Simulated Greenland Surface Mass Balance in the GISS ModelE2 GCM: Role of the Ice Sheet Surface

[en] The rate of growth or retreat of the Greenland and Antarctic ice sheets remains a highly uncertain component of future sea level change. Here we examine the simulation of Greenland ice sheet surface mass balance (GrIS SMB) in the NASA Goddard Institute for Space Studies (GISS) ModelE2 General Circulation Model (GCM). GCMs are often limited in their ability to represent SMB compared with polar‐region Regional Climate Models (RCMs). We compare ModelE2 simulated GrIS SMB for present‐day (1996‐2005) simulations with fixed ocean conditions, at a spatial resolution of 2° latitude by 2.5° longitude (~200 km), with SMB simulated by the Modèle Atmosphérique Régionale (MAR) RCM (1996‐2005 at a 25 km resolution). ModelE2 SMB agrees well with MAR SMB on the whole, but there are distinct spatial patterns of differences and large differences in some SMB components. The impact of changes to the ModelE2 surface are tested, including a sub‐grid‐scale representation of SMB with surface elevation classes. This has a minimal effect on ice sheet‐wide SMB, but corrects local biases. Replacing fixed surface albedo with satellite‐derived values and an age‐dependent scheme has a larger impact, increasing simulated melt by 60‐100%. We also find that lower surface albedo can enhance the effects of elevation classes. Reducing ModelE2 surface roughness length to values closer to MAR reduces sublimation by ~50%. Further work is required to account for meltwater refreezing in ModelE2, and to understand how differences in atmospheric processes and model resolution influence simulated SMB.

Disciplines :

Earth sciences & physical geography

Author, co-author :

Alexander, P.

LeGrande, A.

Fischer, E.

Tedesco, M.

Fettweis, Xavier ; Université de Liège - ULiège > Département de géographie > Climatologie et Topoclimatologie

Kelley, M.

Nowicki, S.

Schmidt, G.

Language :

English

Title :

Simulated Greenland Surface Mass Balance in the GISS ModelE2 GCM: Role of the Ice Sheet Surface

Publication date :

28 January 2019

Journal title :

Journal of Geophysical Research

ISSN :

0148-0227

eISSN :

2156-2202

Publisher :

Wiley

Pages :

online

Peer reviewed :

Peer Reviewed verified by ORBi

Tags :

CÉCI : Consortium des Équipements de Calcul Intensif

Additional URL :

https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2018JF004772

Funders :

F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]

Available on ORBi :

