preprint archived
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We present a new high-temporal-resolution record of mineral composition in a northeastern Greenland ice-core (EGRIP) over the past 100 years. The ice core dust composition and its variation differed significantly from a northwestern Greenland ice core, which is likely due to differences in the geological sources of the dust. Our results suggest that the EGRIP ice core dust was constantly supplied from Northern Eurasia, North America, and Asia with minor contribution from Greenland coast.
Ikumi Oyabu, Kenji Kawamura, Shuji Fujita, Ryo Inoue, Hideaki Motoyama, Kotaro Fukui, Motohiro Hirabayashi, Yu Hoshina, Naoyuki Kurita, Fumio Nakazawa, Hiroshi Ohno, Konosuke Sugiura, Toshitaka Suzuki, Shun Tsutaki, Ayako Abe-Ouchi, Masashi Niwano, Frédéric Parrenin, Fuyuki Saito, and Masakazu Yoshimori
Clim. Past, 19, 293–321, https://doi.org/10.5194/cp-19-293-2023, https://doi.org/10.5194/cp-19-293-2023, 2023
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We reconstructed accumulation rate around Dome Fuji, Antarctica, over the last 5000 years from 15 shallow ice cores and seven snow pits. We found a long-term decreasing trend in the preindustrial period, which may be associated with secular surface cooling and sea ice expansion. Centennial-scale variations were also found, which may partly be related to combinations of volcanic, solar and greenhouse gas forcings. The most rapid and intense increases of accumulation rate occurred since 1850 CE.
Tomotaka Saruya, Shuji Fujita, Yoshinori Iizuka, Atsushi Miyamoto, Hiroshi Ohno, Akira Hori, Wataru Shigeyama, Motohiro Hirabayashi, and Kumiko Goto-Azuma
The Cryosphere, 16, 2985–3003, https://doi.org/10.5194/tc-16-2985-2022, https://doi.org/10.5194/tc-16-2985-2022, 2022
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Crystal orientation fabrics (COF) of the Dome Fuji ice core were investigated with an innovative method with unprecedentedly high statistical significance and dense depth coverage. The COF profile and its fluctuation were found to be highly dependent on concentrations of chloride ion and dust. The data suggest deformation of ice at the deepest zone is highly influenced by COF fluctuations that progressively develop from the near-surface firn toward the deepest zone within ice sheets.
Yota Sato, Koji Fujita, Hiroshi Inoue, Akiko Sakai, and Karma
The Cryosphere, 16, 2643–2654, https://doi.org/10.5194/tc-16-2643-2022, https://doi.org/10.5194/tc-16-2643-2022, 2022
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We investigate fluctuations in Bhutanese lake-terminating glaciers focusing on the dynamics change before and after proglacial lake formation at Thorthormi Glacier (TG) based on photogrammetry, satellite, and GPS surveys. The thinning rate of TG became double compared to before proglacial lake formation, and the flow velocity has also sped up considerably. Those changes would be due to the reduction in longitudinal ice compression by the detachment of the glacier terminus from the end moraine.
Giovanni Baccolo, Barbara Delmonte, Elena Di Stefano, Giannantonio Cibin, Ilaria Crotti, Massimo Frezzotti, Dariush Hampai, Yoshinori Iizuka, Augusto Marcelli, and Valter Maggi
The Cryosphere, 15, 4807–4822, https://doi.org/10.5194/tc-15-4807-2021, https://doi.org/10.5194/tc-15-4807-2021, 2021
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As scientists are pushing efforts to recover deep ice cores to extend paleoclimatic reconstructions, it is now essential to explore deep ice. The latter was considered a relatively stable environment, but this view is changing. This study shows that the conditions of deep ice promote the interaction between soluble and insoluble impurities, favoring complex geochemical reactions that lead to the englacial dissolution and precipitation of specific minerals present in atmospheric mineral dust.
Naoko Nagatsuka, Kumiko Goto-Azuma, Akane Tsushima, Koji Fujita, Sumito Matoba, Yukihiko Onuma, Remi Dallmayr, Moe Kadota, Motohiro Hirabayashi, Jun Ogata, Yoshimi Ogawa-Tsukagawa, Kyotaro Kitamura, Masahiro Minowa, Yuki Komuro, Hideaki Motoyama, and Teruo Aoki
Clim. Past, 17, 1341–1362, https://doi.org/10.5194/cp-17-1341-2021, https://doi.org/10.5194/cp-17-1341-2021, 2021
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Here we present a first high-temporal-resolution record of mineral composition in a Greenland ice core (SIGMA-D) over the past 100 years using SEM–EDS analysis. Our results show that the ice core dust composition varied on multi-decadal scales, which was likely affected by local temperature changes. We suggest that the ice core dust was constantly supplied from distant sources (mainly northern Canada) as well as local ice-free areas in warm periods (1915 to 1949 and 2005 to 2013).
