Densification and grain coarsening of melting snow

A field work was conducted at Moshiri in Japan. The work included intensive snow pit work, taking snow grain photos, recording snow and air temperatures, as well as measuring snow water content. By treating the snow as a viscous fluid, it is found that the snow compactive viscosity decreases as the density increases, which is opposite to the relation for dry snow. Based on the measurements of snow grain size, it is shown that, similar to the watersaturated snow, the frequency distributions of grain size at different times almost have the same shape. This reveals that the waterunsaturated melting snow holds the same graincoarsening behavior as the watersaturated snow does. It is also shown that the waterunsaturated melting snow coarsens much more slowly than the watersaturated snow. The C value, which is the viscosity when the snow density is zero, is related to the mean grain size and found to decrease with increasing grain size. The decreasing rate of C value increases with decreasing graincoarsening rate.     

Evaluation of the SNOWPACK model’s metamorphism and microstructure in Canada: a case study

The snow thermodynamic multi-layer model SNOWPACK was developed to address the risk of avalanches by simulating the vertical properties of snow. Risk and stability assessments are based on the simulation of the vertical variability of snow microstructure, as well as on snow cohesion parameters. Previous research has shown systematic error in grain size simulations (equivalent optical grain size) over several areas in northern Canada. To quantify the simulated errors in snow grain size and uncertainties in stability, the snow specific surface area (SSA) was measured with a laser-based instrument. Optical grain size was retrieved to validate the optical equivalent grain radius from SNOWPACK. The two study plots are located in Glacier National Park, BC, and Jasper National Park, AB, Canada. Profiles for density and stratigraphic analysis were obtained as well as grain size profiles, combined with snow micropenetrometer (SMP) measurements. Density analysis showed good agreement with the simulated values (R² = 0.76). Optical grain size analysis showed systematic overestimation of the modeled values, in agreement with the current literature. The error in SSA evolution for a rounding environment was mostly constant, whereas error for conditions driven by a temperature gradient was linked to the size of the facetted grains.     

Estimate the influence of snow grain size and black carbon on albedo

Estimation of the influence of snow grain size and black carbon on albedo is essential in obtaining the accurate albedo. In this paper, field measurement data, including snow grain size, snow depth and...     

Feasibility study on the binary-parameter retrieval model of ocean suspended sediment concentration based on MODIS data

This paper brought out a new idea on the retrieval of suspended sediment concentration, which uses both the water-leaving radiance from remote sensing data and the grain size of the suspended sediment. A principal component model and a neural network model based on those two parameters were constructed. The analyzing results indicate that testing errors of the models using the two parameters are 0.256 and 0.244, while the errors using only water-leaving radiance are 0.384 and 0.390. The stability of the models with grain size parameter is also better than the one without grain size. This research proved that it is necessary to introduce the grain size parameter into suspended sediment concentration retrieval models in order to improve the retrieval precision of these models.     

Quantitative estimation of the influence factors on snow/ice albedo

Quantitative estimation of the influence of various factors,such as black carbon,snow grain,dust content,and water con tent on albedo is essential in obtaining an accurate albedo.In this paper,field measurement data,including snow grain size,density,liquid water content,and snow depth was obtained.Black carbon and dust samples were collected from the snow surface.A simultaneous observation using ASD(Analytical Spectral Devices)spectral data was employed in the Qiyi glacier located on Qilian Mountain.The measurements were compared with results obtained from the Snow,Ice,and Aerosol Radiation(SNICAR)model.Additionally,a HYbrid Single-Particle Lagrangian Integrated Trajectory(HYSPLIT)air mass backward trajectory model was used to track the source of black carbon.The simulation was found to correlate well with observed data.Liquid water content was the most influential factor of albedo among the several influencing fac tors,followed by black carbon content and snow grain size.Finally,snow density change had the least toward albedo.HYSPLIT atmospheric trajectories model can only approximately show the source of black carbon and not clearly indicate the source region of black carbon.     

海洋悬浮泥沙二元特征参数MODIS遥感反演模型研究

本文提出了一种采用海面离水辐射率和泥沙粒径二元特征参数来反演研究海区(渤海)海洋表层悬浮泥沙浓度的新的遥感反演算法,以此为基础分别建立了基于MODIS遥感数据和泥沙粒径二元特征参数的主成分和神经网络两种泥沙浓度反演模型,并对比分析了两类模型的反演精度以及泥沙粒径因子对模型的影响。分析结果表明,新建立的二元特征参数反演算法在采用主成分模型和神经网络模型时的检验误差分别为0.256和0.244,而忽略泥沙粒径因子贡献的主成分模型和神经网络模型的检验误差分别为0.384和0.390,因此可以认为,在泥沙浓度反演模型中加入粒径因子时,模型的预测精度和模型稳定性均比只考虑浓度对反射率贡献的模型有显著改善。     