since 04 February 2019

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Alexander, P. M., Tedesco, M., Fettweis, X., van de Wal, R. S. W., Smeets, C. J. P. P., & van den Broeke, M. R. (2014). Assessing spatio-temporal variability and trends in modelled and measured Greenland ice sheet albedo (2000–2013). The Cryosphere, 8(6), 2293–2312. https://doi.org/10.5194/tc-8-2293-2014
Bamber, J. L., Griggs, J. A., Hurkmans, R. T. W. L., Dowdeswell, J. A., Gogineni, S. P., Howat, I., Mouginot, J., Paden, J., Palmer, S., Rignot, E., & Steinhage, D. (2013). A new bed elevation dataset for Greenland. The Cryosphere, 7(2), 499–510. https://doi.org/10.5194/tc-7-499-2013
Bindschadler, R. A., Nowicki, S., Abe-Ouchi, A., Aschwanden, A., Choi, H., Fastook, J., Granzow, G., Greve, R., Gutowski, G., Herzfeld, U., Jackson, C., Johnson, J., Khroulev, C., Levermann, A., Lipscomb, W. H., Martin, M. A., Morlighem, M., Parizek, B. R., Pollard, D., Price, S. F., Ren, D., Saito, F., Sato, T., Seddik, H., Seroussi, H., Takahashi, K., Walker, R., & Wang, W. L. (2013). Ice-sheet model sensitivities to environmental forcing and their use in projecting future sea level (the SeaRISE project). Journal of Glaciology, 59(214), 195–224. https://doi.org/10.3189/2013JoG12J125
Boisvert, L. N., Lee, J. N., Lenaerts, J. T. M., Noël, B., van den Broeke, M. R., & Nolin, A. W. (2017). Using remotely sensed data from AIRS to estimate the vapor flux on the Greenland ice sheet: Comparisons with observations and a regional climate model. Journal of Geophysical Research: Atmospheres, 122, 202–229. https://doi.org/10.1002/2016JD025674
Bolch, T., Sandberg Sørensen, L., Simonsen, S. B., Mølg, N., Machguth, H., Rastner, P., & Paul, F. (2013). Mass loss of Greenland's glaciers and ice caps (2003–2008) revealed from ICESat laser altimetry. Geophysical Research Letters, 40, 875–881. https://doi.org/10.1002/grl.50270
Box, J. E., & Steffen, K. (2001). Sublimation on the Greenland ice sheet from automated weather station observations. Journal of Geophysical Research, 106(D24), 33,965–33,981. https://doi.org/10.1029/2001JD900219
Brun, E., David, P., Sudul, M., & Brunot, G. (1992). A numerical model to simulate snow-cover stratigraphy for operational avalanche forecasting. Journal of Glaciology, 38(128), 13–22.
Brun, E., Martin, E., Simon, V., Gendre, C., & Coleou, C. (1989). An energy and mass model of snow cover suitable for operational avalanche forecasting. Journal of Glaciology, 35(121), 333–342.
Brutsaert, W. (1982). Evaporation into the atmosphere: Theory, history, and applications. Dordrecht, Netherlands: Springer Netherlands.
Carlson, A. E., Anslow, F. S., Obbink, E. A., LeGrande, A. N., Ullman, D. J., & Licciardi, J. M. (2009). Surface-melt driven Laurentide Ice Sheet retreat during the early Holocene. Journal of Geophysical Research, 36, L24502. https://doi.org/10.1029/2009GL040948
Casey, K. A., Polashenski, C. M., Chen, J., & Tedesco, M. (2017). Impact of MODIS sensor calibration updates on Greenland Ice Sheet surface reflectance and albedo trends. The Cryosphere, 11(4), 1781–1795. https://doi.org/10.5194/tc-11-1781-2017
Church, J. A., Clark, P. U., Cazenave, A., Gregory, J. M., Jevrejeva, S., Levermann, A., Merrifield, M. A., Milne, G. A., Nerem, R. S., Nunn, P. D., Payne, A. J., Pfeffer, W. T., Stammer, D., & Unnikrishnan, A. S. (2013). Sea level change. In T. F. Stocker, D. Qin, G.-K. Plattner, M. Tignor, S. K. Allen, J. Boschung, et al. (Eds.), Climate change 2013: The physical science basis. Contribution of working group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (pp. 1137–1216). Cambridge, UK and New York, NY, USA: Cambridge Univ. Press.