Mizuo Kajino, Makoto Deushi, Tsuyoshi Thomas Sekiyama, Naga Oshima, Keiya Yumimoto, Taichu Yasumichi Tanaka, Joseph Ching, Akihiro Hashimoto, Tetsuya Yamamoto, Masaaki Ikegami, Akane Kamada, Makoto Miyashita, Yayoi Inomata, Shin-ichiro Shima, Pradeep Khatri, Atsushi Shimizu, Hitoshi Irie, Kouji Adachi, Yuji Zaizen, Yasuhito Igarashi, Hiromasa Ueda, Takashi Maki, and Masao Mikami
Geosci. Model Dev., 14, 2235–2264, https://doi.org/10.5194/gmd-14-2235-2021, https://doi.org/10.5194/gmd-14-2235-2021, 2021
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This study compares performance of aerosol representation methods of the Japan Meteorological Agency's regional-scale nonhydrostatic meteorology–chemistry model (NHM-Chem). It indicates separate treatment of sea salt and dust in coarse mode and that of light-absorptive and non-absorptive particles in fine mode could provide accurate assessments on aerosol feedback processes.
Cited articles
Ahlstrøm, A. P., Gravesen, P., Andersen, S. B., van As, D., Citterio, M.,
Fausto, R. S., Nielsen, S., Jepsen, H. F., Kristensen, S. S., Christensen, E.
L., Stenseng, L., Forsberg, R., Hanson, S., and Petersen, D.: A new programme
for monitoring the mass loss of the Greenland ice sheet, Geol. Surv. Den.
Green. Bull., 15, 61–64, 2008.
Alexander, P. M., Tedesco, M., Fettweis, X., van de Wal, R. S. W., Smeets, C.
J. P. P., and van den Broeke, M. R.: Assessing spatio-temporal variability
and trends in modelled and measured Greenland Ice Sheet albedo (2000–2013),
The Cryosphere, 8, 2293–2312, https://doi.org/10.5194/tc-8-2293-2014, 2014.
Amory, C., Trouvilliez, A., Gallée, H., Favier, V., Naaim-Bouvet, F.,
Genthon, C., Agosta, C., Piard, L., and Bellot, H.: Comparison between
observed and simulated aeolian snow mass fluxes in Adélie Land, East
Antarctica, The Cryosphere, 9, 1373–1383,
https://doi.org/10.5194/tc-9-1373-2015, 2015.
Andersen, M. L., Stenseng, L., Skourup, H., Colgan, W., Khan, S. A.,
Kristensen, S. S., Andersen, S. B., Box, J. E., Ahlstrøm, A. P., Fettweis,
X., and Forsberg, R.: Basin-scale partitioning of Greenland ice sheet mass
balance components (2007–2011), Earth Planet. Sci. Lett., 409, 89–95,
https://doi.org/10.1016/j.epsl.2014.10.015, 2015.
Aoki, T., Kuchiki, K., Niwano, M., Kodama, Y., Hosaka, M., and Tanaka, T.:
Physically based snow albedo model for calculating broadband albedos and the
solar heating profile in snowpack for general circulation models, J. Geophys.
Res., 116, D11114, https://doi.org/10.1029/2010JD015507, 2011.
Aoki, T., Matoba, S., Uetake, J., Takeuchi, N., and Motoyama, H.: Field
activities of the “Snow Impurity and Glacial Microbe effects on abrupt
warming in the Arctic” (SIGMA) Project in Greenland in 2011–2013, Bull.
Glaciol. Res., 32, 3–20, https://doi.org/10.5331/bgr.32.3, 2014a.
Aoki, T., Matoba, S., Yamaguchi, S., Tanikawa, T., Niwano, M., Kuchiki, K.,
Adachi, K., Uetake, J., Motoyama, H., and Hori, M.: Light-absorbing snow
impurity concentrations measured on Northwest Greenland ice sheet in 2011 and
2012, Bull. Glaciol. Res., 32, 21–31, https://doi.org/10.5331/bgr.32.21, 2014b.
Bamber, J. L., Ekholm, S., and Krabill, W. B.: A new, high-resolution digital
elevation model of Greenland fully validated with airborne laser altimeter
data, J. Geophys. Res., 106, 6733–6745, https://doi.org/10.1029/2000JB900365, 2001.