季节性积雪区不同遮挡条件下深霜发育比较

以中国科学院天山积雪雪崩研究站为研究区,在2009～2010年冬季观测期利用体视显微镜(XTZ-E)及拍照设备和雪特性分析仪(Snow Fork),对3种遮挡条件的开阔地(0遮挡)、树缘(50%遮挡)和树下(90%遮挡)的积雪深霜进行连续观测,比较和分析西北季节性积雪区不同遮挡条件下的深霜发育特征。研究表明:1)深霜发育主要受温度制约,其次是温度梯度。由不同遮挡条件引起积雪累积和太阳辐射差异而导致雪深不同,从而形成的温度环境差异,是深霜发育差异的根本原因。2)深霜发育厚度与雪深呈正相关关系,有开阔地(0遮挡)>树缘(50%遮挡)>树下(90%遮挡),融雪期深霜的消减速率为树下>开阔地>树缘。3)深霜冰晶粒径呈先减小(稳定累积期-过渡期)再增大(-融雪期)的变化,积雪稳定累积期后,深霜粒径开阔地>树缘>树下。4)2009～2010年冬季雪深大,因而圆角深霜(DHxr)和圆角刻面冰晶(FCxr)在深霜中发育最多,二者共占70%～80%。开阔地易发育杯型深霜(DHcp),树缘和树下则易发育柱状条纹深霜(DHla)、棱柱状深霜(DHpr)和刻面冰晶(FCso)。深霜中胶结态冰晶约占10%～30%,其比例在开阔地深霜中递减,而在树缘和树下处递增。     

渤海海洋悬浮泥沙二元特征参数MODIS遥感反演模型研究

This paper brought out a new idea on the retrieval of suspended sediment concentration, which uses both the water-leaving radiance from remote sensing data and the grain size of the suspended sediment. A principal component model and a neural network model based on those two parameters were constructed. The analyzing results indicate that testing errors of the models using the two parameters are 0.256 and 0.244, while the errors using only water-leaving radiance are 0,384 and 0.390. The stability of the models with grain size parameter is also better than the one without grain size. This research proved that it is necessary to introduce the grain size parameter into suspended sediment concentration retrieval models in order to improve the retrieval precision of these models.     

Radiometric investigation of different snow covers in Svalbard

This paper examines the relationship between reflectance and physical characteristics of the snow cover in the Arctic. Field data were acquired for different snow and ice surfaces during a survey carried out at Ny-Ålesund, Svalbard, in spring 1998. In each measurement reflectance in the spectral range 350 - 2500 nm, snow data (including temperature, grain size and shape, density and water content), surface layer morphology, and vertical profile of the snow pack were recorded detailed analysis of reflectance based on the physical was performed. Field reflectance data were also re-sampled at the spectral intervals of Landsat TM to compare the ability of identifying different snow targets at discrete wavelength intervals. This analysis shows that reliable data on snow structure and thickness are necessary to understand albedo changes of the snow surfaces.     

用EOS/MODIS资料反演积雪深度参量

利用EOS/MODIS可见光、近红外及短红外多通道资料以及新疆地区积雪深度气象台站实测资料等,在考虑积雪性质包括积雪粒子相态、积雪年龄等的差异以及积雪区的下垫面条件包括地表粗糙度、土地覆盖类型等的不同的情况下进行积雪分类,在此基础上,建立EOS/MODIS积雪深度反演模型,实现深度在30 cm以内的积雪深度反演的主要原理、思路及方法,并对模型的反演结果进行了验证。结果表明,利用该模型对30 cm以内的积雪进行深度反演计算,其精度能达到80%以上。     

Solar radiation transfer in the surface snow layer in Dronning Maud Land,Antarctica

Spectroradiometer measurements of solar radiation (the broadest band used 400–900 nm) were performed above and inside the surface snow layer in western Dronning Maud Land, Antarctica, during the austral summer of 2009–2010. The vertical distributions of transmittance and the extinction coefficient were examined from the surface to a depth of 30 cm. Physical characterization of the snowpack included measurements of thickness, density, hardness (hand test), liquid-water content, and grain size and shape (from photographs of grains). The transmittance was <1% in the upper 20 cm and <27% in the upper 10 cm. The mean spectral diffuse extinction coefficient varied between 0.04 and 0.31 cm^-1 (10–20-cm layer). Using the spectral extinction coefficients of the 0–10-cm and 10–20-cm layers, the depth, where broadband (400–700-nm band) irradiance was 1% of the downwelling irradiance at the surface, was 50 cm. The density of the snow in the upper part of the snowpack (depth of 0–55 cm) varied from 300 to 440 kg m^?3. The predominant grain type was large rounded particles (RGlr) and the predominant grain size was 1 mm.     