Colgan, W., Box, J. E., Andersen, M. L., Fettweis, X., Csathó, B., Fausto, R. S., van As, D., & Wahr, J. (2015). Greenland high-elevation mass balance: Inference and implication of reference period (1961–90) imbalance. Annals of Glaciology, 56(70), 105–117. https://doi.org/10.3189/2015AoG70A967
Cullather, R. I., Nowicki, S. M. J., Zhao, B., & Suarez, M. J. (2014). Evaluation of the surface representation of the Greenland ice sheet in a general circulation model. Journal of Climate, 27(13), 4835–4856. https://doi.org/10.1175/JCLI-D-13-00635.1
De Ridder, K., & Gallée, H. (1998). Land surface-induced regional climate change in southern Israel. Journal of Applied Meteorology, 37, 1470–1485.
DeRidder, K., & Schayes, G. (1997). The IAGL land surface model. Journal of Applied Meteorology, 36, 167–182.
Enderlin, E. M., Howat, I. M., Jeong, S., Noh, M.-J., van Angelen, J. H., & van den Broeke, M. R. (2014). An improved mass budget for the Greenland ice sheet. Geophysical Research Letters, 41, 866–872. https://doi.org/10.1002/2013GL059010
Ettema, J., van den Broeke, M. R., van Meijgaard, E., van de Berg, W. J., Bamber, J. L., Box, J. E., & Bales, R. C. (2009). Higher surface mass balance of the Greenland ice sheet revealed by high-resolution climate modeling. Geophysical Research Letters, 36, L12501. https://doi.org/10.2019/2009GL038110
Eyring, V., Bony, S., Meehl, G. A., Senior, C. A., Stevens, B., Stouffer, R. J., & Taylor, K. E. (2016). Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization. Geoscientific Model Development, 9(5), 1937–1958. https://doi.org/10.5194/gmd-9-1937-2016
Fausto, R. S., Ahlstrøm, A. P., van As, D., Bøggild, C., & Johnsen, S. J. (2009). A new present-day temperature parameterization for Greenland. Journal of Glaciology, 55(189), 95–105.
Fettweis, X., Box, J. E., Agosta, C., Amory, C., Kittel, C., Lang, C., van As, D., Machguth, H., & Gallée, H. (2017). Reconstructions of the 1900–2015 Greenland ice sheet surface mass balance using the regional climate MAR model. The Cryosphere, 11(2), 1015–1033. https://doi.org/10.5194/tc-11-1015-2017
Fettweis, X., Hanna, E., Lang, C., Belleflamme, A., Erpicum, M., & Gallée, H. (2013). Brief communication: “Important role of the mid-tropospheric atmospheric circulation in the recent surface melt increase over the Greenland ice sheet”. The Cryosphere, 7, 241–248. https://doi.org/10.5194/tc-7-241-2013
Fettweis, X., Tedesco, M., van den Broeke, M., & Ettema, J. (2011). Melting trends over the Greenland ice sheet (1958–2009) from spaceborne microwave data and regional climate models. The Cryosphere, 5(2), 359–375. https://doi.org/10.5194/tc-5-359-2011
Fischer, R., Nowicki, S., Kelley, M., & Schmidt, G. A. (2014). A system of conservative regridding for ice-atmosphere coupling in a general circulation model (GCM). Geoscientific Model Development, 7(3), 883–907. https://doi.org/10.5194/gmd-7-883-2014
Franco, B., Fettweis, X., Lang, C., & Erpicum, M. (2012). Impact of spatial resolution on the modelling of the Greenland ice sheet surface mass balance between 1990–2010, using the regional climate model MAR. The Cryosphere, 6, 695–711. https://doi.org/10.5194/tc-6-695-2012
Gallée, H., Guyomarc'h, G., & Brun, E. (2001). Impact of snow drift on the Antarctic Ice Sheet surface mass balance: Possible sensitivity to snow-surface properties. Boundary-Layer Meteorology, 99(1), 1–19. https://doi.org/10.1023/A:1018776422809
Gallée, H., & Schayes, G. (1994). Development of a three-dimensional meso-γ primitive equation model: Katabatic winds simulation in the area of Terra Nova Bay, Antarctica. Monthly Weather Review, 122(4), 671–685.
