[A-CC27] 雪氷学

[ACC27-07] 可搬型積分球積雪粒径測定装置（HISSGraS）の初期解析結果

*青木 輝夫^1,2,3、庭野 匡思²、山口 悟⁴、的場 澄人⁵、谷川 朋範²、堀 雅裕⁶、島田 利元⁶、八久保 晶弘⁷ (1.岡山大学　大学院自然科学研究科、2.気象庁　気象研究所、3.国立極地研究所、4.防災科学技術研究所、5.北海道大学　低温科学研究所、6.宇宙航空研究開発機構　地球観測研究センター、7.北見工業大学)

キーワード：積雪粒径、比表面積、アルベド、積雪変態

Snow grain size is one of the most important factors as a snow physical parameter expressing the snow metamorphism as well as controlling the albedo. As snow grains are generally non-spherical and complicated shapes, the optically-equivalent grain size is not a common glaciological grain size¹⁾. Thus, various techniques to measure the specific surface area (SSA) as an optically-equivalent grain size have been developed^2-5). It is known from intercomparisons of those techniques so far that one of the most accurate field instruments is IceCube (A2 Photonics Sensor, France)²⁾. The IceCube measures a reflectance of snow sample at the wavelength of 1,310 nm using an integrating sphere and a laser light source. The value of SSA is transformed from the reflectance. A weight of the IceCube is as much as about 20 kg and the snow sampling into a sampling case is needed. These impose not only a workload to the observer but also a certain observation time. We therefore developed a small and light-weight (1/10) instrument, the Handheld Integrating Sphere Snow Grain Sizer (HISSGraS), which operates on the same principle as the IceCube and can measure snow pit face or snow surface directly. This direct measurement enables us to measure the SSA of snow of natural condition in a short time. We measured the SSAs with HISSGraS and IceCube for several snow samples in a cold laboratory and for natural snow pit face in Japan and Greenland. When the SSAs were measured for the same snow samples with both HISSGraS and IceCube, the those SSAs agreed well with each other. When HISSGraS measured snow pit face directly and IceCube measured snow samples collected from the same snow pit, the SSAs by HISSGraS were somewhat larger than those by IceCube. This is because the snow crystals in a sampling case would be compressed at the sampling and the snow grain size could differ from that under natural snow condition.

References

1) Aoki et al. (2007): Remote Sens. Environ., 111, 320−336.
2) Gallet et al. (2009): The Cryosphere, 3, 167-182.
3) Legagneux et al. (2002): J. Geophys. Res., 107(D17), 4335.
4) Hachikubo et al. (2012): Seppyo in Hokkaido, 31, 45–48.
5) Matzl and Schneebeli (2010): Cold Reg. Sci. Tech., 64, 1-8.