Correlation between the specific surface area and the short wave infrared (SWIR) reflectance of snow

被引:91
作者
Domine, Florent
Salvatori, Rosamaria
Legagneux, Loic
Salzano, Roberto
Fily, Michel
Casacchia, Ruggero
机构
[1] CNRS, Lab Glaciol & Geophys Environm, F-38402 St Martin Dheres, France
[2] CNR, Inst Atmospher Pollut, I-00016 Monterotondo, Roma, Italy
关键词
snow; specific surface area; albedo; reflectance; short wave infrared;
D O I
10.1016/j.coldregions.2006.06.002
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The albedo of snow is determined in part by the size and shape of snow crystals, especially in the short wave infrared (SWIR). Many models of snow albedo represent snow crystals by spheres of surface/volume (S/V) ratio equal to that of snow crystals. However, the actual S/V ratio of snow has never been measured simultaneously with the albedo, for a thorough test of models. Using CH4 adsorption at 77 K, we have measured the specific surface area (SSA) of snow samples, i.e. its ratio S/(V-.rho), where rho is the density of ice, together with the snow spectral albedo using a field radiometer with nadir viewing, at Ny-angstrom lesund, Svalbard. Tests are performed at 1310, 1629, 1740 and 2260 ran, and we find a good correlation between the SSA and the snow spectral albedo in the SWIR (linear correlation coefficient R-2 > 0.98 for the last 3 wavelengths). Snow samples having varied crystals shapes such as rounded crystals in windpacks and hollow faceted crystals in depth hoar were studied and crystal shape did not affect the correlation in a detectable manner. An interest in using SSA rather than crystal size to predict SWIR albedo is that the reflectance of large hollow crystals such as depth hoar or surface hoar will be correctly predicted from their SSA, while considering their large dimensions would underestimate reflectance. We compare these correlations to those predicted by commonly used optical models. The best agreement is found when we compare our data to the modeled hemispheric reflectance, corrected by an adjustable factor that shows a small wavelength dependence. We propose that, once these results have been confirmed by more studies, it may be possible to design a rapid and simple optical method to measure snow SSA in the field. Our results may also allow a more detailed use of remote sensing data to study snow metamorphism, air-snow exchanges of gases, and climate. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码:60 / 68
页数:9
相关论文
共 30 条
  • [21] Retrieval of subpixel snow-covered area and grain size from imaging spectrometer data
    Painter, TH
    Dozier, J
    Roberts, DA
    Davis, RE
    Green, RO
    [J]. REMOTE SENSING OF ENVIRONMENT, 2003, 85 (01) : 64 - 77
  • [22] Hemispherical-directional reflectance measurements of natural snow in the 0.9-1.45 μm spectral range:: comparison with adding-doubling modelling
    Sergent, C
    Leroux, C
    Pougatch, E
    Guirado, F
    [J]. ANNALS OF GLACIOLOGY, VOL 26, 1998, 1998, 26 : 59 - 63
  • [23] NUMERICALLY STABLE ALGORITHM FOR DISCRETE-ORDINATE-METHOD RADIATIVE-TRANSFER IN MULTIPLE-SCATTERING AND EMITTING LAYERED MEDIA
    STAMNES, K
    TSAY, SC
    WISCOMBE, W
    JAYAWEERA, K
    [J]. APPLIED OPTICS, 1988, 27 (12): : 2502 - 2509
  • [24] Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: An overview
    Vermote, EF
    Tanre, D
    Deuze, JL
    Herman, M
    Morcrette, JJ
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1997, 35 (03): : 675 - 686
  • [25] WARREN SG, 1980, J ATMOS SCI, V37, P2734, DOI 10.1175/1520-0469(1980)037<2734:AMFTSA>2.0.CO
  • [26] 2
  • [27] OPTICAL-PROPERTIES OF SNOW
    WARREN, SG
    [J]. REVIEWS OF GEOPHYSICS, 1982, 20 (01) : 67 - 89
  • [28] WISCOMBE WJ, 1980, J ATMOS SCI, V37, P2712, DOI 10.1175/1520-0469(1980)037<2712:AMFTSA>2.0.CO
  • [29] 2
  • [30] Effects of vertical inhomogeneity on snow spectral albedo and its implication for optical remote sensing of snow
    Zhou, XB
    Li, SS
    Stamnes, K
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2003, 108 (D23)