Gallée, H., Trouvilliez, A., Agosta, C., Genthon, C., Favier, V., & Naaim-Bouvet, F. (2013). Transport of snow by the wind: A comparison between observations in Adélie Land, Antarctica, and simulations made with the regional climate model MAR. Boundary-Layer Meteorology, 146(1), 133–147. https://doi.org/10.1007/s10546-012-9764-z
Gelaro, R., McCarty, W., Suarez, M., Todling, R., Molod, A., Takacs, L., Randles, C. A., Darmenov, A., Bosilovich, M. G., Reichle, R., Wargan, K., Coy, L., Cullather, R., Draper, C., Akella, S., Buchard, V., Conaty, A., da Silva, A. M., Gu, W., Kim, G.-K., Koster, R., Lucchesi, R., Merkova, D., Nielsen, J. E., Partyka, G., Pawson, S., Putman, W., Rienecker, M., Schubert, S. D., Sienkiewicz, M., & Zhao, B. (2017). The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2). Journal of Climate, 30(14), 5419–5454. https://doi.org/10.1175/JCLI-D-16-0758.1
Hall, D. K., Salomonson, V. V., & Riggs, G. A. (2012). MODIS/Terra snow cover daily L3 global 500 m grid, version 5 [Tiles h15v02, h16v02, h17v02, h16v01, h16v00, h17v00]. Boulder, CO: National Snow and Ice Data Center.
Hanna, E., Fettweis, X., & Hall, R. J. (2018). Brief communication: Recent changes in summer Greenland blocking captured by none of the CMIP5 models. The Cryosphere, 12, 3287–3292. https://doi.org/10.5194/tc-12-3287-2018
Hansen, J., Russell, G., Rind, D., Stone, P., Lacis, A., Lebedeff, S., Ruedy, R., & Travis, L. (1983). Efficient three-dimensional global models for climate studies: Models I and II. Monthly Weather Review, 111(4), 609–662.
Helsen, M. M., van de Wal, R. S. W., Reerink, T. S., Bintanja, R., Madsen, M. S., Yang, S., Li, Q., & Zhang, Q. (2017). On the importance of the albedo parameterization for the mass balance of the Greenland ice sheet in EC-Earth. The Cryosphere, 11(4), 1949–1965. https://doi.org/10.5194/tc-11-1949-2017
Hofer, S., Tedstone, A. J., Fettweis, X., & Bamber, J. L. (2017). Decreasing cloud cover drives the recent mass loss on the Greenland ice sheet. Science Advances, 3, e1700584. https://doi.org/10.1126/sciadv.1700584
Humphrey, N. F., Harper, J. T., & Pfeffer, W. T. (2012). Thermal tracking of meltwater retention in Greenland's accumulation area. Journal of Geophysical Research, 117, F01010. https://doi.org/10.1029/2011JF002083
Khan, S. A., Aschwanden, A., Bjørk, A. A., Wahr, J., Kjeldsen, K. K., & Kjær, K. H. (2015). Greenland ice sheet mass balance: A review. Reports on Progress in Physics, 78(4), 046801. https://doi.org/10.1088/0034-4885/78/4/046801
Kim, D., Sobel, A. H., Del Genio, A., Chen, Y.-H., Carmago, S. J., Yao, M.-S., Kelley, M., & Nazarenko, L. (2012). The tropical subseasonal variability simulated in the NASA GISS general circulation model. Journal of Climate, 25, 4641–4659. https://doi.org/10.1175/JCLI-D-11-00447.1
Langen, P. L., Fausto, R. S., Vandecrux, B., Mottram, R. H., & Box, J. E. (2017). Liquid water flow and retention on the Greenland ice sheet in the regional climate model HIRHAM5: Local and large-scale impacts. Frontiers in Earth Science, 4, 110. https://doi.org/10.3389/feart.2016.00110
Lefebre, F., Gallée, H., van Ypersele, J.-P., & Greuell, W. (2003). Modeling of snow and ice melt at ETH Camp (west Greenland): A study of surface albedo. Journal of Geophysical Research, 108(D8), 4231. https://doi.org/10.1029/2001JD001160
Lenaerts, J. T. M., van den Broeke, M. R., Déry, S. J., van Meijgaard, E., van de Berg, W. J., Palm, S. P., & Sanz Rodrigo, J. (2012). Modeling drifting snow in Antarctica with a regional climate model: 1. Methods and model evaluation. Journal of Geophysical Research, 117, D05108. https://doi.org/10.1029/2011JD016145
