Articles | Volume 15, issue 4
https://doi.org/10.5194/tc-15-1931-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-15-1931-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 Apr 2021
Research article |
| 21 Apr 2021
| 21 Apr 2021
Spectral attenuation coefficients from measurements of light transmission in bare ice on the Greenland Ice Sheet
Department of Geography, University of California, Los Angeles, Los
Angeles, California, 90027, USA
Pacific Northwest National Laboratory, Richland, Washington, 99354,
USA
Laurence C. Smith
Institute at Brown for Environment and Society, Brown University,
Providence, Rhode Island, 02912, USA
Department of Earth, Environmental and Planetary Sciences, Brown
University, Providence, Rhode Island, 02912, USA
Department of Geography, University of California, Los Angeles, Los
Angeles, California, 90027, USA
Asa K. Rennermalm
Department of Geography, Rutgers, The State University of New Jersey, New Brunswick, New Jersey, 08854, USA
Marco Tedesco
NASA Goddard Institute for Space Studies, New York, New York, 10025, USA
Lamont-Doherty Earth Observatory, Columbia University, New York, New York, 10964, USA
Rohi Muthyala
Department of Geography, Rutgers, The State University of New Jersey, New Brunswick, New Jersey, 08854, USA
Sasha Z. Leidman
Department of Geography, Rutgers, The State University of New Jersey, New Brunswick, New Jersey, 08854, USA
Samiah E. Moustafa
Institute at Brown for Environment and Society, Brown University,
Providence, Rhode Island, 02912, USA
Jessica V. Fayne
Department of Geography, University of California, Los Angeles, Los
Angeles, California, 90027, USA
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Claire E. Simpson, Christopher D. Arp, Yongwei Sheng, Mark L. Carroll, Benjamin M. Jones, and Laurence C. Smith
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This study compares hourly supraglacial moulin discharge simulations from three surface meltwater routing models. Results show that these models are superior to simply using regional climate model runoff without routing, but different routing models, different-spatial-resolution DEMs, and parameterized seasonal evolution of supraglacial stream and river networks induce significant variability in diurnal moulin discharges and corresponding subglacial effective pressures.
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The Cryosphere, 14, 2687–2713, https://doi.org/10.5194/tc-14-2687-2020, https://doi.org/10.5194/tc-14-2687-2020, 2020
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Colleen Mortimer, Lawrence Mudryk, Chris Derksen, Kari Luojus, Ross Brown, Richard Kelly, and Marco Tedesco
The Cryosphere, 14, 1579–1594, https://doi.org/10.5194/tc-14-1579-2020, https://doi.org/10.5194/tc-14-1579-2020, 2020
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Existing stand-alone passive microwave SWE products have markedly different climatological SWE patterns compared to reanalysis-based datasets. The AMSR-E SWE has low spatial and temporal correlations with the four reanalysis-based products evaluated and GlobSnow and perform poorly in comparisons with snow transect data from Finland, Russia, and Canada. There is better agreement with in situ data when multiple SWE products, excluding the stand-alone passive microwave SWE products, are combined.
Marco Tedesco and Xavier Fettweis
The Cryosphere, 14, 1209–1223, https://doi.org/10.5194/tc-14-1209-2020, https://doi.org/10.5194/tc-14-1209-2020, 2020
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Unprecedented atmospheric conditions occurring in the summer of 2019 over Greenland promoted new record or close-to-record values of mass loss. Summer of 2019 was characterized by an exceptional persistence of anticyclonic conditions that enhanced melting.
Marco Tedesco, Steven McAlpine, and Jeremy R. Porter
Nat. Hazards Earth Syst. Sci., 20, 907–920, https://doi.org/10.5194/nhess-20-907-2020, https://doi.org/10.5194/nhess-20-907-2020, 2020
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Quantifying the exposure of house property to extreme weather events is crucial to study their impact on economy. Here, we show that value of property exposed to Hurricane Florence in September 2018 was USD 52 billion vs. USD 10 billion that would have occurred at the beginning of the 19th century due to urban expansion that increased after 1950s and the increasing number of houses built near water, showing the importance of accounting for the distribution of new buildings in risk and exposure.
Marilena Oltmanns, Fiammetta Straneo, and Marco Tedesco
The Cryosphere, 13, 815–825, https://doi.org/10.5194/tc-13-815-2019, https://doi.org/10.5194/tc-13-815-2019, 2019
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By combining reanalysis, weather station and satellite data, we show that increases in surface melt over Greenland are initiated by large-scale precipitation events year-round. Estimates from a regional climate model suggest that the initiated melting more than doubled between 1988 and 2012, amounting to ~28 % of the overall melt and revealing that, despite the involved mass gain, precipitation events are contributing to the ice sheet's decline.
Kang Yang, Laurence C. Smith, Leif Karlstrom, Matthew G. Cooper, Marco Tedesco, Dirk van As, Xiao Cheng, Zhuoqi Chen, and Manchun Li
The Cryosphere, 12, 3791–3811, https://doi.org/10.5194/tc-12-3791-2018, https://doi.org/10.5194/tc-12-3791-2018, 2018
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A high-resolution spatially lumped hydrologic surface routing model is proposed to simulate meltwater transport over bare ice surfaces. In an ice-covered catchment, meltwater is routed by slow interfluve flow (~10−3–10−4 m s−1) followed by fast open-channel flow (~10−1 m s−1). Seasonal evolution of supraglacial stream-river networks substantially alters the magnitude and timing of moulin discharge with implications for subglacial hydrology and ice dynamics.
Rajashree Tri Datta, Marco Tedesco, Cecile Agosta, Xavier Fettweis, Peter Kuipers Munneke, and Michiel R. van den Broeke
The Cryosphere, 12, 2901–2922, https://doi.org/10.5194/tc-12-2901-2018, https://doi.org/10.5194/tc-12-2901-2018, 2018
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Surface melting on the East Antarctic Peninsula (East AP) has been linked to ice shelf collapse, including the Larsen A (1995) and Larsen B (2002) ice shelves. Regional climate models (RCMs) are a valuable tool to understand how wind patterns and general warming can impact the stability of ice shelves through surface melt. Here, we evaluate one such RCM (Modèle Atmosphérique Régionale) over the East AP, including the remaining Larsen C ice shelf, by comparing it to satellite and ground data.
