Soot on Snow experiment: bidirectional reflectance factor measurements of contaminated snow

Abstract. In order to quantify the effects of absorbing contaminants on snow, a series of spectral reflectance measurements were conducted. Chimney soot, volcanic sand, and glaciogenic silt were deposited on a natural snow surface in a controlled way as a part of the Soot on Snow (SoS) campaign. The bidirectional reflectance factors of these soiled surfaces and untouched snow were measured using the Finnish Geodetic Institute's Field Goniospectropolariradiometer, FIGIFIGO. A remarkable feature is the fact that the absorbing contaminants on snow enhanced the metamorphism of snow under strong sunlight in our experiments. Immediately after deposition, the contaminated snow surface appeared darker than the natural snow in all viewing directions, but the absorbing particles sank deep into the snow in minutes. The nadir measurement remained the darkest, but at larger zenith angles, the surface of the contaminated snow changed back to almost as white as clean snow. Thus, for a ground observer the darkening caused by impurities can be completely invisible, overestimating the albedo, but a nadir-observing satellite sees the darkest points, underestimating the albedo. Through a reciprocity argument, we predict that at noon, the albedo perturbation should be lower than in the morning or afternoon. When sunlight stimulates sinking more than melting, the albedo should be higher in the afternoon than in the morning, and vice versa when melting dominates. However, differences in the hydrophobic properties, porosity, clumping, or size of the impurities may cause different results than observed in these measurements.

[1]  Philip J. Rasch,et al.  Present-day climate forcing and response from black carbon in snow , 2006 .

[2]  M. Bisiaux Variability of black carbon deposition to the East Antarctic Plateau , 1800 – 2000 , 2011 .

[3]  Ice The international classification for seasonal snow on the ground , 1990 .

[4]  Charles S. Zender,et al.  Linking snowpack microphysics and albedo evolution , 2006 .

[5]  Teemu Hakala,et al.  Land Surface Albedos Computed from BRF Measurements with a Study of Conversion Formulae , 2010, Remote. Sens..

[6]  F. E. Nicodemus,et al.  Geometrical considerations and nomenclature for reflectance , 1977 .

[7]  H. Ólafsson,et al.  Snow–Dust Storm: Unique case study from Iceland, March 6–7, 2013 , 2015 .

[8]  J. Penner,et al.  Variability of black carbon deposition to the East Antarctic Plateau, 1800-2000 AD , 2011 .

[9]  Antony D. Clarke,et al.  A controlled snowmaking experiment testing the relation between black carbon content and reduction of snow albedo , 2011 .

[10]  S. Liang Quantitative Remote Sensing of Land Surfaces , 2003 .

[11]  D. Qin,et al.  Black carbon record based on a shallow Himalayan ice core and its climatic implications , 2007 .

[12]  Antony D. Clarke,et al.  Soot in the Arctic snowpack: a cause for perturbations in radiative transfer , 1985 .

[13]  E. Puttonen,et al.  Polarised bidirectional reflectance factor measurements from soil, stones, and snow , 2009 .

[14]  Teruo Aoki,et al.  Effects of snow physical parameters on spectral albedo and bidirectional reflectance of snow surface , 2000 .

[15]  H. Kaartinen,et al.  Soot on snow experiments: light-absorbing impurities effect on the natural snowpack , 2015 .

[16]  A. Ohmura,et al.  A field study of the hemispherical directional reflectance factor and spectral albedo of dry snow , 2006 .

[17]  J. Kahl,et al.  20th-Century Industrial Black Carbon Emissions Altered Arctic Climate Forcing , 2007, Science.

[18]  E. Isaksson,et al.  Elemental carbon distribution in Svalbard snow , 2009 .

[19]  J. Freud Theory Of Reflectance And Emittance Spectroscopy , 2016 .

[20]  Spectropolarised ray-tracing simulations in densely packed particulate medium , 2007 .