Lenaerts, J. T. M., Vizcaino, M., Fyke, J., van Kampenhout, L., &van denBroeke, M. R. (2016) Present-day and future Antarctic ice sheet climate and surface mass balance in the Community Earth System Model. Climate Dynamics, 47, 1367–1381. https://doi.org/10.1029/2011JD016145
Leung, L. R., & Ghan, S. J. (1998). Parameterizing subgrid orographic precipitation and surface cover in climate models. Monthly Weather Review, 126, 3271–3291.
Lucas-Picher, P., Wulff-Nielsen, M., Christensen, J. H., Aðalgeirsdóttir, G., Mottram, R., & Simonsen, S. B. (2012). Very high resolution regional climate model simulations over Greenland: Identifying added value. Journal of Geophysical Research, 117, D02108. https://doi.org/10.1029/2011JD016267
Lund, M., Stiegler, C., Abermann, J., Citterio, M., Hansen, B. U., & van As, D. (2017). Spatiotemporal variability in surface energy balance across tundra, snow and ice in Greenland. Ambio, 46(Suppl. 1), S81–S93. https://doi.org/10.1007/s13280-016-0867-5
Marshall, J., & Plumb, R. A. (2008). Atmosphere, ocean, and climate dynamics: An introductory text. Amsterdam, Netherlands and Burlington, MA: Elsevier Academic Press.
Mattingly, K. S., Mote, T. L., & Fettweis, X. (2018). Atmospheric river impacts on Greenland ice sheet surface mass balance. Journal of Geophysical Research: Atmospheres, 123, 8538–8560. https://doi.org/10.1029/2018JD028714
Miller, N. B., Shupe, M. D., Lenaerts, J. T. M., Kay, J. E., de Boer, G., & Bennartz, R. (2018). Process-based model evaluation using surface energy budget observations in central Greenland. Journal of Geophysical Research: Atmospheres, 123, 4777–4796. https://doi.org/10.1029/2017JD027377
Noël, B., van de Berg, W. J., van Meijgaard, E., Kuipers Munneke, P., van de Wal, R. S. W., & van den Broeke, M. R. (2015). Evaluation of the updated regional climate model RACMO2.3: Summer snowfall impact on the Greenland ice sheet. The Cryosphere, 9(5), 1831–1844. https://doi.org/10.5194/tc-9-1831-2015
Noël, B., Jan Van De Berg, W., Machguth, H., Lhermitte, S., Howat, I., Fettweis, X., & Van Den Broeke, M. R. (2016). A daily, 1 km resolution data set of downscaled Greenland ice sheet surface mass balance (1958–2015). Cryosphere, 10(5), 2361–2377. https://doi.org/10.5194/tc-10-2361-2016
Nowicki, S., Bindschadler, R. A., Abe-Ouchi, A., Aschwanden, A., Bueler, E., Choi, H., Fastook, J., Granzow, G., Greve, R., Gutowski, G., Herzfeld, U., Jackson, C., Johnson, J., Khroulev, C., Larour, E., Levermann, A., Lipscomb, W. H., Martin, M. A., Morlighem, M., Parizek, B. R., Pollard, D., Price, S. F., Ren, D., Rignot, E., Saito, F., Sato, T., Seddik, H., Seroussi, H., Takahashi, K., Walker, R., & Wang, W. L. (2013). Insights into spatial sensitivities of ice mass response to environmental change from the SeaRISE ice sheet modeling project I: Antarctica. Journal of Geophysical Research: Earth Surface, 118, 1002–1024. https://doi.org/10.1002/jgrf.20081
Nowicki, S. M. J., Payne, A., Larour, E., Seroussi, H., Goelzer, H., Lipscomb, W., Gregory, J., Abe-Ouchi, A., & Shepherd, A. (2016). Ice sheet model intercomparison project (ISMIP6) contribution to CMIP6. Geoscientific Model Development, 9(12), 4521–4545. https://doi.org/10.5194/gmd-9-4521-2016
Polashenski, C. M., Dibb, J. E., Flanner, M. G., Chen, J. Y., Courville, Z. R., Lai, A. M., Schauer, J. J., Shafer, M. M., & Bergin, M. (2015). Neither dust nor black carbon causing apparent albedo decline in Greenland's dry snow zone: Implications for MODIS C5 surface reflectance. Geophysical Research Letters, 42, 9319–9327. https://doi.org/10.1002/2015GL065912