Achim Heilig, Olaf Eisen, Michael MacFerrin, Marco Tedesco, and Xavier Fettweis
The Cryosphere, 12, 1851–1866, https://doi.org/10.5194/tc-12-1851-2018, https://doi.org/10.5194/tc-12-1851-2018, 2018
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This paper presents data on temporal changes in snow and firn, which were not available before. We present data on water infiltration in the percolation zone of the Greenland Ice Sheet that improve our understanding of liquid water retention in snow and firn and mass transfer. We compare those findings with model simulations. It appears that simulated accumulation in terms of SWE is fairly accurate, while modeling of the individual parameters density and liquid water content is incorrect.
Matthew G. Cooper, Laurence C. Smith, Asa K. Rennermalm, Clément Miège, Lincoln H. Pitcher, Jonathan C. Ryan, Kang Yang, and Sarah W. Cooley
The Cryosphere, 12, 955–970, https://doi.org/10.5194/tc-12-955-2018, https://doi.org/10.5194/tc-12-955-2018, 2018
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We present measurements of ice density that show the melting bare-ice surface of the Greenland ice sheet study site is porous and saturated with meltwater. The data suggest up to 18 cm of meltwater is temporarily stored within porous, low-density ice. The findings imply meltwater drainage off the ice sheet surface is delayed and that the surface mass balance of the ice sheet during summer cannot be estimated solely from ice surface elevation change measurements.
Julienne C. Stroeve, John R. Mioduszewski, Asa Rennermalm, Linette N. Boisvert, Marco Tedesco, and David Robinson
The Cryosphere, 11, 2363–2381, https://doi.org/10.5194/tc-11-2363-2017, https://doi.org/10.5194/tc-11-2363-2017, 2017
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As the sea ice has declined strongly in recent years there has been a corresponding increase in Greenland melting. While both are likely a result of changes in atmospheric circulation patterns that favor summer melt, this study evaluates whether or not sea ice reductions around the Greenland ice sheet are having an influence on Greenland summer melt through enhanced sensible and latent heat transport from open water areas onto the ice sheet.
Kimberly A. Casey, Chris M. Polashenski, Justin Chen, and Marco Tedesco
The Cryosphere, 11, 1781–1795, https://doi.org/10.5194/tc-11-1781-2017, https://doi.org/10.5194/tc-11-1781-2017, 2017
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We analyzed Greenland Ice Sheet (GrIS) average summer surface reflectance and albedo (2001–2016). MODIS Collection 6 data show a decreased magnitude of change over time due to sensor calibration corrections. Spectral band maps provide insight into GrIS surface processes likely occurring. Correctly measuring albedo and surface reflectance changes over time is crucial to monitoring atmosphere–ice interactions and ice mass balance. The results are applicable to many long-term MODIS studies.
Lora S. Koenig, Alvaro Ivanoff, Patrick M. Alexander, Joseph A. MacGregor, Xavier Fettweis, Ben Panzer, John D. Paden, Richard R. Forster, Indrani Das, Joesph R. McConnell, Marco Tedesco, Carl Leuschen, and Prasad Gogineni
The Cryosphere, 10, 1739–1752, https://doi.org/10.5194/tc-10-1739-2016, https://doi.org/10.5194/tc-10-1739-2016, 2016
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Contemporary climate warming over the Arctic is accelerating mass loss from the Greenland Ice Sheet through increasing surface melt, emphasizing the need to closely monitor surface mass balance in order to improve sea-level rise predictions. Here, we quantify the net annual accumulation over the Greenland Ice Sheet, which comprises the largest component of surface mass balance, at a higher spatial resolution than currently available using high-resolution, airborne-radar data.
Patrick M. Alexander, Marco Tedesco, Nicole-Jeanne Schlegel, Scott B. Luthcke, Xavier Fettweis, and Eric Larour
The Cryosphere, 10, 1259–1277, https://doi.org/10.5194/tc-10-1259-2016, https://doi.org/10.5194/tc-10-1259-2016, 2016
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We compared satellite-derived estimates of spatial and seasonal variations in Greenland Ice Sheet mass with a set of model simulations, revealing an agreement between models and satellite estimates for the ice-sheet-wide seasonal fluctuations in mass, but disagreement at finer spatial scales. The model simulations underestimate low-elevation mass loss. Improving the ability of models to capture variations and trends in Greenland Ice Sheet mass is important for estimating future sea level rise.
Marco Tedesco, Sarah Doherty, Xavier Fettweis, Patrick Alexander, Jeyavinoth Jeyaratnam, and Julienne Stroeve
The Cryosphere, 10, 477–496, https://doi.org/10.5194/tc-10-477-2016, https://doi.org/10.5194/tc-10-477-2016, 2016
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Summer surface albedo over Greenland decreased at a rate of 0.02 per decade between 1996 and 2012. The decrease is due to snow grain growth, the expansion of bare ice areas, and trends in light-absorbing impurities on snow and ice surfaces. Neither aerosol models nor in situ observations indicate increasing trends in impurities in the atmosphere over Greenland. Albedo projections through to the end of the century under different warming scenarios consistently point to continued darkening.
M. Navari, S. A. Margulis, S. M. Bateni, M. Tedesco, P. Alexander, and X. Fettweis
The Cryosphere, 10, 103–120, https://doi.org/10.5194/tc-10-103-2016, https://doi.org/10.5194/tc-10-103-2016, 2016
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An ensemble batch smoother was used to assess the feasibility of generating a reanalysis estimate of the Greenland ice sheet (GrIS) surface mass fluxes (SMF) via integrating measured ice surface temperatures with a regional climate model estimate. The results showed that assimilation of IST were able to overcome uncertainties in meteorological forcings that drive the GrIS surface processes. We showed that the proposed methodology is able to generate posterior reanalysis estimates of the SMF.