Bellaire, S., Proksch, M., Schneebeli, M., Niwano, M., and Steffen, K.:
Measured and Modeled Snow Cover Properties across the Greenland Ice Sheet,
The Cryosphere Discuss., https://doi.org/10.5194/tc-2017-55, 2017.
Bennartz, R., Shupe, M. D., Turner, D. D., Walden, V. P., Steffen, K., Cox,
C. J., Kulie, M. S., Miller, N. B., and Pettersen, C.: July 2012 Greenland
melt extent enhanced by low-level liquid clouds, Nature, 496, 83–86,
https://doi.org/10.1038/nature12002, 2013.
Box, J. E.: Greenland Ice Sheet Mass Balance Reconstruction, Part II: Surface
Mass Balance (1840–2010), J. Climate, 26, 6974–6989,
https://doi.org/10.1175/JCLI-D-12-00518.1, 2013.
Box, J. E. and Rinke, A.: Evaluation of Greenland ice sheet surface climate
in the HIRHAM regional climate model using automatic weather station data, J.
Climate, 16, 1302–1319, https://doi.org/10.1175/1520-0442-16.9.1302, 2003.
Briegleb, B. P.: Delta-Eddington approximation for Solar Radiation in the
NCAR Community Climate Model, J. Geophys. Res., 97, 7603–7612,
https://doi.org/10.1029/92JD00291, 1992.
Brun, E., David, P., Sudul, M., and Brunot, G.: A numerical model to simulate
snow-cover stratigraphy for operational avalanche forecasting, J. Glaciol.,
38, 13–22, 1992.
Brun, E., Six, D., Picard, G., Vionnet, V., Arnaud, L., Bazile, E., Boone,
A., Bouchard, A., Genthon, C., Guidard, V., Moigne, P. L., Rabier, F., and
Seity, Y.: Snow/atmosphere coupled simulation at Dome C, Antarctica, J.
Glaciol., 52, 721–736, 2011.
Cox, C. J., Walden, V. P., Compo, G. P., Rowe, P. M., Shupe, M. D., and
Steffen, K.: Downwelling longwave flux over Summit, Greenland, 2010–2012:
Analysis of surface-based observations and evaluation of ERA-Interim using
wavelets, J. Geophys. Res.-Atmos., 119, 12317–12337,
https://doi.org/10.1002/2014JD021975, 2014.
Cuffey, K. and Paterson, W. S. B.: The Physics of Glaciers, Elsevier,
Butterworth-Heineman, Burlington, MA, USA, 2010.
Cullather, R.I., Nowicki, S. M. J., Zhao, B., and Koenig, L. S.: A
characterization of Greenland ice sheet surface melt and runoff in
contemporary reanalyses and a regional climate model, Front. Earth Sci., 4,
1–20, https://doi.org/10.3389/feart.2016.00010, 2016.
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P.,
Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P.,
Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N.,
Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S.
B., Hersbach, H., Hólm, E. V., Isaksen, L., Kållberg, P., Köhler,
M., Matricardi, M., McNally, A. P., Monge-Sanz, B. M., Morcrette, J.-J.,
Park, B.-K., Peubey, C., de Rosnay, P., Tavolato, C., Thépaut, J.-N., and
Vitart, F.: The ERA-Interim reanalysis: configuration and performance of the
data assimilation system, Q. J. Roy. Meteorol. Soc., 137, 553–597,
https://doi.org/10.1002/qj.828, 2011.
Enderlin, E. M., Howat, I. M., Jeong, S., Noh, M.-J., van Angelen, J. H., and
van den Broeke, M. R.: An improved mass budget for the Greenland ice sheet,
Geophys. Res. Lett., 41, 866–872, https://doi.org/10.1002/2013GL059010, 2014.
Fausto, R. S., van As, D., Box, J. E., Colgan, W., Langen, P. L., and
Mottram, R. H.: The implication of nonradiative energy fluxes dominating
Greenland ice sheet exceptional ablation area surface melt in 2012, Geophys.
Res. Lett., 43, 2649–2658, 2016.
Fettweis, X.: Reconstruction of the 1979–2006 Greenland ice sheet surface
mass balance using the regional climate model MAR, The Cryosphere, 1, 21–40,
https://doi.org/10.5194/tc-1-21-2007, 2007.
Fettweis, X., Tedesco, M., van den Broeke, M., and Ettema, J.: Melting trends
over the Greenland ice sheet (1958–2009) from spaceborne microwave data and
regional climate models, The Cryosphere, 5, 359–375,
https://doi.org/10.5194/tc-5-359-2011, 2011.