Reeh, N. (1991). Parameterization of melt rate and surface temperature on the Greenland ice sheet. Polarforschung, 59(3), 113–128.
Rignot, E., Velicogna, I., van den Broeke, M. R., Monaghan, A., & Lenaerts, J. T. M. (2011). Acceleration of the contribution of the Greenland and Antarctic ice sheets to sea level rise. Geophysical Research Letters, 38, L05503. https://doi.org/10.1029/2011GL046583
Rothman, L. S., Gordon, I. E., Babikov, Y., Barbe, A., Benner, D. C., Bernath, P. F., Birk, M., Bizzocchi, L., Boudon, V., Brown, L. R., Campargue, A., Chance, K., Cohen, E. A., Coudert, L. H., Devi, V. M., Drouin, B. J., Fayt, A., Flaud, J.-M., Gamache, R. R., Harrison, J. J., Hartmann, J.-M., Hill, C., Hodges, J. T., Jacquemart, D., Jolly, A., Lamouroux, J., le Roy, R. J., Li, G., Long, D. A., Lyulin, O. M., Mackie, C. J., Massie, S. T., Mikhailenko, S., Müller, H. S. P., Naumenko, O. V., Nikitin, A. V., Orphal, J., Perevalov, V., Perrin, A., Polovtseva, E. R., Richard, C., Smith, M. A. H., Starikova, E., Sung, K., Tashkun, S., Tennyson, J., Toon, G. C., Tyuterev, V. I. G., & Wagner, G. (2013). The HITRAN2012 molecular spectroscopic database. Journal of Quantitative Spectroscopy and Radiative Transfer, 130, 4–50. https://doi.org/10.1016/j.jsqrt.2013.07.002
Schlegel, N., Larour, E., Seroussi, H., & Box, J. E. (2015). Ice discharge uncertainties in Northeast Greenland from boundary conditions and climate forcing of an ice flow model. Journal of Geophysical Research: Earth Surface, 120, 29–54. https://doi.org/10.1002/2014JF003359
Schmidt, G., Kelley, M., Nazarenko, L., Ruedy, R., Russell, G. L., Aleinov, I., Bauer, M., Bauer, S. E., Bhat, M. K., Bleck, R., Canuto, V., Chen, Y.-H., Cheng, Y., Clune, T. L., del Genio, A., de Fainchtein, R., Faluvegi, G., Hansen, J. E., Healy, R. J., Kiang, N. Y., Koch, D., Lacis, A. A., LeGrande, A. N., Lerner, J., Lo, K. K., Matthews, E. E., Menon, S., Miller, R. L., Oinas, V., Oloso, A. O., Perlwitz, J. P., Puma, M. J., Putman, W. M., Rind, D., Romanou, A., Sato, M., Shindell, D. T., Sun, S., Syed, R. A., Tausnev, N., Tsigaridis, K., Unger, N., Voulgarakis, A., Yao, M.-S., & Zhang, J. (2014). Configuration and assessment of the GISS ModelE2 contributions to the CMIP5 archive. Journal of Advances in Modeling Earth Systems, 6, 141–184. https://doi.org/10.1002/2013MS000265
Schmidt, G. A., Ruedy, R., Hansen, J. E., Aleinov, I., Bell, N., Bauer, M., Bauer, S., Cairns, B., Canuto, V., Cheng, Y., del Genio, A., Faluvegi, G., Friend, A. D., Hall, T. M., Hu, Y., Kelley, M., Kiang, N. Y., Koch, D., Lacis, A. A., Lerner, J., Lo, K. K., Miller, R. L., Nazarenko, L., Oinas, V., Perlwitz, J., Perlwitz, J., Rind, D., Romanou, A., Russell, G. L., Sato, M., Shindell, D. T., Stone, P. H., Sun, S., Tausnev, N., Thresher, D., & Yao, M. S. (2006). Present-day atmospheric simulations using GISS ModelE: Comparisons to in situ, satellite, and reanalysis data. Journal of Climate, 19(2), 153–192. https://doi.org/10.1175/JCLI3612.1
Shepherd, A., Ivins, E. R., Gerou, A., Barletta, V. R., Bentley, M. G., Bettadpur, S., Briggs, K. H., Bromwich, D. H., Forsberg, R., Galin, N., Horwath, M., Jacobs, S., Joughin, I., King, M. A., Lenaerts, J. T. M., Li, J., Ligtenberg, S. R. M., Luckman, A., Luthcke, S. B., McMillan, M., Meister, R., Milne, G., Mouginot, J., Muir, A., Nicolas, J. P., Paden, J., Payne, A. J., Pritchard, H., Rignot, E., Rott, H., Sorensen, L. S., Scambos, T. A., Scheuchl, B., Schrama, E. J. O., Smith, B., Sundal, A. V., van Angelen, J. H., van de Berg, W. J., van den Broeke, M. R., Vaughan, D. G., Velicogna, I., Whitehouse, J. W. P. L., Wingham, D. J., Yi, D., Young, D., & Zwally, H. J. (2012). A reconciled estimate of ice-sheet mass balance. Science, 338(6111), 1183–1189. https://doi.org/10.1126/science.1228102