S. E. Moustafa, A. K. Rennermalm, L. C. Smith, M. A. Miller, J. R. Mioduszewski, L. S. Koenig, M. G. Hom, and C. A. Shuman
The Cryosphere, 9, 905–923, https://doi.org/10.5194/tc-9-905-2015, https://doi.org/10.5194/tc-9-905-2015, 2015
C. J. Legleiter, M. Tedesco, L. C. Smith, A. E. Behar, and B. T. Overstreet
The Cryosphere, 8, 215–228, https://doi.org/10.5194/tc-8-215-2014, https://doi.org/10.5194/tc-8-215-2014, 2014
M. Tedesco, X. Fettweis, T. Mote, J. Wahr, P. Alexander, J. E. Box, and B. Wouters
The Cryosphere, 7, 615–630, https://doi.org/10.5194/tc-7-615-2013, https://doi.org/10.5194/tc-7-615-2013, 2013
Related subject area
Discipline: Ice sheets | Subject: Energy Balance Obs/Modelling
Brief communication: Surface energy balance differences over Greenland between ERA5 and ERA-Interim
A computationally efficient statistically downscaled 100 m resolution Greenland product from the regional climate model MAR
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Sensitivity of the surface energy budget to drifting snow as simulated by MAR in coastal Adelie Land, Antarctica
The diurnal Energy Balance Model (dEBM): a convenient surface mass balance solution for ice sheets in Earth system modeling
Long-term surface energy balance of the western Greenland Ice Sheet and the role of large-scale circulation variability
Quantifying the snowmelt–albedo feedback at Neumayer Station, East Antarctica
Brief communication: An ice surface melt scheme including the diurnal cycle of solar radiation
Uta Krebs-Kanzow, Christian B. Rodehacke, and Gerrit Lohmann
The Cryosphere, 17, 5131–5136, https://doi.org/10.5194/tc-17-5131-2023, https://doi.org/10.5194/tc-17-5131-2023, 2023
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We compare components of the surface energy balance from two datasets, ERA5 and ERA-Interim, which can be used to estimate the surface mass balance (SMB) on the Greenland Ice Sheet (GrIS). ERA5 differs significantly from ERA-Interim, especially in the melt regions with lower temperatures and stronger shortwave radiation. Consequently, methods that previously estimated the GrIS SMB from ERA-Interim need to be carefully recalibrated before conversion to ERA5 forcing.
Marco Tedesco, Paolo Colosio, Xavier Fettweis, and Guido Cervone
The Cryosphere, 17, 5061–5074, https://doi.org/10.5194/tc-17-5061-2023, https://doi.org/10.5194/tc-17-5061-2023, 2023
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We developed a technique to improve the outputs of a model that calculates the gain and loss of Greenland and consequently its contribution to sea level rise. Our technique generates “sharper” images of the maps generated by the model to better understand and quantify where losses occur. This has implications for improving models, understanding what drives the contributions of Greenland to sea level rise, and more.
Maria Zeitz, Ronja Reese, Johanna Beckmann, Uta Krebs-Kanzow, and Ricarda Winkelmann
The Cryosphere, 15, 5739–5764, https://doi.org/10.5194/tc-15-5739-2021, https://doi.org/10.5194/tc-15-5739-2021, 2021
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With the increasing melt of the Greenland Ice Sheet, which contributes to sea level rise, the surface of the ice darkens. The dark surfaces absorb more radiation and thus experience increased melt, resulting in the melt–albedo feedback. Using a simple surface melt model, we estimate that this positive feedback contributes to an additional 60 % ice loss in a high-warming scenario and additional 90 % ice loss for moderate warming. Albedo changes are important for Greenland’s future ice loss.
Louis Le Toumelin, Charles Amory, Vincent Favier, Christoph Kittel, Stefan Hofer, Xavier Fettweis, Hubert Gallée, and Vinay Kayetha
The Cryosphere, 15, 3595–3614, https://doi.org/10.5194/tc-15-3595-2021, https://doi.org/10.5194/tc-15-3595-2021, 2021
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Snow is frequently eroded from the surface by the wind in Adelie Land (Antarctica) and suspended in the lower atmosphere. By performing model simulations, we show firstly that suspended snow layers interact with incoming radiation similarly to a near-surface cloud. Secondly, suspended snow modifies the atmosphere's thermodynamic structure and energy exchanges with the surface. Our results suggest snow transport by the wind should be taken into account in future model studies over the region.
Uta Krebs-Kanzow, Paul Gierz, Christian B. Rodehacke, Shan Xu, Hu Yang, and Gerrit Lohmann
The Cryosphere, 15, 2295–2313, https://doi.org/10.5194/tc-15-2295-2021, https://doi.org/10.5194/tc-15-2295-2021, 2021
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The surface mass balance scheme dEBM (diurnal Energy Balance Model) provides a novel, computationally inexpensive interface between the atmosphere and land ice for Earth system modeling. The dEBM is particularly suitable for Earth system modeling on multi-millennial timescales as it accounts for changes in the Earth's orbit and atmospheric greenhouse gas concentration.
Baojuan Huai, Michiel R. van den Broeke, and Carleen H. Reijmer
The Cryosphere, 14, 4181–4199, https://doi.org/10.5194/tc-14-4181-2020, https://doi.org/10.5194/tc-14-4181-2020, 2020
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This study presents the surface energy balance (SEB) of the Greenland Ice Sheet (GrIS) using a SEB model forced with observations from automatic weather stations (AWSs). We correlate ERA5 with AWSs to show a significant positive correlation of GrIS summer surface temperature and melt with the Greenland Blocking Index and weaker and opposite correlations with the North Atlantic Oscillation. This analysis may help explain melting patterns in the GrIS with respect to circulation anomalies.
Constantijn L. Jakobs, Carleen H. Reijmer, Peter Kuipers Munneke, Gert König-Langlo, and Michiel R. van den Broeke
The Cryosphere, 13, 1473–1485, https://doi.org/10.5194/tc-13-1473-2019, https://doi.org/10.5194/tc-13-1473-2019, 2019
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We use 24 years of observations at Neumayer Station, East Antarctica, to calculate the surface energy balance and the associated surface melt, which we find to be mainly driven by the absorption of solar radiation. Meltwater can refreeze in the subsurface snow layers, thereby decreasing the surface albedo and hence allowing for more absorption of solar radiation. By implementing an albedo parameterisation, we show that this feedback accounts for a threefold increase in surface melt at Neumayer.