Fettweis, X., Box, J. E., Agosta, C., Amory, C., Kittel, C., Lang, C., van
As, D., Machguth, H., and Gallée, H.: Reconstructions of the 1900–2015
Greenland ice sheet surface mass balance using the regional climate MAR
model, The Cryosphere, 11, 1015–1033,
https://doi.org/10.5194/tc-11-1015-2017, 2017.
Franco, B., Fettweis, X., and Erpicum, M.: Future projections of the
Greenland ice sheet energy balance driving the surface melt, The Cryosphere,
7, 1–18, https://doi.org/10.5194/tc-7-1-2013, 2013.
Goody, R. M.: A statistical model for water vapour absorption, Q. J. Roy.
Meteor. Soc., 78, 165–169, https://doi.org/10.1002/qj.49707833604, 1952.
Gordon, M., Simon, K., and Taylor, P. A.: On snow depth predictions with the
Canadian land surface scheme including a parametrization of blowing snow
sublimation, Atmos. Ocean, 44, 239–255, https://doi.org/10.3137/ao.440303, 2006.
Greuell, W. and Konzelmann, T.: Numerical modelling of the energy balance and
the englacial temperature of the Greenland Ice Sheet. Calculations for the
ETH-Camp location (West Greenland, 1155 m a.s.l.), Global Planet. Change,
9, 91–114, https://doi.org/10.1016/0921-8181(94)90010-8, 1994.
Guyomarc'h, G. and Merindol, L.: Validation of an application for forecasting
blowing snow, Ann. Glaciol., 26, 138–143, 1998.
Hall, D. K., Comiso, J. C., DiGirolamo, N. E., Shuman, C. A., Box, J. E., and
Koenig, L. S.: Variability in the surface temperature and melt extent of the
Greenland ice sheet from MODIS, Geophys. Res. Lett., 40, 2114–2120, 2013.
Hanna, E., Huybrechts, P., Janssens, I., Cappelen, J., Steffen, K., and
Stephens, A.: Runoff and mass balance of the Greenland ice sheet: 1958–2003,
J. Geophys. Res., 110, D13108, https://doi.org/10.1029/2004JD005641, 2005.
Hanna, E., McConnell, J., Das, S., Cappelen, J., and Stephens, A.: Observed
and modeled Greenland ice sheet snow accumulation, 1958–2003, and links with
regional climate forcing, J. Climate, 19, 344–358, 2006.
Hanna, E., Huybrechts, P., Cappelen, J., Steffen, K., Bales, R. C., Burgess,
E., McConnell, J. R., Steffensen, J. P., Van den Broeke, M., Wake, L., Bigg,
G., Griffiths, M., and Savas, D.: Greenland Ice Sheet surface mass balance
1870 to 2010 based on Twentieth Century Reanalysis, and links with global
climate forcing, J. Geophys. Res., 116, D24121, https://doi.org/10.1029/2011JD016387,
2011.
Hanna, E., Navarro, F. J., Pattyn, F., Domingues, C. M., Fettweis, X., Ivins,
E. R., Nicholls, R. J., Ritz, C., Smith, B., Tulaczyk, S., Whitehouse, P. L.,
and Zwally, H. J.: Ice-sheet mass balance and climate change, Nature, 498,
51–59, https://doi.org/10.1038/nature12238, 2013.
Hanna, E., Fettweis, X., Mernild, S. H., Cappelen, J., Ribergaard, M. H.,
Shuman, C. A., Steffen, K., Wood, L., and Mote, T. L.: Atmospheric and
oceanic climate forcing of the exceptional Greenland ice sheet surface melt
in summer 2012, Int. J. Climatol., 34, 1022–1037, https://doi.org/10.1002/joc.3743,
2014.
Hashimoto, A., Murakami, M., Kato, T., and Nakamura, M.: Evaluation of the
influence of saturation adjustment with respect to ice on meso-scale model
simulations for the case of 22 June, 2002, SOLA, 3, 85–88,
https://doi.org/10.2151/sola.2007-022, 2007.
Hashimoto, A., Niwano, M., Aoki, T., Tsutaki, S., Sugiyama, S., Yamasaki, T.,
Iizuka, Y., and Matoba, S.: Numerical weather prediction system based on
JMA-NHM for field observation campaigns on the Greenland ice sheet, Low
Temperature Science, 75, 91–104, https://doi.org/10.14943/lowtemsci.75.91, 2017.
Howat, I. M., Negrete, A., and Smith, B. E.: The Greenland Ice Mapping
Project (GIMP) land classification and surface elevation data sets, The
Cryosphere, 8, 1509–1518, https://doi.org/10.5194/tc-8-1509-2014, 2014.