[21]  Maria Gritsevich,et al.  Technical notes: A detailed study for the provision of measurement uncertainty and traceability for goniospectrometers , 2014 .

[22]  Backscattering of light by snow - Field measurements , 2000 .

[23]  Teemu Hakala,et al.  Acquisition of Bidirectional Reflectance Factor Dataset Using a Micro Unmanned Aerial Vehicle and a Consumer Camera , 2010, Remote. Sens..

[24]  H. Lihavainen,et al.  Observed metre scale horizontal variability of elemental carbon in surface snow , 2013 .

[25]  Satoru Yamaguchi,et al.  In situ measurements of polarization properties of snow surface under the Brewster geometry in Hokkaido, Japan, and northwest Greenland ice sheet , 2014 .

[26]  E. Puttonen,et al.  Reflectance of various snow types: measurements, modeling, and potential for snow melt monitoring , 2010 .

[27]  Maria Gritsevich,et al.  Reflectance and polarization characteristics of various vegetation types , 2015 .

[28]  G. Leeuw,et al.  Brief communication: Light-absorbing impurities can reduce the density of melting snow , 2014 .

[29]  T. Painter,et al.  Retrieval of subpixel snow-covered area and grain size from imaging spectrometer data , 2003 .

[30]  Masamu Aniya,et al.  SNOW BIDIRECTIONAL REFLECTANCE MODEL USING NON-SPHERICAL SNOW PARTICLES AND ITS VALIDATION WITH FIELD MEASUREMENTS , 2006 .

[31]  S. Warren,et al.  A Model for the Spectral Albedo of Snow. I: Pure Snow , 1980 .

[32]  Teemu Hakala,et al.  Hemispherical-directional reflectance factor measurements of snow on the Greenland Ice Sheet during the Radiation, Snow Characteristics and Albedo at Summit (RASCALS) campaign , 2014 .

[33]  A. Kokhanovsky,et al.  Parameterization of single-scattering properties of snow , 2015 .

[34]  B. Josse,et al.  Contribution of light-absorbing impurities in snow to Greenland/'s darkening since 2009 , 2014 .

[35]  M. Sofiev,et al.  Spectral albedo of seasonal snow during intensive melt period at Sodankylä, beyond the Arctic Circle , 2013 .

[36]  S. Warren Can black carbon in snow be detected by remote sensing? , 2013 .

[37]  A. Kokhanovsky,et al.  Analysis of snow bidirectional reflectance from ARCTAS Spring-2008 Campaign , 2009 .

[38]  T. Kirchstetter,et al.  Black-carbon reduction of snow albedo , 2012 .

[39]  T. Yao,et al.  Black soot and the survival of Tibetan glaciers , 2009, Proceedings of the National Academy of Sciences.

[40]  A. Kokhanovsky Spectral reflectance of solar light from dirty snow: a simple theoretical model and its validation , 2013 .

[41]  Howard Conway,et al.  Albedo of dirty snow during conditions of melt , 1996 .

[42]  S. Warren,et al.  A Model for the Spectral Albedo of Snow. II: Snow Containing Atmospheric Aerosols , 1980 .

[43]  S. Kaspari,et al.  Recent increase in black carbon concentrations from a Mt. Everest ice core spanning 1860–2000 AD , 2011 .

[44]  Antony D. Clarke,et al.  Light-absorbing impurities in Arctic snow , 2010 .

[45]  Christian Sasse,et al.  Angular scattering measurements and calculations of rough spherically shaped carbon particles , 1995, Optics & Photonics.

[46]  B. DeAngelo,et al.  Bounding the role of black carbon in the climate system: A scientific assessment , 2013 .

[47]  Teemu Hakala,et al.  Polarised Multiangular Reflectance Measurements Using the Finnish Geodetic Institute Field Goniospectrometer , 2009, Sensors.

[48]  J. Suomalainen,et al.  Optical properties of snow in backscatter , 2006 .