Uta Krebs-Kanzow, Paul Gierz, and Gerrit Lohmann
The Cryosphere, 12, 3923–3930, https://doi.org/10.5194/tc-12-3923-2018, https://doi.org/10.5194/tc-12-3923-2018, 2018
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We present a new surface melt scheme for land ice. Derived from the energy balance of melting surfaces, the scheme may be particularly suitable for long ice-sheet simulations of past and future climates. It is computationally inexpensive and can be adapted to changes in the Earth's orbit and atmospheric composition. The scheme yields a better spatial representation of surface melt than common empirical schemes when applied to the Greenland Ice Sheet under present-day climate conditions.
Cited articles
Askebjer, P., Barwick, S. W., Bergström, L., Bouchta, A., Carius, S.,
Coulthard, A., Engel, K., Erlandsson, B., Goobar, A., Gray, L., Hallgren,
A., Halzen, F., Hulth, P. O., Jacobsen, J., Johansson, S., Kandhadai, V.,
Liubarsky, I., Lowder, D., Miller, T., Mock, P. C., Morse, R., Porrata, R.,
Price, P. B., Richards, A., Rubinstein, H., Schneider, E., Sun, Q., Tilav,
S., Walck, C., and Yodh, G.: Optical Properties of the South Pole Ice at
Depths Between 0.8 and 1 Kilometer, Science, 267, 1147–1150,
https://doi.org/10.1126/science.267.5201.1147, 1995.
Askebjer, P., Barwick, S. W., Bergström, L., Bouchta, A., Carius, S.,
Dalberg, E., Erlandsson, B., Goobar, A., Gray, L., Hallgren, A., Halzen, F.,
Heukenkamp, H., Hulth, P. O., Hundertmark, S., Jacobsen, J., Kandhadai, V.,
Karle, A., Liubarsky, I., Lowder, D., Miller, T., Mock, P., Morse, R.,
Porrata, R., Price, P. B., Richards, A., Rubinstein, H., Schneider, E.,
Spiering, C., Streicher, O., Sun, Q., Thon, T., Tilav, S., Wischnewski, R.,
Walck, C., and Yodh, G.: UV and optical light transmission properties in deep
ice at the South Pole, Geophys. Res. Lett., 24, 1355–1358,
https://doi.org/10.1029/97GL01246, 1997.
Bintanja, R. and Van Den Broeke, M. R.: The Surface Energy Balance of
Antarctic Snow and Blue Ice, J. Appl. Meteor., 34, 902–926,
https://doi.org/10.1175/1520-0450(1995)034<0902:TSEBOA>2.0.CO;2, 1995.
Bøggild, C. E., Oerter, H., and Tukiainen, T.: Increased ablation of
Wisconsin ice in eastern north Greenland: observations and modelling, Ann. Glaciol., 23, 144–148, https://doi.org/10.3189/S0260305500013367,
1996.
Bøggild, C. E., Brandt, R. E., Brown, K. J. and Warren, S. G.: The
ablation zone in northeast Greenland: ice types, albedos and impurities,
J. Glaciol., 56, 101–113,
https://doi.org/10.3189/002214310791190776, 2010.
Bohren, C. F.: Colors of snow, frozen waterfalls, and icebergs, J. Opt. Soc.
Am., J. Opt. Soc. Am., 73, 1646–1652, https://doi.org/10.1364/JOSA.73.001646, 1983.
Bohren, C. F.: Multiple scattering of light and some of its observable
consequences, Am. J. Phys., 55, 524–533,
https://doi.org/10.1119/1.15109, 1987.
Bohren, C. F. and Barkstrom, B. R.: Theory of the optical properties of
snow, J. Geophys. Res., 79, 4527–4535,
https://doi.org/10.1029/JC079i030p04527, 1974.
Brandt, R. E. and Warren, S. G.: Solar-heating rates and temperature
profiles in Antarctic snow and ice, J. Glaciol., 39, 99–110,
https://doi.org/10.3189/S0022143000015756, 1993.
Briegleb, B. P. and Light, B.: A Delta-Eddington Mutiple Scattering
Parameterization for Solar Radiation in the Sea Ice Component of the
Community Climate System Model, Technical Note, National Center for
Atmospheric Research, Boulder, Colorado, https://doi.org/10.5065/D6B27S71, 2007.
Brunt, K. M., Neumann, T. A., Amundson, J. M., Kavanaugh, J. L., Moussavi, M. S., Walsh, K. M., Cook, W. B., and Markus, T.: MABEL photon-counting laser altimetry data in Alaska for ICESat-2 simulations and development, The Cryosphere, 10, 1707–1719, https://doi.org/10.5194/tc-10-1707-2016, 2016.
Cantrell, C. A.: Technical Note: Review of methods for linear least-squares fitting of data and application to atmospheric chemistry problems, Atmos. Chem. Phys., 8, 5477–5487, https://doi.org/10.5194/acp-8-5477-2008, 2008.
Cooper, M. G.: Ice Monte Carlo Radiative Transfer Model v1.0 (Version v1.0), Zenodo, https://doi.org/10.5281/zenodo.4579073, 2021.
Cooper, M. G., Smith, L. C., Rennermalm, A. K., Miège, C., Pitcher, L. H., Ryan, J. C., Yang, K., and Cooley, S. W.: Meltwater storage in low-density near-surface bare ice in the Greenland ice sheet ablation zone, The Cryosphere, 12, 955–970, https://doi.org/10.5194/tc-12-955-2018, 2018.
Cooper, M. G., Smith, L. C., Rennermalm, A. K., Tedesco, M., Muthyala, R., Leidman, S. Z., Moustafa, S. E., and Fayne, J. V.: Optical attenuation coefficients of glacier ice from 350–700 nm and raw irradiance values from 350–900 nm, PANGAEA, https://doi.org/10.1594/PANGAEA.930278, 2021.