Iizuka, Y., Matoba, S., Yamasaki, T., Oyabu, I., Kadota, M., and Aoki, T.:
Glaciological and meteorological observations at the SE-Dome site,
southeastern Greenland Ice Sheet, B. Glaciol. Res., 34, 1–10,
https://doi.org/10.5331/bgr.15R03, 2015.
Inoue, J., Liu, J., Pinto, J. O., and Curry, J. A.: Intercomparison of Arctic
regional climate models: Modeling clouds and radiation for SHEBA in May 1998,
J. Climate, 19, 4167–4178, https://doi.org/10.1175/JCLI3854.1, 2006.
Kargel, J. S., Ahlstrøm, A. P., Alley, R. B., Bamber, J. L., Benham, T.
J., Box, J. E., Chen, C., Christoffersen, P., Citterio, M., Cogley, J. G.,
Jiskoot, H., Leonard, G. J., Morin, P., Scambos, T., Sheldon, T., and Willis,
I.: Brief communication Greenland's shrinking ice cover: “fast times” but
not that fast, The Cryosphere, 6, 533-537,
https://doi.org/10.5194/tc-6-533-2012, 2012.
Kobayashi, S., Ota, Y., Harada, Y., Ebita, A., Moriya, M., Onoda, H., Onogi,
K., Kamahori, H., Kobayashi, C., Endo, H., Miyaoka, K., and Takahashi, K.:
The JRA-55 reanalysis: General specifications and basic characteristics, J.
Meteorol. Soc. Jpn., 93, 5–48, https://doi.org/10.2151/jmsj.2015-001, 2015.
Kuipers Munneke, P., Ligtenberg, S. R. M., Noël, B. P. Y., Howat, I. M.,
Box, J. E., Mosley-Thompson, E., McConnell, J. R., Steffen, K., Harper, J.
T., Das, S. B., and van den Broeke, M. R.: Elevation change of the Greenland
Ice Sheet due to surface mass balance and firn processes, 1960–2014, The
Cryosphere, 9, 2009–2025, https://doi.org/10.5194/tc-9-2009-2015, 2015.
Langen, P. L., Mottram, R. H., Christensen, J. H., Boberg, F., Rodehacke, C.
B., Stendel, M., van As, D., Ahlstrøm, A. P., Mortensen, J., Rysgaard, S.,
Petersen, D., Svendsen, K. H., Aðalgeirsdóttir, G., and Cappelen, J.:
Quantifying energy and mass fluxes controlling Godthåbsfjord freshwater
input in a 5 km simulation (1991–2012), J. Climate, 28, 3694–3713,
https://doi.org/10.1175/jcli-d-14-00271.1, 2015.
Lehning, M., Bartelt, P., Brown, B., Fierz, C., and Satyawali, P.: A physical
SNOWPACK model for the Swiss avalanche warning, Part II: Snow microstructure,
Cold Reg. Sci. Technol., 35, 147–167, https://doi.org/10.1016/S0165-232X(02)00073-3,
2002.
Lefebre, F., Fettweis, X., Gallée, H., Van Ypersele, J.-P., Marbaix, P.,
Greuell, W., and Calanca, P.: Evaluation of a high-resolution regional
climate simulation over Greenland, Clim. Dynam., 25, 99–116,
https://doi.org/10.1007/s00382-005-0005-8, 2005.
Lenaerts, J. T. M., van den Broeke, M. R., Déry, S. J., van Meijgaard,
E., van de Berg, W. J., Palm, S. P., and Sanz Rodrigo, J.: Regional climate
modeling of drifting snow in Antarctica, Part I: Methods and model
evaluation, J. Geophys. Res., 117, D05108, https://doi.org/10.1029/2011JD016145, 2012a.
Lenaerts, J. T. M., van den Broeke, M. R., van Angelen, J. H., van Meijgaard,
E., and Déry, S. J.: Drifting snow climate of the Greenland ice sheet: a
study with a regional climate model, The Cryosphere, 6, 891–899,
https://doi.org/10.5194/tc-6-891-2012, 2012b.
Machguth, H., Thomsen, H. H., Weidick, A., Abermann, J., Ahlstrøm, A. P.,
Andersen, M. L., Andersen, S. B., Bjørk, A. A., Box, J. E., Braithwaite,
R. J., Bøggild, C. E., Citterio, M., Clement, P., Colgan, W., Fausto, R.
S., Gleie, K., Hasholt, B., Hynek, B., Knudsen, N. T., Larsen, S. H.,
Mernild, S., Oerlemans, J., Oerter, H., Olesen, O. B., Smeets, C. J. P. P.,
Steffen, K., Stober, M., Sugiyama, S., van As, D., van den Broeke, M. R., and
van de Wal, R. S.: Greenland surface mass balance observations from the ice
sheet ablation area and local glaciers, J. Glaciol., 62, 861–887,
https://doi.org/10.1017/jog.2016.75, 2016.
