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Estimation of snow water equivalence using SIR-C/X-SAR. II. Inferring snow depth and particle size
IEEE Transactions on Geoscience and Remote Sensing, 2000For pt.I see ibid., vol.38, no.6, p.2465-74 (2000). The relationship between snow water equivalence (SWE) and SAR backscattering coefficients at C- and X-band (5.5 and 9.6 GHz) can be either positive or negative. Therefore, discovery of the relationship with an empirical approach is unrealistic.
J. Dozier, J. Shi
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Measuring particle size and snowfall intensity in drifting snow
Cold Regions Science and Technology, 1984Abstract Distributions of particle diameters in drifting snow with concurrent snowfall extend to larger sizes and exhibit a tendency to be bimodal compared to distributions in drifting without snowfall. An electronic system provides measures of these distributions that allow precipitation rates to be estimated even with strong transport of snow along
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Athabasca oil sands region snow contains efficient micron and nano-sized ice nucleating particles
Environmental Pollution, 2019The Athabasca Oil Sands Region (AOSR) in Alberta, Canada, is an important source of atmospheric pollutants, such as aerosols, that have repercussions on both the climate and human health. We show that the mean freezing temperature of snow-borne particles from AOSR was elevated (-7.1 ± 1.8 °C), higher than mineral dust which freezes at ∼ -15 °C and is ...
Rodrigo B, Rangel-Alvarado +6 more
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IEEE Transactions on Geoscience and Remote Sensing, 2020
In this study, as part of an effort to study snowfall characteristics and quantify winter precipitation in East China, we investigated the microphysical properties of snowfall, including size, shape, density, and terminal velocity using a 2-D video disdrometer (2-DVD) and a weighing precipitation gauge in Nanjing (NJ), East China during the winters of ...
Ranting Tao +6 more
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In this study, as part of an effort to study snowfall characteristics and quantify winter precipitation in East China, we investigated the microphysical properties of snowfall, including size, shape, density, and terminal velocity using a 2-D video disdrometer (2-DVD) and a weighing precipitation gauge in Nanjing (NJ), East China during the winters of ...
Ranting Tao +6 more
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Estimates of threshold windspeed from particle sizes in blowing snow
Cold Regions Science and Technology, 1981Abstract Particle size distributions measured in the saltation layer of drifting snow are fitted reasonably well by the two-parameter gamma function. Using these data, the mean particle size 0.25 m above the surface is predicted as a function of windspeed, from the theoretical relationship developed by Budd (1966).
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Cold Regions Science and Technology, 2021
Abstract Snowdrift often occurs in cold regions due to the combination of wind and snowfall. The drift formation and movement processes are complex due to the mixture of air, snow and sometimes water as well as the interaction of the temperature, humidity, pressure and flow.
Wenyong Ma, Feiqiang Li, Xuanyi Zhou
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Abstract Snowdrift often occurs in cold regions due to the combination of wind and snowfall. The drift formation and movement processes are complex due to the mixture of air, snow and sometimes water as well as the interaction of the temperature, humidity, pressure and flow.
Wenyong Ma, Feiqiang Li, Xuanyi Zhou
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2021
<p>Seasonal changes of meteorological and ground surface conditions can cause seasonal changes of source area of mineral particles supplied to the Greenland ice sheet. Difference in metal composition and size distribution of them reflects their source area difference. To clarify seasonal changes in the source area of mineral particles, we
Yuki Komuro +5 more
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<p>Seasonal changes of meteorological and ground surface conditions can cause seasonal changes of source area of mineral particles supplied to the Greenland ice sheet. Difference in metal composition and size distribution of them reflects their source area difference. To clarify seasonal changes in the source area of mineral particles, we
Yuki Komuro +5 more
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Micron, 2003
A technique is proposed for X-ray electron-probe microanalysis (EPMA) of individual particles of solid snow sediment. Two sample preparation procedures were used to analyze the sediments. The PAP-method and the original bi-exponential model were used for matrix correction and the calculation of elemental composition. A method of calculating composition
O Yu, Belozerova +2 more
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A technique is proposed for X-ray electron-probe microanalysis (EPMA) of individual particles of solid snow sediment. Two sample preparation procedures were used to analyze the sediments. The PAP-method and the original bi-exponential model were used for matrix correction and the calculation of elemental composition. A method of calculating composition
O Yu, Belozerova +2 more
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Remote Sensing of Environment, 2008
Abstract We investigated the single scattering optical properties of snow for different ice particle shapes and degrees of microscopic scale roughness. These optical properties were implemented and tested in a coupled atmosphere-snow radiative transfer model.
Zhonghai Jin +4 more
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Abstract We investigated the single scattering optical properties of snow for different ice particle shapes and degrees of microscopic scale roughness. These optical properties were implemented and tested in a coupled atmosphere-snow radiative transfer model.
Zhonghai Jin +4 more
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Proceedings of IGARSS '93 - IEEE International Geoscience and Remote Sensing Symposium, 2002
For meteorological radar observations, it is very important to know the size and the type of precipitation particles. In the paper, the authors propose a simple method to evaluate snow particle size distribution functions using a snow particle VTR image, and show their results by means of this method.
M. Hatanaka +5 more
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For meteorological radar observations, it is very important to know the size and the type of precipitation particles. In the paper, the authors propose a simple method to evaluate snow particle size distribution functions using a snow particle VTR image, and show their results by means of this method.
M. Hatanaka +5 more
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