Dadic, R., Mullen, P. C., Schneebeli, M., Brandt, R. E., and Warren, S. G.:
Effects of bubbles, cracks, and volcanic tephra on the spectral albedo of
bare ice near the Transantarctic Mountains: Implications for sea glaciers on
Snowball Earth, J. Geophys. Res.-Earth Surf., 118,
1658–1676, https://doi.org/10.1002/jgrf.20098, 2013.
Deems, J. S., Painter, T. H., and Finnegan, D. C.: Lidar measurement of snow
depth: a review, J. Glaciol., 59, 467–479,
https://doi.org/10.3189/2013JoG12J154, 2013.
Di Mauro, B., Baccolo, G., Garzonio, R., Giardino, C., Massabò, D., Piazzalunga, A., Rossini, M., and Colombo, R.: Impact of impurities and cryoconite on the optical properties of the Morteratsch Glacier (Swiss Alps), The Cryosphere, 11, 2393–2409, https://doi.org/10.5194/tc-11-2393-2017, 2017.
Doherty, S. J., Warren, S. G., Grenfell, T. C., Clarke, A. D., and Brandt, R. E.: Light-absorbing impurities in Arctic snow, Atmos. Chem. Phys., 10, 11647–11680, https://doi.org/10.5194/acp-10-11647-2010, 2010.
Fisher, F. N., King, M. D., and Lee-Taylor, J.: Extinction of
UV-visible radiation in wet midlatitude (maritime) snow: Implications for
increased NOx emission, J. Geophys. Res., 110, D21301,
https://doi.org/10.1029/2005JD005963, 2005.
France, J. L., King, M. D., Frey, M. M., Erbland, J., Picard, G., Preunkert, S., MacArthur, A., and Savarino, J.: Snow optical properties at Dome C (Concordia), Antarctica; implications for snow emissions and snow chemistry of reactive nitrogen, Atmos. Chem. Phys., 11, 9787–9801, https://doi.org/10.5194/acp-11-9787-2011, 2011.
Frey, K. E., Perovich, D. K., and Light, B.: The spatial distribution of
solar radiation under a melting Arctic sea ice cover, Geophys. Res. Lett., 38, L22501, https://doi.org/10.1029/2011GL049421, 2011.
Gardner, A. S. and Sharp, M. J.: A review of snow and ice albedo and the
development of a new physically based broadband albedo parameterization, J.
Geophys. Res., 115, F01009, https://doi.org/10.1029/2009JF001444, 2010.
Gardner, A. S., Smith, B. E., Brunt, K. M., Harding, D. J., Neumann, T., and
Walsh, K.: ICESat2 subsurface-scattering biases estimated based on the
2015 SIMPL/AVRIS campaign, in AGU Fall Meeting Abstracts, vol. 41,
C41C-0710, http://adsabs.harvard.edu/abs/2015AGUFM.C41C0710G (last
access: 25 January 2019), 2015.
Gerland, S., Liston, G. E., Winther, J.-G., Ørbæk, J. B., and
Ivanov, B. V.: Attenuation of solar radiation in Arctic snow: field
observations and modelling, Ann. Glaciol., 31, 364–368,
https://doi.org/10.3189/172756400781820444, 2000.
Goelles, T. and Bøggild, C. E.: Albedo reduction of ice caused by dust
and black carbon accumulation: a model applied to the K-transect, West
Greenland, J. Glaciol., 63, 1063–1076,
https://doi.org/10.1017/jog.2017.74, 2017.
Goelles, T., Bøggild, C. E., and Greve, R.: Ice sheet mass loss caused by dust and black carbon accumulation, The Cryosphere, 9, 1845–1856, https://doi.org/10.5194/tc-9-1845-2015, 2015.
Gow, A. J., Meese, D. A., Alley, R. B., Fitzpatrick, J. J., Anandakrishnan,
S., Woods, G. A., and Elder, B. C.: Physical and structural properties of the
Greenland Ice Sheet Project 2 ice core: A review, J. Geophys. Res.,
102, 26559–26575, https://doi.org/10.1029/97JC00165, 1997.
Greeley, A., Kurtz, N. T., Neumann, T., and Markus, T.: Estimating Surface
Elevation Bias Due to Subsurface Scattered Photons from Visible Wavelength
Laser Altimeters, in AGU Fall Meeting Abstracts, vol. 51,
http://adsabs.harvard.edu/abs/2017AGUFM.C51A0961G (last access: 25 January 2019), 2017.
Grenfell, T. C.: The Effects of Ice Thickness on the Exchange of Solar
Radiation Over the Polar Oceans, J. Glaciol., 22, 305–320,
https://doi.org/10.3189/S0022143000014295, 1979.
Grenfell, T. C.: A radiative transfer model for sea ice with vertical
structure variations, J. Geophys. Res.-Oceans, 96,
16991–17001, https://doi.org/10.1029/91JC01595, 1991.
Grenfell, T. C. and Maykut, G. A.: The Optical Properties of Ice and Snow in
the Arctic Basin, J. Glaciol., 18, 445–463,
https://doi.org/10.3189/S0022143000021122, 1977.
Grenfell, T. C. and Perovich, D. K.: Radiation absorption coefficients of
polycrystalline ice from 400–1400 nm, J. Geophys. Res., 86, 7447–7450,
https://doi.org/10.1029/JC086iC08p07447, 1981.
Grenfell, T. C. and Warren, S. G.: Representation of a nonspherical ice
particle by a collection of independent spheres for scattering and
absorption of radiation, J. Geophys. Res., 104, 31697–31709,
https://doi.org/10.1029/1999JD900496, 1999.
Grenfell, T. C., Light, B., and Perovich, D. K.: Spectral transmission and
implications for the partitioning of shortwave radiation in arctic sea ice,
Ann. Glaciol., 44, 1–6, https://doi.org/10.3189/172756406781811763, 2006.
He, C. and Flanner, M.: Snow Albedo and Radiative Transfer: Theory,
Modeling, and Parameterization, in: Springer Series in Light Scattering,
edited by A. Kokhanovsky, Springer International Publishing,
Cham, 67–133, https://doi.org/10.1007/978-3-030-38696-2_3, 2020.
