Possible Effect of Anthropogenic Aerosol Deposition on Snow Albedo Reduction at Shinjo, Japan

Motoyoshi, Hiroki; Aoki, Teruo; Hori, Masahiro; Abe, Osamu; Mochizuki, Shigeto

doi:10.2151/jmsj.83a.137

Cited by 19 publications

(18 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…R m of the snow samples varied considerably from 0.07 to 1.3 mm. R m increased with the snow depth from the surface to the bottom, larger than recorded in previous studies because of snow melting by solar radiation and the ILAPs (Hadley and Kirchstetter, 2012;Motoyoshi et al, 2005;Painter et al, 2013;Pedersen et al, 2015). The snow density exhibited little geographical variation across northern China at 0.13 to 0.38 g cm −3 .…”

Section: Contributions To Light Absorption By Ilapsmentioning

confidence: 57%

Observations and model simulations of snow albedo reduction in seasonal snow due to insoluble light-absorbing particles during 2014 Chinese survey

et al. 2017

View full text Add to dashboard Cite

Abstract. A snow survey was carried out to collect 13 surface snow samples (10 for fresh snow, and 3 for aged snow) and 79 subsurface snow samples in seasonal snow at 13 sites across northeastern China in January 2014. A spectrophotometer combined with chemical analysis was used to quantify snow particulate absorption by insoluble light-absorbing particles (ILAPs, e.g., black carbon, BC; mineral dust, MD; and organic carbon, OC) in snow. Snow albedo was measured using a field spectroradiometer. A new radiative transfer model (Spectral Albedo Model for Dirty Snow, or SAMDS) was then developed to simulate the spectral albedo of snow based on the asymptotic radiative transfer theory. A comparison between SAMDS and an existing model -the Snow, Ice, and Aerosol Radiation (SNICAR) -indicates good agreements in the model-simulated spectral albedos of pure snow. However, the SNICAR model values tended to be slightly lower than those of SAMDS when BC and MD were considered. Given the measured BC, MD, and OC mixing ratios of 100-5000, 2000-6000, and 1000-30 000 ng g −1 , respectively, in surface snow across northeastern China, the SAMDS model produced a snow albedo in the range of 0.95-0.75 for fresh snow at 550 nm, with a snow grain optical effective radius (R eff ) of 100 µm. The snow albedo reduction due to spherical snow grains assumed to be aged snow is larger than fresh snow such as fractal snow grains and hexagonal plate or column snow grains associated with the increased BC in snow. For typical BC mixing ratios of 100 ng g −1 in remote areas and 3000 ng g −1 in heavy industrial areas across northern China, the snow albedo for internal mixing of BC and snow is lower by 0.005 and 0.036 than that of external mixing for hexagonal plate or column snow grains with R eff of 100 µm. These results also show that the simulated snow albedos by both SAMDS and SNICAR agree well with the observed values at low ILAP mixing ratios but tend to be higher than surface observations at high ILAP mixing ratios.

show abstract

Section: Contributions To Light Absorption By Ilapsmentioning

confidence: 57%

Observations and model simulations of snow albedo reduction in seasonal snow due to insoluble light-absorbing particles during 2014 Chinese survey

et al. 2017

View full text Add to dashboard Cite

show abstract

“…A possible snow albedo reduction due to black carbon contamination was revealed by radiation measurements at the snow surface performed at Barrow, Alaska (Aoki et al, 1998(Aoki et al, , 2006, and in Japanese urban areas (Motoyoshi et al, 2005). In the case of snow and firn, a field procedure was developed, followed by further standardized lab analyses to quantify and describe black carbon presence and features (Yasunari et al, 2010).…”

Section: Previous Studies and Recent Literature On Fine Debris Occurrmentioning

confidence: 99%

Estimating ice albedo from fine debris cover quantified by a semi-automatic method: the case study of Forni Glacier, Italian Alps

et al. 2016

View full text Add to dashboard Cite

Abstract. In spite of the quite abundant literature focusing on fine debris deposition over glacier accumulation areas, less attention has been paid to the glacier melting surface. Accordingly, we proposed a novel method based on semiautomatic image analysis to estimate ice albedo from fine debris coverage (d). Our procedure was tested on the surface of a wide Alpine valley glacier (the Forni Glacier, Italy), in summer 2011, 2012 and 2013, acquiring parallel data sets of in situ measurements of ice albedo and high-resolution surface images. Analysis of 51 images yielded d values ranging from 0.01 to 0.63 and albedo was found to vary from 0.06 to 0.32. The estimated d values are in a linear relation with the natural logarithm of measured ice albedo (R = −0.84). The robustness of our approach in evaluating d was analyzed through five sensitivity tests, and we found that it is largely replicable. On the Forni Glacier, we also quantified a mean debris coverage rate (C r ) equal to 6 g m −2 per day during the ablation season of 2013, thus supporting previous studies that describe ongoing darkening phenomena at Alpine debris-free glaciers surface. In addition to debris coverage, we also considered the impact of water (both from melt and rainfall) as a factor that tunes albedo: meltwater occurs during the central hours of the day, decreasing the albedo due to its lower reflectivity; instead, rainfall causes a subsequent mean daily albedo increase slightly higher than 20 %, although it is short-lasting (from 1 to 4 days).

show abstract

“…The software used to retrieve SSA from sky-radiometer data assumes particles are spherical, although dust particles are generally nonspherical in shape. Motoyoshi et al (2005) observed broadband snow albedos in the visible and near infrared spectral regions using the snow pit method over an interval of several days, during the winters of 2001/2002 and 2002/2003 at Shinjo, Japan. The comparisons between measured albedos and theoretical ones (calculated using a radiative transfer model for atmosphere-snow systems) revealed that the snow was contaminated by strong absorptive impurities such as soot, in addition to moderate absorptive impurities such as mineral dust.…”

Section: Optical Properties Of Dustmentioning

confidence: 99%

“…Albedo of the dusted is assumed to be 0.7 (thin lines), 0.6 (thick lines) and 0.58 (gray lines), respectively (modified from Fujita, 2002 with permission from the Japanese Association for Arid Land Studies). aerosol is deposited onto the snow surface, it reduces the visible albedo that will result in a climatic change in the cryosphere due to the change in the surface energy budget of the snow cover (Nakawo and Fujita, 2005;Aoki et al, 2005a;Motoyoshi et al, 2005). Han and Nakawo (2005) reported the temporal variation of dust flux during the past 60 years using ice core samples drilled from an ice dome, 6530 m above sea level, in the Chongce Ice Cap in the West Kunlum Mountains.…”

Section: Cryosphere and Dust Interactionmentioning

confidence: 99%

Aeolian dust experiment on climate impact: An overview of Japan–China joint project ADEC

Mikami

Shi

Uno

et al. 2006

Global and Planetary Change

139

View full text Add to dashboard Cite

Possible Effect of Anthropogenic Aerosol Deposition on Snow Albedo Reduction at Shinjo, Japan

Cited by 19 publications

References 21 publications

Observations and model simulations of snow albedo reduction in seasonal snow due to insoluble light-absorbing particles during 2014 Chinese survey

Observations and model simulations of snow albedo reduction in seasonal snow due to insoluble light-absorbing particles during 2014 Chinese survey

Estimating ice albedo from fine debris cover quantified by a semi-automatic method: the case study of Forni Glacier, Italian Alps

Aeolian dust experiment on climate impact: An overview of Japan–China joint project ADEC

Contact Info

Product

Resources

About