基于GF-1的青藏高原东南部积雪分布及MODIS积雪产品适用性研究

青藏高原东南部海拔高,地形复杂,云量大,准确掌握该地区的积雪分布特征对于积雪灾害防治非常重要。论文以2013—2019年冬季积雪积累期云量符合要求的35景高分一号(GF-1)影像为基础,将全色影像和多光谱影像融合为2 m分辨率影像,通过目视解译获取了研究区积雪的空间分布特征,结合改进后的30 m分辨率SRTM DEM,探讨了地形对积雪分布的影响。结果表明：积雪像元在研究区范围内占比为33.1%。积雪的垂直分布特征明显：积雪在高程带4000~5000 m(高海拔)处分布较集中,积雪面积占比为18.1%;在高程带0~2000 m、2000~3000 m和6000~7000 m处积雪面积占比均不到0.1%。积雪在北坡、东北坡的分布比例较高,均为15%以上;在南坡、西坡、西南坡、东南坡分布比例较低,均为10%左右。将基于GF-1影像获取的积雪分布分别与同日获取的根据MODIS V6积雪产品计算的积雪比例(MODIS FSC)和积雪分布的对比表明,64.4%的MODIS FSC像元绝对误差不超过10%,MODIS积雪分布产品对含雪像元的漏分率和误分率平均为33.8%和32.7%,说明MODIS积雪产品在研究区的精度还具有较高的不确定性,其对低覆盖积雪反演的精度较差。这表明利用MODIS积雪产品研究青藏高原东南部积雪的时空变化特征时还需要对其积雪反演算法进行改进,同时亟需加强地面观测和基于多源遥感数据的积雪研究。研究结果可为青藏高原东南部雪冰灾害防治提供支撑。     

基于反射率和亮度温度的锡林郭勒积雪深度估算

积雪是我国西北干旱半干旱区重要的水资源,也是影响全球气候变化的重要因子之一。 目前光学影像反射率和雷达亮温数据是积雪遥感领域的主要数据,本文首次结合两类遥感数据估 算积雪深度,并比较偏最小二乘法和机器学习算法（人工神经网络、支持向量机和随机森林算法） 在积雪深度估算方面的表现。以锡林郭勒盟 2012—2015 年积雪深度数据为例,基于反射率和亮度 温度相结合的积雪深度估算精度优于单个数据源,且随机森林算法表现最好,均方根误差为 2.93 cm,满足实际应用的需求。研究结果对我国西北地区水资源分布、生态环境评估等研究具有重要 意义。     

Plowing paradise: snow clearing and urban solar radiation absorption

Abstract

Urban heat islands result from human modification of land surfaces. Snow cover reduces heating due to its reflectivity; however, urban snow is quickly plowed, thus altering surface radiative properties. The goal of this study was to evaluate the extent to which municipal snow removal affects the magnitude of solar input associated with changes in the radiation balance. Incoming and reflected shortwave radiation, surface radiating temperature, air temperature, and snow depth were measured with portable devices at eight sites in Syracuse, New York. Sites were classified as cleared, undisturbed, or snow piles. Measurements were taken following fresh snowfall, and continuing until snow had melted. A HOBO weather station provided hourly baseline conditions. Longevity of snow varied across snow site types, with greater persistence when in piles and on open areas. Albedo was reduced and surface temperatures were higher over cleared areas. The difference between absorbed energy due to clearing was quantified using an albedo regression model for undisturbed sites and comparing these to average reflectivity of cleared surfaces. The magnitude difference over the study period ranged from 841 million to 1670 million MJ. Snow plowing is therefore a significant source of additional energy that enhances the winter urban heat island.     

基于HJ-1数据的木孜塔格峰地区雪深时空变化

以木孜塔格峰地区为研究区,从不同坡度、坡向的样方内测量雪深和采集光谱,通过分析归一化差分雪盖指数（Normalized Difference Snow Index,NDSI）、反照率、HJ-1卫星的红外波段反射率与雪深的相关关系,建立了适用于HJ-1星的积雪深度反演模型,估算出2012年4月14日-25日木孜塔格峰地区的雪深时空变化,并结合实测数据进行验证。结果表明:反照率反演模型的复相关系数为0.992;通过NDSI阈值区分混合雪盖像元和积雪像元,雪深估测精度可达92.78%。冰川区的反照率、NDSI与海拔的相关系数分别为0.626和0.733,且高海拔带反照率值明显高于低海拔带的反照率值。受西风带降雪的影响,非冰川区的北坡雪深值较大;西坡、南坡次之;东坡最小,且雪深最大值出现在坡度约等于10°处。雪深估测的相对误差随着样地的坡度增大而增加,坡度为15°时相对误差较大。     

Meltwater production in Antarctic blue-ice areas: sensitivity to changes in atmospheric forcing