He, C., Takano, Y., Liou, K.-N., Yang, P., Li, Q., and Chen, F.: Impact of
Snow Grain Shape and Black Carbon–Snow Internal Mixing on Snow Optical
Properties: Parameterizations for Climate Models, J. Climate, 30,
10019–10036, https://doi.org/10.1175/JCLI-D-17-0300.1, 2017.
Hoffman, M. J., Fountain, A. G., and Liston, G. E.: Near-surface internal
melting: a substantial mass loss on Antarctic Dry Valley glaciers, J. Glaciol., 60, 361–374, https://doi.org/10.3189/2014JoG13J095,
2014.
Holland, M. M., Bailey, D. A., Briegleb, B. P., Light, B., and Hunke, E.:
Improved Sea Ice Shortwave Radiation Physics in CCSM4: The Impact of Melt
Ponds and Aerosols on Arctic Sea Ice, J. Climate, 25, 1413–1430,
https://doi.org/10.1175/JCLI-D-11-00078.1, 2012.
Järvinen, O. and Leppäranta, M.: Solar radiation transfer in the
surface snow layer in Dronning Maud Land, Antarctica, Polar Science, 7,
1–17, https://doi.org/10.1016/j.polar.2013.03.002, 2013.
Joseph, J. H., Wiscombe, W. J., and Weinman, J. A.: The Delta-Eddington
Approximation for Radiative Flux Transfer, J. Atmos. Sci., 33,
2452–2459, https://doi.org/10.1175/1520-0469(1976)033<2452:TDEAFR>2.0.CO;2, 1976.
King, M. D. and Simpson, W. R.: Extinction of UV radiation in Arctic snow at
Alert, Canada (82∘ N), J. Geophys. Res., 106, 12499–12507,
https://doi.org/10.1029/2001JD900006, 2001.
Kokhanovsky, A. A. and Zege, E. P.: Scattering optics of snow, Appl. Opt.,
43, 1589, https://doi.org/10.1364/AO.43.001589, 2004.
Kuipers Munneke, P., van den Broeke, M. R., Reijmer, C. H., Helsen, M. M., Boot, W., Schneebeli, M., and Steffen, K.: The role of radiation penetration in the energy budget of the snowpack at Summit, Greenland, The Cryosphere, 3, 155–165, https://doi.org/10.5194/tc-3-155-2009, 2009.
Leathers, R. A., Downes, T. V., Davis, C. O., and Mobley, C. D.: Monte Carlo
Radiative Transfer Simulations for Ocean Optics: A Practical Guide,
Memorandum, Naval Research Laboratory, Washington, DC, available at:
https://www.oceanopticsbook.info/packages/iws_l2h/conversion/files/Leathersetal_NRL2004.pdf (last access:
11 October 2020), 2004.
Libois, Q., Picard, G., France, J. L., Arnaud, L., Dumont, M., Carmagnola, C. M., and King, M. D.: Influence of grain shape on light penetration in snow, The Cryosphere, 7, 1803–1818, https://doi.org/10.5194/tc-7-1803-2013, 2013.
Light, B., Maykut, G. A., and Grenfell, T. C.: A two-dimensional Monte
Carlo model of radiative transfer in sea ice, J. Geophys. Res.-Oceans, 108, 3219, https://doi.org/10.1029/2002JC001513, 2003.
Light, B., Maykut, G. A., and Grenfell, T. C.: A temperature-dependent,
structural-optical model of first-year sea ice, J. Geophys. Res.,
109, C06013, https://doi.org/10.1029/2003JC002164, 2004.
Light, B., Grenfell, T. C., and Perovich, D. K.: Transmission and absorption
of solar radiation by Arctic sea ice during the melt season, J. Geophys.
Res., 113, C03023, https://doi.org/10.1029/2006JC003977, 2008.
Liston, G. E. and Winther, J.-G.: Antarctic Surface and Subsurface Snow
and Ice Melt Fluxes, J. Climate, 18, 1469–1481,
https://doi.org/10.1175/JCLI3344.1, 2005.
Liston, G. E., Bruland, O., Elvehøy, H., and Sand, K.: Below-surface
ice melt on the coastal Antarctic ice sheet, J. Glaciology, 45,
273–285, https://doi.org/10.3189/002214399793377130, 1999a.
Liston, G. E., Bruland, O., Winther, J.-G., Elvehøy, H., and Sand, K.:
Meltwater production in Antarctic blue-ice areas: sensitivity to changes
in atmospheric forcing, Polar Res., 18, 283–290,
https://doi.org/10.1111/j.1751-8369.1999.tb00305.x, 1999b.
Malinka, A., Zege, E., Heygster, G., and Istomina, L.: Reflective properties of white sea ice and snow, The Cryosphere, 10, 2541–2557, https://doi.org/10.5194/tc-10-2541-2016, 2016.
Malinka, A. V.: Light scattering in porous materials: Geometrical optics and
stereological approach, J. Quant. Spectrosc. Ra., 141, 14–23, https://doi.org/10.1016/j.jqsrt.2014.02.022, 2014.
Markus, T., Neumann, T., Martino, A., Abdalati, W., Brunt, K., Csatho, B.,
Farrell, S., Fricker, H., Gardner, A., Harding, D., Jasinski, M., Kwok, R.,
Magruder, L., Lubin, D., Luthcke, S., Morison, J., Nelson, R.,
Neuenschwander, A., Palm, S., Popescu, S., Shum, C., Schutz, B. E., Smith,
B., Yang, Y., and Zwally, J.: The Ice, Cloud, and land Elevation
Satellite-2 (ICESat-2): Science requirements, concept, and
implementation, Remote Sens. Environ., 190, 260–273,
https://doi.org/10.1016/j.rse.2016.12.029, 2017.
Mätzler, C.: MATLAB Functions for Mie Scattering and Absorption, Version
2, Research Report, Institut für Angewandte Physik, Bern, Switzerland,
https://doi.org/10.7892/boris.146550, 2002.
Maykut, G. A. and Untersteiner, N.: Some results from a time-dependent
thermodynamic model of sea ice, J. Geophys. Res., 76, 1550–1575, https://doi.org/10.1029/JC076i006p01550,
1971.