Matoba, T., Motoyama, H., Fujita, K., Yamasaki, T., Minowa, M., Onuma, Y.,
Komuro, Y., Aoki, T., Yamaguchi, S., Sugiyama, S., and Enomoto, H.:
Glaciological and meteorological observations at the SIGMA-D site,
northwestern Greenland Ice Sheet, Bull. Glaciol. Res., 33, 7–14,
https://doi.org/10.5331/bgr.33.7, 2015.
Moore, G. W. K., Bromwich, D. H., Wilson, A. B., Renfrew, I., and Bai, L.:
Arctic System Reanalysis improvements in topographically forced winds near
Greenland, Q. J. Roy. Meteorol. Soc., 142, 2033–2045, https://doi.org/10.1002/qj.2798,
2016.
Mote, T. L.: Greenland surface melt trends 1973–2007: evidence of a large
increase in 2007, Geophys. Res. Lett., 34, L22507, https://doi.org/10.1029/2007GL031976,
2007.
Mote, T. L.: MEaSUREs Greenland Surface Melt Daily 25 km EASE-Grid 2.0,
Version 1, Boulder, Colorado, USA, NASA National Snow and Ice Data Center
Distributed Active Archive Center,
https://doi.org/10.5067/MEASURES/CRYOSPHERE/nsidc-0533.001, 2014.
Murata, A., Sasaki, H., Kawase, H., Nosaka, M., Oh'izumi, M., Kato, T.,
Aoyagi, T., Shido, F., Hibino, K., Kanada, S., Suzuki-Parker, A., and
Nagatomo, T.: Projection of future climate change over Japan in ensemble
simulations with a high-resolution regional climate model, SOLA, 11, 90–94,
https://doi.org/10.2151/sola.2015-022, 2015.
Nakanishi, M. and Niino, H.: An improved Mellor-Yamada level-3 model: Its
numerical stability and application to a regional prediction of advection
fog, Bound.-Layer Meteor., 119, 397–407, https://doi.org/10.1007/s10546-005-9030-8,
2006.
Nghiem, S. V., Hall, D. K., Mote, T. L., Tedesco, M., Albert, M. R., Keegan,
K., Shuman, C. A., DiGirolamo, N. E., and Neumann, G.: The extreme melt
across the Greenland ice sheet in 2012, Geophys. Res. Lett., 39, L20502,
https://doi.org/10.1029/2012GL053611, 2012.
Niwano, M., Aoki, T., Kuchiki, K., Hosaka, M., and Kodama, Y.: Snow
Metamorphism and Albedo Process (SMAP) model for climate studies: Model
validation using meteorological and snow impurity data measured at Sapporo,
Japan, J. Geophys. Res., 117, F03008, https://doi.org/10.1029/2011JF002239, 2012.
Niwano, M., Aoki, T., Kuchiki, K., Hosaka, M., Kodama, Y., Yamaguchi, S.,
Motoyoshi, H., and Iwata, Y.: Evaluation of updated physical snowpack model
SMAP, Bull. Glaciol. Res., 32, 65–78, https://doi.org/10.5331/bgr.32.65, 2014.
Niwano, M., Aoki, T., Matoba, S., Yamaguchi, S., Tanikawa, T., Kuchiki, K.,
and Motoyama, H.: Numerical simulation of extreme snowmelt observed at the
SIGMA-A site, northwest Greenland, during summer 2012, The Cryosphere, 9,
971–988, https://doi.org/10.5194/tc-9-971-2015, 2015.
Noël, B., van de Berg, W. J., van Meijgaard, E., Kuipers Munneke, P., van
de Wal, R. S. W., and van den Broeke, M. R.: Evaluation of the updated
regional climate model RACMO2.3: summer snowfall impact on the Greenland Ice
Sheet, The Cryosphere, 9, 1831–1844, https://doi.org/10.5194/tc-9-1831-2015,
2015.
Noël, B., van de Berg, W. J., Machguth, H., Lhermitte, S., Howat, I.,
Fettweis, X., and van den Broeke, M. R.: A daily, 1 km resolution data set
of downscaled Greenland ice sheet surface mass balance (1958–2015), The
Cryosphere, 10, 2361–2377, https://doi.org/10.5194/tc-10-2361-2016, 2016.