In the near coastal regions of Dronning Maud Land, Antarctica, below-surface ice-melt in blue-ice areas has been observed. The low scattering coefficients of the large-grained blue-ice allow penetration of solar radiation, thus providing an energy source below the ice surface. The sub-surface meltwater is significant enough to show up on remote-sensing imagery in the form of ice-covered lakes. Adjacent snow-accumulation areas have much higher scattering coefficients and consequently limit solar radiation penetration in these regions. These snow and ice surfaces are generally below freezing, and little surface melting occurs. To assess the response of these melt features to changes in atmospheric forcings such as cloudiness, air temperature, and snow accumulation, a physically-based model of the coupled atmosphere, radiation, snow, and blue-ice system has been developed. The model consists of a heat transfer equation with a spectrally-dependent solar-radiation source term. The penetration of radiation into the snow and blue-ice depends on the surface albedo, and the snow and blue-ice grain size and density. Model simulations show that ice melt occurring in this area is sensitive to potential variations in atmospheric forcing. Under certain conditions more traditional surface melting occurs and, under other conditions, the existing melt processes can be shut down completely. In light of the sensitivity of this system to variations in atmospheric forcing, and the ability to view melt-related features using remote sensing, a tool exists to efficiently monitor variations in Antarctic coastal climate.     

河西走廊沙漠反射光谱分析

地物反射光谱特性测试是遥感应用的基础理论研究,遥感图象的灰度值与地物反射率的大小关系极为密切。本文通过野外实测光谱资料的分析,获得以下结论:(1)沙土粒越大,反射率越低,粒度越小,反射率越高;(2)沙土含盐量越大,反射率越高,含盐量越小反射率越低;(3)沙土有机质和金属氧化物含量的增加,一般反射率时显降低。     

基于MODIS数据的川西山区河道水体提取方法研究

MODIS数据时间分辨率较高,将其应用于河道监测优势明显.川西山区河道狭窄,水体像元多为混合像元,并且山区沟壑众多.山区阴影、混合雪盖和城镇区域的反射率特征与山区河道水体反射率特征相近,利用现有方法提取水体难度较大.为将MODIS数据的优势运用于山区河道监测,选定岷江上游区域作为典型研究区域,在对多日MODIS数据中的典型地物进行采样分析后,对归一化植被指数法(NDVI)进行了改进,将其与MODIS第1波段数据组合得到山区水体增强指数(MEWI),实现了图像中山区沟壑的模糊处理,突出了水体.在针对山区地物特点进行图像增强后,河道水体清晰可辨,能够应用于山区5级以上河流的监测.     

Physical properties and stratigraphy of surface snow in western Dronning Maud Land, Antarctica

Information about the spatial variations of snow properties and of annual accumulation on ice sheets is important if we are to understand the results obtained from ice cores, satellite remote sensing data and changes in climate patterns. The layer structure and spatial variations of physical properties of surface snow in western Dronning Maud Land were analysed during the austral summers 1999/2000, 2000/01 and 2003/04 in five different snow zones. The measurements were performed in shallow (1–2 m) snow pits along a transect extending 350 km from the seaward edge of the ice shelf to the polar plateau. These pits covered at least the last annual accumulation and ranged in elevation from near sea level to 2500 m a.s.l. The ع⁸O values and accumulation rates had a good linear correlation with the distance from the coast. The mean accumulation on the ice shelf was 312±28 mm water equivalent (w.e.); in the coastal region it was 215±43 mm w.e. and on the polar plateau it was 92±25 mm w.e. The mean annual conductivity and grain size values decreased exponentially with increasing distance from the ice edge, by 48%/100 km and 18%/100 km respectively. The mean grain size varied between 1.5 and 1.8 mm. Depth hoar layers were a common phenomenon, especially under thin ice crusts, and were associated with low dielectric constant values.     

新疆天山及北疆地区积雪反照率差异

新疆天山和北疆地区是我国三大稳定积雪区之一,积雪反照率的变化显著地影响其地表吸收的太阳辐射能量。2018年1~3月,在新疆天山和北疆地区进行了积雪反照率观测,发现研究区的积雪反照率存在明显的时空差异。时间上,由于受到气温变化的影响,研究区的积雪反照率整体呈现下降的趋势,而且不同时期的下降幅度有差异,1月末~3月初反照率的降低相比1月初~1月末反照率降低更加明显。空间上,由于受到污化物的影响,各区域（阿勒泰地区、塔城地区、天山北坡和伊犁河谷）的积雪反照率之间存在差异,其中天山地区（天山北坡和伊犁河谷）的积雪反照率低于北疆地区（阿勒泰地区和塔城地区）,天山北坡的反照率最低;在积雪稳定期及消融期,污化物对积雪反照率的影响最为明显。