Meirold-Mautner, I. and Lehning, M.: Measurements and model calculations
of the solar shortwave fluxes in snow on Summit, Greenland, Ann. Glaciol., 38, 279–284, https://doi.org/10.3189/172756404781814753, 2004.
Muhs, D. R.: The geologic records of dust in the Quaternary, Aeolian
Res., 9, 3–48, https://doi.org/10.1016/j.aeolia.2012.08.001, 2013.
Mullen, P. C. and Warren, S. G.: Theory of the optical properties of lake
ice, J. Geophys. Res., 93, 8403–8414,
https://doi.org/10.1029/JD093iD07p08403, 1988.
Pegau, W. S. and Zaneveld, J. R. V.: Field measurements of in-ice
radiance, Cold Reg. Sci. Technol., 31, 33–46,
https://doi.org/10.1016/S0165-232X(00)00004-5, 2000.
Perovich, D. K.: The Optical Properties of Sea Ice., U.S. Army Cold Regions
Research and Engineering Laboratory, Hanover, NH,
https://apps.dtic.mil/dtic/tr/fulltext/u2/a310586.pdf, 1996.
Perovich, D. K. and Govoni, J. W.: Absorption coefficients of ice from 250
to 400 nm, Geophys. Res. Lett., 18, 1233–1235,
https://doi.org/10.1029/91GL01642, 1991.
Petit, J. R., Jouzel, J., Raynaud, D., Barkov, N. I., Barnola, J.-M.,
Basile, I., Bender, M., Chappellaz, J., Davis, M., Delaygue, G., Delmotte,
M., Kotlyakov, V. M., Legrand, M., Lipenkov, V. Y., Lorius, C., PÉpin,
L., Ritz, C., Saltzman, E., and Stievenard, M.: Climate and atmospheric
history of the past 420,000 years from the Vostok ice core, Antarctica,
Nature, 399, 429–436, https://doi.org/10.1038/20859, 1999.
Petrenko, V. V., Severinghaus, J. P., Brook, E. J., Reeh, N., and Schaefer,
H.: Gas records from the West Greenland ice margin covering the Last Glacial
Termination: a horizontal ice core, Quatern. Sci. Rev., 25,
865–875, https://doi.org/10.1016/j.quascirev.2005.09.005, 2006.
Picard, G., Libois, Q., and Arnaud, L.: Refinement of the ice absorption spectrum in the visible using radiance profile measurements in Antarctic snow, The Cryosphere, 10, 2655–2672, https://doi.org/10.5194/tc-10-2655-2016, 2016.
Price, P. B. and Bergström, L.: Enhanced Rayleigh scattering as a
signature of nanoscale defects in highly transparent solids, Philos. Mag. A, 75, 1383–1390, https://doi.org/10.1080/01418619708209861, 1997a.
Price, P. B. and Bergström, L.: Optical properties of deep ice at the
South Pole: scattering, Appl. Opt., 36, 4181–4194,
https://doi.org/10.1364/AO.36.004181, 1997b.
Reeh, N., Oerter, H., and Thomsen, H. H.: Comparison between Greenland
ice-margin and ice-core oxygen-18 records, Ann. Glaciol.,
35, 136–144, https://doi.org/10.3189/172756402781817365, 2002.
Ridley, J. K. and Partington, K. C.: A model of satellite radar altimeter
return from ice sheets, International J. Remote Sens., 9,
601–624, https://doi.org/10.1080/01431168808954881, 1988.
Rignot, E., Echelmeyer, K., and Krabill, W.: Penetration depth of
interferometric synthetic-aperture radar signals in snow and ice,
Geophys. Res. Lett., 28, 3501–3504,
https://doi.org/10.1029/2000GL012484, 2001.
Ruth, U., Wagenbach, D., Steffensen, J. P., and Bigler, M.: Continuous record
of microparticle concentration and size distribution in the central
Greenland NGRIP ice core during the last glacial period, J. Geophys. Res.-Atmos., 108, 4098,
https://doi.org/10.1029/2002JD002376, 2003.
Ryan, J. C., Hubbard, A. L., Stibal, M., Irvine-Fynn, T. D., Cook, J.,
Smith, L. C., Cameron, K., and Box, J. E.: Dark zone of the Greenland Ice
Sheet controlled by distributed biologically-active impurities, Nat.
Commun., 9, 1065,
https://doi.org/10.1038/s41467-018-03353-2, 2018.
Schuster, A.: Radiation through a foggy atmosphere, Astrophys.
J., 21, 1–22, 1905.
Schuster, C.: Weathering crust processes on melting glacier ice (Alberta,
Canada), Theses and Dissertations (Comprehensive), no. 489, available at:
http://scholars.wlu.ca/etd/489 (last access: 3 December 2016), 2001.
Schutz, B. E., Zwally, H. J., Shuman, C. A., Hancock, D., and DiMarzio, J.
P.: Overview of the ICESat Mission, Geophys. Res. Lett., 32, L21S01,
https://doi.org/10.1029/2005GL024009, 2005.
Smith, B. E., Gardner, A., Schneider, A., and Flanner, M.: Modeling biases in
laser-altimetry measurements caused by scattering of green light in snow,
Remote Sens. Environ., 215, 398–410,
https://doi.org/10.1016/j.rse.2018.06.012, 2018.
Stibal, M., Box, J. E., Cameron, K. A., Langen, P. L., Yallop, M. L.,
Mottram, R. H., Khan, A. L., Molotch, N. P., Chrismas, N. A. M., Quaglia, F.
C., Remias, D., Smeets, C. J. P. P., Broeke, M. R. van den, Ryan, J. C.,
Hubbard, A., Tranter, M., As, D., van and Ahlstrøm, A. P.: Algae Drive
Enhanced Darkening of Bare Ice on the Greenland Ice Sheet, Geophys. Res. Lett., 44, 11463–11471,
https://doi.org/10.1002/2017GL075958, 2017.
Takeuchi, N.: Optical characteristics of cryoconite (surface dust) on
glaciers: the relationship between light absorbency and the property of
organic matter contained in the cryoconite, Ann. Glaciol., 34,
409–414, https://doi.org/10.3189/172756402781817743, 2002.
