29 research outputs found

    Evaluation of Snow Metamorphism and Albedo Process (SMAP) model in Greenland

    Get PDF
    第2回極域科学シンポジウム/第34回気水圏シンポジウム 11月15日(火) 統計数理研究所 セミナー室

    Measurement of snow specific surface area by the BET theory using methane

    Get PDF
    第2回極域科学シンポジウム/第34回気水圏シンポジウム 11月15日(火) 統計数理研究所 3階リフレッシュフロ

    Spectral albedos measured on Qaanaaq Glacier in Greenland

    Get PDF
    第2回極域科学シンポジウム/第34回気水圏シンポジウム 11月15日(火) 統計数理研究所 セミナー室

    Darkening of Greenland ice sheet and satellite-derived snow parameters

    Get PDF
    第6回極域科学シンポジウム分野横断セッション:[IA] 急変する北極気候システム及びその全球的な影響の総合的解明―GRENE北極気候変動研究事業研究成果報告2015―11月19日(木) 国立極地研究所 2階 大会議

    Reanalysis of the long-term trend of JASMES snow cover extent in the Northern Hemisphere

    Get PDF
    第6回極域科学シンポジウム分野横断セッション:[IA] 急変する北極気候システム及びその全球的な影響の総合的解明―GRENE北極気候変動研究事業研究成果報告2015―11月19日(木) 国立極地研究所 2階 大会議

    雪面の熱赤外射出特性の雪質依存性

    No full text
    The potential of the thermal infrared (TIR) remote sensing for discriminating surface snow types was examined by analyzing TIR radiances acquired from space over the Greenland ice sheet. The brightness temperature difference (BTD) between TIR wavelengths of 11 and 12μm was found to increase in accordance with in situ observed evolutions of surface snow type. Spatial and temporal distributions of BTD over the entire ice sheet indicated that BTD has a sensitivity of about 1.2 K for variations of the possible snow types. The observed behaviors of BTD were coincident with those predicted by a radiative transfer calculation using previous in situ measured snow emissivities, although some biases on the order of 0.1-0.3 K remain. The dependence of BTD on the surface snow type was also consistent with the behaviors of snow reflectance at the shortwave infrared (SWIR) wavelength 1.6μm, which is a measure of snow grain size, except for the case of melting wet snow. The inconsistency in the wet snow case was considered to be due to the different optical responses of the TIR and SWIR signals to wet snow, which suggested the possibility of using TIR signals to discriminate wet/dry conditions of snow cover in an old stage. As a result, it is determined that TIR remote sensing has potential not only as an approach supplementary to the SWIR method for assessing surface snow types in daytime but also as the only method for simultaneous retrieval of snow type and surface temperature in nighttime
    corecore