Ohtake, H., Shimose, K.-I., Fonseca Jr., J., Takashima, T., Oozeki, T., and
Yamada, Y.: Accuracy of the solar irradiance forecasts of the Japan
Meteorological Agency mesoscale model for the Kanto region, Japan, Solar
Energy, 98, 138–152, https://doi.org/10.1016/j.solener.2012.10.007, 2013.
Orr, A., Hanna, E., Hunt, J. C., Cappelen, J., Steffen, K., and Stephens, A.
G.: Characteristics of stable flows over southern Greenland, Pure Appl.
Geophys., 162, 1747–1778, https://doi.org/10.1007/s00024-005-2691-x, 2005.
Reijmer, C. H., van den Broeke, M. R., Fettweis, X., Ettema, J., and Stap, L.
B.: Refreezing on the Greenland ice sheet: a comparison of parameterizations,
The Cryosphere, 6, 743–762, https://doi.org/10.5194/tc-6-743-2012, 2012.
Richards, L. A.: Capillary conduction of liquids through porous mediums, J.
Appl. Phys., 1, 318–333, https://doi.org/10.1063/1.1745010, 1931.
Rignot, E., Box, J. E., Burgess, E., and Hanna, E.: Mass balance of the
Greenland ice sheet from 1958 to 2007, Geophys. Res. Lett., 35, L20502,
https://doi.org/10.1029/2008GL035417, 2008.
Rignot, E., Velicogna, I., van den Broeke, M. R., Monaghan, A., and Lenaerts,
J.: Acceleration of the contribution of the Greenland and Antarctic ice
sheets to sea level rise, Geophys. Res. Lett., 38, L05503,
https://doi.org/10.1029/2011GL046583, 2011.
Saito, K., Fujita, T., Yamada, Y., Ishida, J., Kumagai, Y., Aranami, K.,
Ohmori, S., Nagasawa, R., Kumagai, S., Muroi, C., Kato, T., Eito, H., and
Yamazaki, Y.: The operational JMA nonhydrostatic mesoscale model, Mon.
Weather Rev., 134, 1266–1298, https://doi.org/10.1175/MWR3120.1, 2006.
Shimada, R., Takeuchi, N., and Aoki, T.: Inter-annual and geographical
variations in the extent of bare ice and dark ice on the Greenland ice sheet
derived from MODIS satellite images, Front. Earth Sci., 4, 1–10,
https://doi.org/10.3389/feart.2016.00043, 2016.
Simmons, A. J. and Poli, P.: Arctic warming in ERA-Interim and other
reanalyses, Q. J. Roy. Meteorol. Soc., 141, 1147–1162, https://doi.org/10.1002/qj.2422,
2015.
Steffen, K. and Box, J. E.: Surface climatology of the Greenland ice sheet:
Greenland Climate Network 1995–1999, J. Geophys. Res., 106, 33951–33964,
2001.
Takeuchi, N., Nagatsuka, N., Uetake, J., and Sshimada, R.: Spatial variations
in impurities (cryoconite) on glaciers in northwest Greenland, Bull. Glaciol.
Res., 32, 85–94, https://doi.org/10.5331/bgr.32.85, 2014.
Tedesco, M., Fettweis, X., Mote, T., Wahr, J., Alexander, P., Box, J. E., and
Wouters, B.: Evidence and analysis of 2012 Greenland records from spaceborne
observations, a regional climate model and reanalysis data, The Cryosphere,
7, 615–630, https://doi.org/10.5194/tc-7-615-2013, 2013.
Tedesco, M., Doherty, S., Fettweis, X., Alexander, P., Jeyaratnam, J., and
Stroeve, J.: The darkening of the Greenland ice sheet: trends, drivers, and
projections (1981–2100), The Cryosphere, 10, 477–496,
https://doi.org/10.5194/tc-10-477-2016, 2016.
van As, D., Hubbard, A. L., Hasholt, B., Mikkelsen, A. B., van den Broeke, M.
R., and Fausto, R. S.: Large surface meltwater discharge from the
Kangerlussuaq sector of the Greenland ice sheet during the record-warm year
2010 explained by detailed energy balance observations, The Cryosphere, 6,
199–209, https://doi.org/10.5194/tc-6-199-2012, 2012.
van den Broeke, M., Smeets, P., Ettema, J., van der Veen, C., van de Wal, R.,
and Oerlemans, J.: Partitioning of melt energy and meltwater fluxes in the
ablation zone of the west Greenland ice sheet, The Cryosphere, 2, 179–189,
https://doi.org/10.5194/tc-2-179-2008, 2008.
van den Broeke, M. R., Bamber, J., Ettema, J., Rignot, E., Schrama, E. J. O.,
van de Berg, W. J., van Meijgaard, E., Velicogna, I., and Wouters, B.:
Partitioning recent Greenland mass loss, Science, 326, 984–986,
https://doi.org/10.1126/science.1178176, 2009.
van den Broeke, M. R., Enderlin, E. M., Howat, I. M., Kuipers Munneke, P.,
Noël, B. P. Y., van de Berg, W. J., van Meijgaard, E., and Wouters, B.:
On the recent contribution of the Greenland ice sheet to sea level change,
The Cryosphere, 10, 1933–1946, https://doi.org/10.5194/tc-10-1933-2016, 2016.