Smeets, P. C. J. P., Kuipers Munneke, P., van As, D., van den Broeke, M. R., Boot, W., Oerlemans, H., Snellen, H., Reijmer, C. H., & van de Wal, R. S. W. (2018). The K-transect in west Greenland: Automatic weather station data (1993–2016). Arctic, Antarctic, and Alpine Research, 50(1). https://doi.org/10.1080/15230430.2017.1420954
Steffen, K., & Box, J. E. (2001). Surface climatology of the Greenland ice sheet: Greenland Climate Network 1995–1999. Journal of Geophysical Research, 106(D12), 33951–33964. https://doi.org/10.1029/2001JD900161
Steger, C. R., Reijmer, C. H., van den Broeke, M. R., Wever, N., Forster, R. R., Koenig, L. S., Kuipers Munneke, P., Lehning, M., Lhermitte, S., Ligtenberg, S. R. M., Miège, C., & Noël, B. P. Y. (2017). Firn meltwater retention on the Greenland ice sheet: A model comparison. Frontiers in Earth Science, 5. https://doi.org/10.3389/feart.2017.00003
Tedesco, M.&Alexander, P. (2013).MODIS (MOD10A1) albedo data on the MAR RCM grid (2000–2013). NSF Arctic Data Archive. doi:https://doi.org/10.18739/A2SK7T
Tedesco, M., Doherty, S., Fettweis, X., Alexander, P., Jeyaratnam, J., & Stroeve, J. (2016). 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
Tedesco, M., Serreze, M., & Fettweis, X. (2008). Diagnosing the extreme surface melt event over southwestern Greenland in 2007. The Cryosphere, 2, 159–166. https://doi.org/10.5194/tc-2-159-2008
van Angelen, J. H., Lenaerts, J. T. M., Lhermitte, S., Fettweis, X., Kuipers Munneke, P., van den Broeke, van Meijgaard, E., & Smeets, C. J. P. P. (2012). Sensitivity of the Greenland ice sheet surface mass balance to surface albedo parameterization: A study with a regional climate model. The Cryosphere, 6(5), 1175–1186. https://doi.org/10.5194/tc-6-1175-2012
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., & Wouters, B. (2016). On the recent contribution of the Greenland ice sheet to sea level change. The Cryosphere, 10(5), 1933–1946. https://doi.org/10.5194/tc-10-1933-2016
van den Broeke, M. R., Smeets, C. J. P. P., & van den Wal, R. S. W. (2011). The seasonal cycle and interannual variability of the surface energy balance and melt in the ablation zone of the west Greenland ice sheet. The Cryosphere, 5, 377–390. https://doi.org/10.5194/tc-5-377-2011
Van Tricht, K., Lhermitte, S., Lenaerts, J. T., Gorodetskaya, I. V., L'Ecuyer, T. S., Noël, B., van den Broeke, M. R., Turner, D. D., & van Lipzig, N. P. M. (2016). Clouds enhance Greenland ice sheet meltwater runoff. Nature Communications, 7, 10266. https://doi.org/10.1038/ncomms10266
Velicogna, I., Sutterly, T. C., & van den Broeke, M. R. (2017). Regional acceleration in ice mass loss from Greenland and Antarctica using GRACE time-variable gravity data. Geophysical Research Letters, 41, 8130–8137. https://doi.org/10.1002/2014GL061052
Vizcaíno, M., Lipscomb, W. H., Sacks, W. J., van Angelen, J. H., Wouters, B., & van den Broeke, M. R. (2013). Greenland surface mass balance as simulated by the Community Earth System Model. Part 1: Model Evaluation and 1850–2005 results. Journal of Climate, 26(20), 7793–7812. https://doi.org/10.1175/JCLI-D-12-00615.1
Yao, M.-S., & Cheng, Y. (2012). Cloud simulations in response to turbulence parameterizations in the GISS Model E GCM. Journal of Climate, 25, 4963–4974. https://doi.org/10.1175/JCLI-D-11-00399.1