Taylor, B. N. and Kuyatt, C. E.: Guidelines for Evaluating and Expressing
the Uncertainty of NIST Measurement Results (NIST Technical Note vol. 1297),
National Institue of Standards and Technology, Gaithersburg, MD,
http://physics.nist.gov/Pubs/guidelines/TN1297/tn1297s.pdf (last access: 18 January 2021), 1994.
Tuzet, F., Dumont, M., Arnaud, L., Voisin, D., Lamare, M., Larue, F., Revuelto, J., and Picard, G.: Influence of light-absorbing particles on snow spectral irradiance profiles, The Cryosphere, 13, 2169–2187, https://doi.org/10.5194/tc-13-2169-2019, 2019.
van de Hulst, H. C.: Multiple light scattering: tables, formulas, and
applications, Academic Press, New York, 1980.
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.
Wang, L., Jacques, S. L., and Zheng, L.: MCML – Monte Carlo modeling of light
transport in multi-layered tissues, Comput. Meth. Prog. Bio., 47, 131–146,
https://doi.org/10.1016/0169-2607(95)01640-F, 1995.
Warren, S. G.: Optical properties of snow, Rev. Geophys., 20, 67–89,
https://doi.org/10.1029/RG020i001p00067, 1982.
Warren, S. G.: Optical constants of ice from the ultraviolet to the
microwave, Appl. Opt., 23, 1206–1225,
https://doi.org/10.1364/AO.23.001206, 1984.
Warren, S. G. and Brandt, R. E.: Optical constants of ice from the
ultraviolet to the microwave: A revised compilation, J. Geophys. Res.,
113, D14220, https://doi.org/10.1029/2007JD009744, 2008.
Warren, S. G., Brandt, R. E., Grenfell, T. C., and McKay, C. P.: Snowball
Earth: Ice thickness on the tropical ocean, J. Geophys. Res.-Oceans, 107, 31-1–31-18, https://doi.org/10.1029/2001JC001123,
2002.
Warren, S. G., Brandt, R. E., and Grenfell, T. C.: Visible and
near-ultraviolet absorption spectrum of ice from transmission of solar
radiation into snow, Appl. Opt., 45, 5320–5334,
https://doi.org/10.1364/AO.45.005320, 2006.
Wientjes, I. G. M., Van de Wal, R. S. W., Reichart, G. J., Sluijs, A., and Oerlemans, J.: Dust from the dark region in the western ablation zone of the Greenland ice sheet, The Cryosphere, 5, 589–601, https://doi.org/10.5194/tc-5-589-2011, 2011.
Wientjes, I. G. M., De Van Wal, R. S. W., Schwikowski, M., Zapf, A., Fahrni,
S., and Wacker, L.: Carbonaceous particles reveal that Late Holocene dust
causes the dark region in the western ablation zone of the Greenland ice
sheet, J. Glaciol., 58, 787–794,
https://doi.org/10.3189/2012JoG11J165, 2012.
Wiscombe, W. J. and Warren, S. G.: A Model for the Spectral Albedo of Snow.
I: Pure Snow, J. Atmos. Sci., 37, 2712–2733,
https://doi.org/10.1175/1520-0469(1980)037<2712:AMFTSA>2.0.CO;2, 1980.
Woschnagg, K. and Price, P. B.: Temperature dependence of absorption in ice
at 532 nm, Appl. Opt., 40, 2496–2500,
https://doi.org/10.1364/AO.40.002496, 2001.
Yallop, M. L., Anesio, A. M., Perkins, R. G., Cook, J., Telling, J., Fagan,
D., MacFarlane, J., Stibal, M., Barker, G., Bellas, C., Hodson, A., Tranter,
M., Wadham, J., and Roberts, N. W.: Photophysiology and albedo-changing
potential of the ice algal community on the surface of the Greenland ice
sheet, ISME J., 6, 2302–2313, https://doi.org/10.1038/ismej.2012.107,
2012.
Yang, Y., Marshak, A., Han, M., Palm, S. P., and Harding, D. J.: Snow grain
size retrieval over the polar ice sheets with the Ice, Cloud, and land
Elevation Satellite (ICESat) observations, J. Quant. Spectrosc. Ra., 188, 159–164,
https://doi.org/10.1016/j.jqsrt.2016.03.033, 2017.
York, D., Evensen, N. M., Martınez, M. L., and De Basabe Delgado, J.:
Unified equations for the slope, intercept, and standard errors of the best
straight line, Am. J. Phys., 72, 367–375,
https://doi.org/10.1119/1.1632486, 2004.
Zebker, H. A. and Weber Hoen, E.: Penetration depths inferred from
interferometric volume decorrelation observed over the Greenland Ice Sheet,
IEEE T. Geosci. Remote Sens., 38, 2571–2583,
https://doi.org/10.1109/36.885204, 2000.
Zhang, X., Qiu, J., Li, X., Zhao, J., and Liu, L.: Complex refractive indices
measurements of polymers in visible and near-infrared bands, Appl. Opt.,
59, 2337, https://doi.org/10.1364/AO.383831, 2020.
Zieger, P., Weingartner, E., Henzing, J., Moerman, M., de Leeuw, G., Mikkilä, J., Ehn, M., Petäjä, T., Clémer, K., van Roozendael, M., Yilmaz, S., Frieß, U., Irie, H., Wagner, T., Shaiganfar, R., Beirle, S., Apituley, A., Wilson, K., and Baltensperger, U.: Comparison of ambient aerosol extinction coefficients obtained from in-situ, MAX-DOAS and LIDAR measurements at Cabauw, Atmos. Chem. Phys., 11, 2603–2624, https://doi.org/10.5194/acp-11-2603-2011, 2011.
Short summary
We measured sunlight transmitted into glacier ice to improve models of glacier ice melt and satellite measurements of glacier ice surfaces. We found that very small concentrations of impurities inside the ice increase absorption of sunlight, but the amount was small enough to enable an estimate of ice absorptivity. We confirmed earlier results that the absorption minimum is near 390 nm. We also found that a layer of highly reflective granular "white ice" near the surface reduces transmittance.
We measured sunlight transmitted into glacier ice to improve models of glacier ice melt and...