Van Tricht, K., Lhermitte, S., Lenaerts, J. T. M., Gorodetskaya, I. V.,
L'Ecuyer, T. S., Noel, B., van den Broeke, M. R., Turner, D. D., and van
Lipzig, N. P. M.: Clouds enhance Greenland ice sheet meltwater runoff, Nat.
Commun., 7, 10266, https://doi.org/10.1038/ncomms10266, 2016.
Vaughan, D. G., Comiso, J. C., Allison, I., Carrasco, J., Kaser, G., Kwok,
R., Mote, P., Murray, T., Paul, F., Ren, J., Rignot, E., Solomina, O.,
Steffen, K., and Zhang, T.: Observations: Cryosphere, in: Climate Change
2013: The Physical Science Basis. Contribution of Working Group I to the
Fifth Assessment Report of the Intergovernmental Panel on Climate Change,
edited by: Stocker, T. F., Qin, D., Plattner, G. K., Tignor, M., Allen, S.
K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M., Cambridge
University Press, 317–382, 2013.
Vernon, C. L., Bamber, J. L., Box, J. E., van den Broeke, M. R., Fettweis,
X., Hanna, E., and Huybrechts, P.: Surface mass balance model intercomparison
for the Greenland ice sheet, The Cryosphere, 7, 599–614,
https://doi.org/10.5194/tc-7-599-2013, 2013.
Vionnet, V., Brun, E., Morin, S., Boone, A., Faroux, S., Le Moigne, P.,
Martin, E., and Willemet, J.-M.: The detailed snowpack scheme Crocus and its
implementation in SURFEX v7.2, Geosci. Model Dev., 5, 773–791,
https://doi.org/10.5194/gmd-5-773-2012, 2012.
Vionnet, V., Martin, E., Masson, V., Guyomarc'h, G., Naaim-Bouvet, F.,
Prokop, A., Durand, Y., and Lac, C.: Simulation of wind-induced snow
transport and sublimation in alpine terrain using a fully coupled
snowpack/atmosphere model, The Cryosphere, 8, 395–415,
https://doi.org/10.5194/tc-8-395-2014, 2014.
Warren, S. G. and Wiscombe, W. J.: A model for the spectral albedo of snow,
II: Snow containing atmospheric aerosols, J. Atmos. Sci., 37, 2734–2745,
https://doi.org/10.1175/1520-0469(1980)037<2734:AMFTSA>2.0.CO;2, 1980.
Wilton, D., Jowett, A., Hanna, E., Bigg, G., Van den Broeke, M., Fettweis,
X., and Huybrechts, P.: High resolution (1 km) positive degree-day modelling
of Greenland ice sheet surface mass balance, 1870–2012 using reanalysis
data, J. Glaciol., 63, 176–193, https://doi.org/10.1017/jog.2016.133, 2017.
Yamaguchi, S., Watanabe, K., Katsushima, T., Sato, A., and Kumakura, T.:
Dependence of the water retention curve of snow on snow characteristics, Ann.
Glaciol., 53, 6–12, https://doi.org/10.3189/2012AoG61A001, 2012.
Yamaguchi, S., Matoba, S., Yamazaki, T., Tsushima, A., Niwano, M., Tanikawa,
T., and Aoki, T.: Glaciological observations in 2012 and 2013 at SIGMA-A
site, Northwest Greenland, Bull. Glaciol. Res., 32, 95–105,
https://doi.org/10.5331/bgr.32.95, 2014.
Short summary
We present a high-resolution regional climate model called NHM–SMAP applied to the Greenland Ice Sheet (GrIS). The model forced by JRA-55 reanalysis is evaluated using in situ data from automated weather stations, stake measurements,
and ice core obtained from 2011 to 2014. By utilizing the model, we highlight that the choice of calculation schemes for vertical water movement in snow and firn has an effect of up to 200 Gt/year in the yearly accumulated GrIS-wide surface mass balance estimates.
We present a high-resolution regional climate model called NHM–SMAP applied to the Greenland Ice...
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